---
_id: '63652'
abstract:
- lang: eng
text: In dynamic environments, product management plays a key role in aligning innovation,
customer needs, and strategic decision-making. Digitalization offers significant
opportunities to enhance this role by enabling data-driven insights for improved
customer and product understanding—yet its successful implementation requires
a fundamental transformation. Based on a systematic literature review, this study
synthesizes key advantages, challenges, and design fields that shape this transformation.
The results highlight performance benefits across business, product, process,
and decision-making dimensions, while also uncovering barriers rooted in strategy,
organization, people, and technology. To address these barriers, critical enablers
and conditions for success are identified. Four overarching design fields provide
orientation for structuring digitalization efforts and guiding organizational
change in industrial practice. The paper provides both a conceptual foundation
and a practical guide for companies seeking to digitalize their product management
effectively.
author:
- first_name: Timm
full_name: Fichtler, Timm
id: '66731'
last_name: Fichtler
orcid: https://orcid.org/0000-0001-6034-4399
- first_name: Lisa Irene
full_name: Petzke, Lisa Irene
id: '63192'
last_name: Petzke
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Fichtler T, Petzke LI, Grigoryan K, Koldewey C, Dumitrescu R. Enhancing Product
Management Performance through Digitalization: Advantages, Challenges, Design
Fields. In: Proceedings of the 59th Hawaii International Conference on System
Sciences. ; 2026.'
apa: 'Fichtler, T., Petzke, L. I., Grigoryan, K., Koldewey, C., & Dumitrescu,
R. (2026). Enhancing Product Management Performance through Digitalization: Advantages,
Challenges, Design Fields. Proceedings of the 59th Hawaii International Conference
on System Sciences. 59th Hawaii International Conference on System Sciences,
Maui, Hawaii.'
bibtex: '@inproceedings{Fichtler_Petzke_Grigoryan_Koldewey_Dumitrescu_2026, title={Enhancing
Product Management Performance through Digitalization: Advantages, Challenges,
Design Fields}, booktitle={Proceedings of the 59th Hawaii International Conference
on System Sciences}, author={Fichtler, Timm and Petzke, Lisa Irene and Grigoryan,
Khoren and Koldewey, Christian and Dumitrescu, Roman}, year={2026} }'
chicago: 'Fichtler, Timm, Lisa Irene Petzke, Khoren Grigoryan, Christian Koldewey,
and Roman Dumitrescu. “Enhancing Product Management Performance through Digitalization:
Advantages, Challenges, Design Fields.” In Proceedings of the 59th Hawaii International
Conference on System Sciences, 2026.'
ieee: 'T. Fichtler, L. I. Petzke, K. Grigoryan, C. Koldewey, and R. Dumitrescu,
“Enhancing Product Management Performance through Digitalization: Advantages,
Challenges, Design Fields,” presented at the 59th Hawaii International Conference
on System Sciences, Maui, Hawaii, 2026.'
mla: 'Fichtler, Timm, et al. “Enhancing Product Management Performance through Digitalization:
Advantages, Challenges, Design Fields.” Proceedings of the 59th Hawaii International
Conference on System Sciences, 2026.'
short: 'T. Fichtler, L.I. Petzke, K. Grigoryan, C. Koldewey, R. Dumitrescu, in:
Proceedings of the 59th Hawaii International Conference on System Sciences, 2026.'
conference:
location: Maui, Hawaii
name: ' 59th Hawaii International Conference on System Sciences'
date_created: 2026-01-16T12:57:37Z
date_updated: 2026-01-16T12:57:44Z
department:
- _id: '563'
language:
- iso: eng
main_file_link:
- url: https://hdl.handle.net/10125/111876
publication: Proceedings of the 59th Hawaii International Conference on System Sciences
quality_controlled: '1'
status: public
title: 'Enhancing Product Management Performance through Digitalization: Advantages,
Challenges, Design Fields'
type: conference
user_id: '66731'
year: '2026'
...
---
_id: '63890'
abstract:
- lang: eng
text: The computation of highly contracted electron repulsion integrals (ERIs) is
essential to achieve quantum accuracy in atomistic simulations based on quantum
mechanics. Its growing computational demands make energy efficiency a critical
concern. Recent studies demonstrate FPGAs’ superior performance and energy efficiency
for computing primitive ERIs, but the computation of highly contracted ERIs introduces
significant algorithmic complexity and new design challenges for FPGA acceleration.In
this work, we present SORCERI, the first streaming overlay acceleration for highly
contracted ERI computations on FPGAs. SORCERI introduces a novel streaming Rys
computing unit to calculate roots and weights of Rys polynomials on-chip, and
a streaming contraction unit for the contraction of primitive ERIs. This shifts
the design bottleneck from limited CPU-FPGA communication bandwidth to available
FPGA computation resources. To address practical deployment challenges for a large
number of quartet classes, we design three streaming overlays, together with an
efficient memory transpose optimization, to cover the 21 most commonly used quartet
classes in realistic atomistic simulations. To address the new computation constraints,
we use flexible calculation stages with a free-running streaming architecture
to achieve high DSP utilization and good timing closure.Experiments demonstrate
that SORCERI achieves an average 5.96x, 1.99x, and 1.16x better performance per
watt than libint on a 64-core AMD EPYC 7713 CPU, libintx on an Nvidia A40 GPU,
and SERI, the prior best-performing FPGA design for primitive ERIs. Furthermore,
SORCERI reaches a peak throughput of 44.11 GERIS (109 ERIs per second) that is
1.52x, 1.13x, and 1.93x greater than libint, libintx and SERI, respectively. SORCERI
will be released soon at https://github.com/SFU-HiAccel/SORCERI.
author:
- first_name: Philip
full_name: Stachura, Philip
last_name: Stachura
- first_name: Xin
full_name: Wu, Xin
id: '77439'
last_name: Wu
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
- first_name: Zhenman
full_name: Fang, Zhenman
last_name: Fang
citation:
ama: 'Stachura P, Wu X, Plessl C, Fang Z. SORCERI: Streaming Overlay Acceleration
for Highly Contracted Electron Repulsion Integral Computations in Quantum Chemistry.
In: Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable
Gate Arrays (FPGA ’26). Association for Computing Machinery; 2026:224-234.
doi:10.1145/3748173.3779198'
apa: 'Stachura, P., Wu, X., Plessl, C., & Fang, Z. (2026). SORCERI: Streaming
Overlay Acceleration for Highly Contracted Electron Repulsion Integral Computations
in Quantum Chemistry. Proceedings of the 2026 ACM/SIGDA International Symposium
on Field Programmable Gate Arrays (FPGA ’26), 224–234. https://doi.org/10.1145/3748173.3779198'
bibtex: '@inproceedings{Stachura_Wu_Plessl_Fang_2026, place={New York, NY, USA},
title={SORCERI: Streaming Overlay Acceleration for Highly Contracted Electron
Repulsion Integral Computations in Quantum Chemistry}, DOI={10.1145/3748173.3779198},
booktitle={Proceedings of the 2026 ACM/SIGDA International Symposium on Field
Programmable Gate Arrays (FPGA ’26)}, publisher={Association for Computing Machinery},
author={Stachura, Philip and Wu, Xin and Plessl, Christian and Fang, Zhenman},
year={2026}, pages={224–234} }'
chicago: 'Stachura, Philip, Xin Wu, Christian Plessl, and Zhenman Fang. “SORCERI:
Streaming Overlay Acceleration for Highly Contracted Electron Repulsion Integral
Computations in Quantum Chemistry.” In Proceedings of the 2026 ACM/SIGDA International
Symposium on Field Programmable Gate Arrays (FPGA ’26), 224–34. New York,
NY, USA: Association for Computing Machinery, 2026. https://doi.org/10.1145/3748173.3779198.'
ieee: 'P. Stachura, X. Wu, C. Plessl, and Z. Fang, “SORCERI: Streaming Overlay Acceleration
for Highly Contracted Electron Repulsion Integral Computations in Quantum Chemistry,”
in Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable
Gate Arrays (FPGA ’26), 2026, pp. 224–234, doi: 10.1145/3748173.3779198.'
mla: 'Stachura, Philip, et al. “SORCERI: Streaming Overlay Acceleration for Highly
Contracted Electron Repulsion Integral Computations in Quantum Chemistry.” Proceedings
of the 2026 ACM/SIGDA International Symposium on Field Programmable Gate Arrays
(FPGA ’26), Association for Computing Machinery, 2026, pp. 224–34, doi:10.1145/3748173.3779198.'
short: 'P. Stachura, X. Wu, C. Plessl, Z. Fang, in: Proceedings of the 2026 ACM/SIGDA
International Symposium on Field Programmable Gate Arrays (FPGA ’26), Association
for Computing Machinery, New York, NY, USA, 2026, pp. 224–234.'
date_created: 2026-02-06T06:43:22Z
date_updated: 2026-02-09T09:16:32Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3748173.3779198
keyword:
- electron repulsion integrals
- quantum chemistry
- atomistic simulation
- overlay architecture
- fpga acceleration
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/10.1145/3748173.3779198
page: 224-234
place: New York, NY, USA
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable
Gate Arrays (FPGA '26)
publication_identifier:
isbn:
- '9798400720796'
publication_status: published
publisher: Association for Computing Machinery
status: public
title: 'SORCERI: Streaming Overlay Acceleration for Highly Contracted Electron Repulsion
Integral Computations in Quantum Chemistry'
type: conference
user_id: '77439'
year: '2026'
...
---
_id: '64075'
author:
- first_name: Lynn
full_name: Humpert, Lynn
last_name: Humpert
- first_name: Jannis
full_name: Graunke, Jannis
last_name: Graunke
- first_name: Gerrit
full_name: Cichon, Gerrit
last_name: Cichon
- first_name: Anuradha
full_name: Ammanagi, Anuradha
last_name: Ammanagi
- first_name: Anja
full_name: Schierbaum, Anja
last_name: Schierbaum
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Humpert L, Graunke J, Cichon G, Ammanagi A, Schierbaum A, Dumitrescu R. Generative
AI in Systems Engineering: Automated Creation of System Architectures and Early-Stage
Calculation in the B2B Sector. In: 2025 IEEE International Symposium on Systems
Engineering (ISSE). IEEE; 2026. doi:10.1109/isse65546.2025.11370000'
apa: 'Humpert, L., Graunke, J., Cichon, G., Ammanagi, A., Schierbaum, A., &
Dumitrescu, R. (2026). Generative AI in Systems Engineering: Automated Creation
of System Architectures and Early-Stage Calculation in the B2B Sector. 2025
IEEE International Symposium on Systems Engineering (ISSE). https://doi.org/10.1109/isse65546.2025.11370000'
bibtex: '@inproceedings{Humpert_Graunke_Cichon_Ammanagi_Schierbaum_Dumitrescu_2026,
title={Generative AI in Systems Engineering: Automated Creation of System Architectures
and Early-Stage Calculation in the B2B Sector}, DOI={10.1109/isse65546.2025.11370000},
booktitle={2025 IEEE International Symposium on Systems Engineering (ISSE)}, publisher={IEEE},
author={Humpert, Lynn and Graunke, Jannis and Cichon, Gerrit and Ammanagi, Anuradha
and Schierbaum, Anja and Dumitrescu, Roman}, year={2026} }'
chicago: 'Humpert, Lynn, Jannis Graunke, Gerrit Cichon, Anuradha Ammanagi, Anja
Schierbaum, and Roman Dumitrescu. “Generative AI in Systems Engineering: Automated
Creation of System Architectures and Early-Stage Calculation in the B2B Sector.”
In 2025 IEEE International Symposium on Systems Engineering (ISSE). IEEE,
2026. https://doi.org/10.1109/isse65546.2025.11370000.'
ieee: 'L. Humpert, J. Graunke, G. Cichon, A. Ammanagi, A. Schierbaum, and R. Dumitrescu,
“Generative AI in Systems Engineering: Automated Creation of System Architectures
and Early-Stage Calculation in the B2B Sector,” 2026, doi: 10.1109/isse65546.2025.11370000.'
mla: 'Humpert, Lynn, et al. “Generative AI in Systems Engineering: Automated Creation
of System Architectures and Early-Stage Calculation in the B2B Sector.” 2025
IEEE International Symposium on Systems Engineering (ISSE), IEEE, 2026, doi:10.1109/isse65546.2025.11370000.'
short: 'L. Humpert, J. Graunke, G. Cichon, A. Ammanagi, A. Schierbaum, R. Dumitrescu,
in: 2025 IEEE International Symposium on Systems Engineering (ISSE), IEEE, 2026.'
date_created: 2026-02-09T14:52:15Z
date_updated: 2026-02-09T14:52:40Z
department:
- _id: '563'
doi: 10.1109/isse65546.2025.11370000
language:
- iso: eng
publication: 2025 IEEE International Symposium on Systems Engineering (ISSE)
publication_status: published
publisher: IEEE
status: public
title: 'Generative AI in Systems Engineering: Automated Creation of System Architectures
and Early-Stage Calculation in the B2B Sector'
type: conference
user_id: '15782'
year: '2026'
...
---
_id: '63834'
abstract:
- lang: eng
text: "Abstract\r\n \r\n Many
Android apps collect data from users, and the European Union’s General Data Protection
Regulation (GDPR) mandates clear disclosures of such data collection. However,
apps often use third-party code, complicating accurate disclosures. This paper
investigates how accurately current Android apps fulfill these requirements. In
this work, we present a multi-layered definition of privacy-related data to correctly
report data collection in Android apps. We further create a dataset of privacy-sensitive
data classes that may be used as input by an Android app. This dataset takes into
account data collected both through the user interface and system APIs. Based
on this, we implement a semi-automated prototype that detects and labels privacy-related
data collected by a given Android app. We manually examine the data safety sections
of 70 Android apps to observe how data collection is reported, identifying instances
of over- and under-reporting. We compare our prototype’s results with the data
safety sections of 20 apps revealing reporting discrepancies. Using the results
from two Messaging and Social Media apps (Signal and Instagram), we discuss how
app developers under-report and over-report data collection, respectively, and
identify inaccurately reported data categories. A broader study of 7,500 Android
apps reveals that apps most frequently collect data that can\r\n partially
identify\r\n users. Although system APIs consistently
collect large amounts of privacy-related data, user interfaces exhibit some more
diverse data collection patterns. A more focused study on various domains of apps
reveals that the largest fraction of apps collecting personal data belong to the
domain of\r\n Messaging and Social Media\r\n
\ . Our findings show that location is collected frequently
by apps, specially from the\r\n E-commerce and
Shopping\r\n domain. However, it is often under-reported
in app data safety sections. Our results highlight the need for greater consistency
in privacy-aware app development and reporting practices.\r\n "
article_number: '45'
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Ambuj
full_name: Kumar Mondal, Ambuj
last_name: Kumar Mondal
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: Khedkar M, Kumar Mondal A, Bodden E. A study of privacy-related data collected
by Android apps. Automated Software Engineering. 2026;33(2). doi:10.1007/s10515-025-00589-3
apa: Khedkar, M., Kumar Mondal, A., & Bodden, E. (2026). A study of privacy-related
data collected by Android apps. Automated Software Engineering, 33(2),
Article 45. https://doi.org/10.1007/s10515-025-00589-3
bibtex: '@article{Khedkar_Kumar Mondal_Bodden_2026, title={A study of privacy-related
data collected by Android apps}, volume={33}, DOI={10.1007/s10515-025-00589-3},
number={245}, journal={Automated Software Engineering}, publisher={Springer Science
and Business Media LLC}, author={Khedkar, Mugdha and Kumar Mondal, Ambuj and Bodden,
Eric}, year={2026} }'
chicago: Khedkar, Mugdha, Ambuj Kumar Mondal, and Eric Bodden. “A Study of Privacy-Related
Data Collected by Android Apps.” Automated Software Engineering 33, no.
2 (2026). https://doi.org/10.1007/s10515-025-00589-3.
ieee: 'M. Khedkar, A. Kumar Mondal, and E. Bodden, “A study of privacy-related data
collected by Android apps,” Automated Software Engineering, vol. 33, no.
2, Art. no. 45, 2026, doi: 10.1007/s10515-025-00589-3.'
mla: Khedkar, Mugdha, et al. “A Study of Privacy-Related Data Collected by Android
Apps.” Automated Software Engineering, vol. 33, no. 2, 45, Springer Science
and Business Media LLC, 2026, doi:10.1007/s10515-025-00589-3.
short: M. Khedkar, A. Kumar Mondal, E. Bodden, Automated Software Engineering 33
(2026).
date_created: 2026-02-02T12:36:22Z
date_updated: 2026-02-11T18:33:12Z
ddc:
- '006'
department:
- _id: '76'
doi: 10.1007/s10515-025-00589-3
file:
- access_level: closed
content_type: application/pdf
creator: khedkarm
date_created: 2026-02-11T18:32:52Z
date_updated: 2026-02-11T18:32:52Z
file_id: '64127'
file_name: s10515-025-00589-3-1.pdf
file_size: 3363479
relation: main_file
success: 1
file_date_updated: 2026-02-11T18:32:52Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '2'
language:
- iso: eng
publication: Automated Software Engineering
publication_identifier:
issn:
- 0928-8910
- 1573-7535
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: A study of privacy-related data collected by Android apps
type: journal_article
user_id: '88024'
volume: 33
year: '2026'
...
---
_id: '64223'
abstract:
- lang: eng
text: The complexity and interconnectivity of modern automotive systems
are rapidly increasing, particularly with the rise of distributed and cooperative
driving functions. These developments increase exposure to a range of disruptions,
from technical failures to cyberattacks, and demand a shift towards resilience-by-design.
This study addresses the early integration of resilience into the automotive design
process by proposing a structured method for identifying gaps and eliciting resilience
requirements. Building upon the concept of resilience scenarios, the approach
extends traditional hazard and threat analyses as defined in ISO 26262, ISO 21448
and ISO/SAE 21434. Using a structured, graph-based modeling method, these scenarios
enable the anticipation of functional degradation and its impact on driving scenarios.
The methodology helps developers to specify resilience requirements at an early
stage, enabling the integration of resilience properties throughout the system
lifecycle. Its practical applicability is demonstrated through an example in the
field of automotive cybersecurity. This study advances the field of resilience
engineering by providing a concrete approach for operationalizing resilience within
automotive systems engineering.
article_number: '51'
author:
- first_name: Isaac
full_name: Mpidi Bita, Isaac
last_name: Mpidi Bita
- first_name: Elif
full_name: Ugur, Elif
last_name: Ugur
- first_name: Aschot
full_name: Hovemann, Aschot
last_name: Hovemann
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Mpidi Bita I, Ugur E, Hovemann A, Dumitrescu R. Resilience-by-Design: Extracting
Resilience Requirements Using the Resilience Graph in the Automotive Concept Phase.
Future Internet. 2026;18(1). doi:10.3390/fi18010051'
apa: 'Mpidi Bita, I., Ugur, E., Hovemann, A., & Dumitrescu, R. (2026). Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase. Future Internet, 18(1), Article 51. https://doi.org/10.3390/fi18010051'
bibtex: '@article{Mpidi Bita_Ugur_Hovemann_Dumitrescu_2026, title={Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase}, volume={18}, DOI={10.3390/fi18010051},
number={151}, journal={Future Internet}, publisher={MDPI AG}, author={Mpidi Bita,
Isaac and Ugur, Elif and Hovemann, Aschot and Dumitrescu, Roman}, year={2026}
}'
chicago: 'Mpidi Bita, Isaac, Elif Ugur, Aschot Hovemann, and Roman Dumitrescu. “Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase.” Future Internet 18, no. 1 (2026). https://doi.org/10.3390/fi18010051.'
ieee: 'I. Mpidi Bita, E. Ugur, A. Hovemann, and R. Dumitrescu, “Resilience-by-Design:
Extracting Resilience Requirements Using the Resilience Graph in the Automotive
Concept Phase,” Future Internet, vol. 18, no. 1, Art. no. 51, 2026, doi:
10.3390/fi18010051.'
mla: 'Mpidi Bita, Isaac, et al. “Resilience-by-Design: Extracting Resilience Requirements
Using the Resilience Graph in the Automotive Concept Phase.” Future Internet,
vol. 18, no. 1, 51, MDPI AG, 2026, doi:10.3390/fi18010051.'
short: I. Mpidi Bita, E. Ugur, A. Hovemann, R. Dumitrescu, Future Internet 18 (2026).
date_created: 2026-02-19T08:59:53Z
date_updated: 2026-02-19T09:00:32Z
department:
- _id: '563'
doi: 10.3390/fi18010051
intvolume: ' 18'
issue: '1'
language:
- iso: eng
publication: Future Internet
publication_identifier:
issn:
- 1999-5903
publication_status: published
publisher: MDPI AG
status: public
title: 'Resilience-by-Design: Extracting Resilience Requirements Using the Resilience
Graph in the Automotive Concept Phase'
type: journal_article
user_id: '15782'
volume: 18
year: '2026'
...
---
_id: '64224'
author:
- first_name: Jingye
full_name: Yee, Jingye
last_name: Yee
- first_name: Dominik
full_name: Hermelingmeier, Dominik
last_name: Hermelingmeier
- first_name: Abishai Asir A.
full_name: Thederajan, Abishai Asir A.
last_name: Thederajan
- first_name: Cheng Yee
full_name: Low, Cheng Yee
last_name: Low
- first_name: Alexander
full_name: Gossen, Alexander
last_name: Gossen
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Yee J, Hermelingmeier D, Thederajan AAA, Low CY, Gossen A, Dumitrescu R. System
Architecture and Analytical Inverse Kinematics for Autonomous Docking of Passenger
Boarding Bridges. In: 2025 IEEE International Symposium on Systems Engineering
(ISSE). IEEE; 2026. doi:10.1109/isse65546.2025.11370093'
apa: Yee, J., Hermelingmeier, D., Thederajan, A. A. A., Low, C. Y., Gossen, A.,
& Dumitrescu, R. (2026). System Architecture and Analytical Inverse Kinematics
for Autonomous Docking of Passenger Boarding Bridges. 2025 IEEE International
Symposium on Systems Engineering (ISSE). https://doi.org/10.1109/isse65546.2025.11370093
bibtex: '@inproceedings{Yee_Hermelingmeier_Thederajan_Low_Gossen_Dumitrescu_2026,
title={System Architecture and Analytical Inverse Kinematics for Autonomous Docking
of Passenger Boarding Bridges}, DOI={10.1109/isse65546.2025.11370093},
booktitle={2025 IEEE International Symposium on Systems Engineering (ISSE)}, publisher={IEEE},
author={Yee, Jingye and Hermelingmeier, Dominik and Thederajan, Abishai Asir A.
and Low, Cheng Yee and Gossen, Alexander and Dumitrescu, Roman}, year={2026} }'
chicago: Yee, Jingye, Dominik Hermelingmeier, Abishai Asir A. Thederajan, Cheng
Yee Low, Alexander Gossen, and Roman Dumitrescu. “System Architecture and Analytical
Inverse Kinematics for Autonomous Docking of Passenger Boarding Bridges.” In 2025
IEEE International Symposium on Systems Engineering (ISSE). IEEE, 2026. https://doi.org/10.1109/isse65546.2025.11370093.
ieee: 'J. Yee, D. Hermelingmeier, A. A. A. Thederajan, C. Y. Low, A. Gossen, and
R. Dumitrescu, “System Architecture and Analytical Inverse Kinematics for Autonomous
Docking of Passenger Boarding Bridges,” 2026, doi: 10.1109/isse65546.2025.11370093.'
mla: Yee, Jingye, et al. “System Architecture and Analytical Inverse Kinematics
for Autonomous Docking of Passenger Boarding Bridges.” 2025 IEEE International
Symposium on Systems Engineering (ISSE), IEEE, 2026, doi:10.1109/isse65546.2025.11370093.
short: 'J. Yee, D. Hermelingmeier, A.A.A. Thederajan, C.Y. Low, A. Gossen, R. Dumitrescu,
in: 2025 IEEE International Symposium on Systems Engineering (ISSE), IEEE, 2026.'
date_created: 2026-02-19T09:01:07Z
date_updated: 2026-02-19T09:02:57Z
department:
- _id: '563'
doi: 10.1109/isse65546.2025.11370093
language:
- iso: eng
publication: 2025 IEEE International Symposium on Systems Engineering (ISSE)
publication_status: published
publisher: IEEE
status: public
title: System Architecture and Analytical Inverse Kinematics for Autonomous Docking
of Passenger Boarding Bridges
type: conference
user_id: '15782'
year: '2026'
...
---
_id: '64226'
author:
- first_name: Dominik
full_name: Hermelingmeier, Dominik
last_name: Hermelingmeier
- first_name: Jannis
full_name: Graunke, Jannis
last_name: Graunke
- first_name: Leon
full_name: Menne, Leon
last_name: Menne
- first_name: Anja Maria
full_name: Schierbaum, Anja Maria
last_name: Schierbaum
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Hermelingmeier D, Graunke J, Menne L, Schierbaum AM, Dumitrescu R. Process
Model for the Development of Physical Prototypes in Context of Hardware Start-Ups
using Maker Systems Engineering. In: 2025 IEEE International Symposium on Systems
Engineering (ISSE). IEEE; 2026. doi:10.1109/isse65546.2025.11370109'
apa: Hermelingmeier, D., Graunke, J., Menne, L., Schierbaum, A. M., & Dumitrescu,
R. (2026). Process Model for the Development of Physical Prototypes in Context
of Hardware Start-Ups using Maker Systems Engineering. 2025 IEEE International
Symposium on Systems Engineering (ISSE). https://doi.org/10.1109/isse65546.2025.11370109
bibtex: '@inproceedings{Hermelingmeier_Graunke_Menne_Schierbaum_Dumitrescu_2026,
title={Process Model for the Development of Physical Prototypes in Context of
Hardware Start-Ups using Maker Systems Engineering}, DOI={10.1109/isse65546.2025.11370109},
booktitle={2025 IEEE International Symposium on Systems Engineering (ISSE)}, publisher={IEEE},
author={Hermelingmeier, Dominik and Graunke, Jannis and Menne, Leon and Schierbaum,
Anja Maria and Dumitrescu, Roman}, year={2026} }'
chicago: Hermelingmeier, Dominik, Jannis Graunke, Leon Menne, Anja Maria Schierbaum,
and Roman Dumitrescu. “Process Model for the Development of Physical Prototypes
in Context of Hardware Start-Ups Using Maker Systems Engineering.” In 2025
IEEE International Symposium on Systems Engineering (ISSE). IEEE, 2026. https://doi.org/10.1109/isse65546.2025.11370109.
ieee: 'D. Hermelingmeier, J. Graunke, L. Menne, A. M. Schierbaum, and R. Dumitrescu,
“Process Model for the Development of Physical Prototypes in Context of Hardware
Start-Ups using Maker Systems Engineering,” 2026, doi: 10.1109/isse65546.2025.11370109.'
mla: Hermelingmeier, Dominik, et al. “Process Model for the Development of Physical
Prototypes in Context of Hardware Start-Ups Using Maker Systems Engineering.”
2025 IEEE International Symposium on Systems Engineering (ISSE), IEEE,
2026, doi:10.1109/isse65546.2025.11370109.
short: 'D. Hermelingmeier, J. Graunke, L. Menne, A.M. Schierbaum, R. Dumitrescu,
in: 2025 IEEE International Symposium on Systems Engineering (ISSE), IEEE, 2026.'
date_created: 2026-02-19T09:02:26Z
date_updated: 2026-02-19T09:03:01Z
department:
- _id: '563'
doi: 10.1109/isse65546.2025.11370109
language:
- iso: eng
publication: 2025 IEEE International Symposium on Systems Engineering (ISSE)
publication_status: published
publisher: IEEE
status: public
title: Process Model for the Development of Physical Prototypes in Context of Hardware
Start-Ups using Maker Systems Engineering
type: conference
user_id: '15782'
year: '2026'
...
---
_id: '64225'
author:
- first_name: Eva-Maria
full_name: Grote, Eva-Maria
last_name: Grote
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Thomas Alexander
full_name: Voelk, Thomas Alexander
last_name: Voelk
- first_name: Stefan Eric
full_name: Schwarz, Stefan Eric
last_name: Schwarz
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
- first_name: Albert
full_name: Albers, Albert
last_name: Albers
citation:
ama: 'Grote E-M, Koldewey C, Voelk TA, Schwarz SE, Dumitrescu R, Albers A. From
Generic to Specific: Scalable Role Modeling for Engineering Advanced Systems.
In: 2025 IEEE International Symposium on Systems Engineering (ISSE). IEEE;
2026. doi:10.1109/isse65546.2025.11370103'
apa: 'Grote, E.-M., Koldewey, C., Voelk, T. A., Schwarz, S. E., Dumitrescu, R.,
& Albers, A. (2026). From Generic to Specific: Scalable Role Modeling for
Engineering Advanced Systems. 2025 IEEE International Symposium on Systems
Engineering (ISSE). https://doi.org/10.1109/isse65546.2025.11370103'
bibtex: '@inproceedings{Grote_Koldewey_Voelk_Schwarz_Dumitrescu_Albers_2026, title={From
Generic to Specific: Scalable Role Modeling for Engineering Advanced Systems},
DOI={10.1109/isse65546.2025.11370103},
booktitle={2025 IEEE International Symposium on Systems Engineering (ISSE)}, publisher={IEEE},
author={Grote, Eva-Maria and Koldewey, Christian and Voelk, Thomas Alexander and
Schwarz, Stefan Eric and Dumitrescu, Roman and Albers, Albert}, year={2026} }'
chicago: 'Grote, Eva-Maria, Christian Koldewey, Thomas Alexander Voelk, Stefan Eric
Schwarz, Roman Dumitrescu, and Albert Albers. “From Generic to Specific: Scalable
Role Modeling for Engineering Advanced Systems.” In 2025 IEEE International
Symposium on Systems Engineering (ISSE). IEEE, 2026. https://doi.org/10.1109/isse65546.2025.11370103.'
ieee: 'E.-M. Grote, C. Koldewey, T. A. Voelk, S. E. Schwarz, R. Dumitrescu, and
A. Albers, “From Generic to Specific: Scalable Role Modeling for Engineering Advanced
Systems,” 2026, doi: 10.1109/isse65546.2025.11370103.'
mla: 'Grote, Eva-Maria, et al. “From Generic to Specific: Scalable Role Modeling
for Engineering Advanced Systems.” 2025 IEEE International Symposium on Systems
Engineering (ISSE), IEEE, 2026, doi:10.1109/isse65546.2025.11370103.'
short: 'E.-M. Grote, C. Koldewey, T.A. Voelk, S.E. Schwarz, R. Dumitrescu, A. Albers,
in: 2025 IEEE International Symposium on Systems Engineering (ISSE), IEEE, 2026.'
date_created: 2026-02-19T09:01:47Z
date_updated: 2026-02-19T09:03:04Z
department:
- _id: '563'
doi: 10.1109/isse65546.2025.11370103
language:
- iso: eng
publication: 2025 IEEE International Symposium on Systems Engineering (ISSE)
publication_status: published
publisher: IEEE
status: public
title: 'From Generic to Specific: Scalable Role Modeling for Engineering Advanced
Systems'
type: conference
user_id: '15782'
year: '2026'
...
---
_id: '64221'
author:
- first_name: Jonas
full_name: Lick, Jonas
last_name: Lick
- first_name: Fiona
full_name: Kattenstroth, Fiona
last_name: Kattenstroth
- first_name: Hendrik
full_name: van der Valk, Hendrik
last_name: van der Valk
- first_name: Malte
full_name: Trienens, Malte
last_name: Trienens
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Lick J, Kattenstroth F, van der Valk H, Trienens M, Kühn A, Dumitrescu R.
Characterizing Digital Factory Twins: Deriving Archetypes for Research and Industry.
In: 2025 Winter Simulation Conference (WSC). IEEE; 2026. doi:10.1109/wsc68292.2025.11338979'
apa: 'Lick, J., Kattenstroth, F., van der Valk, H., Trienens, M., Kühn, A., &
Dumitrescu, R. (2026). Characterizing Digital Factory Twins: Deriving Archetypes
for Research and Industry. 2025 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc68292.2025.11338979'
bibtex: '@inproceedings{Lick_Kattenstroth_van der Valk_Trienens_Kühn_Dumitrescu_2026,
title={Characterizing Digital Factory Twins: Deriving Archetypes for Research
and Industry}, DOI={10.1109/wsc68292.2025.11338979},
booktitle={2025 Winter Simulation Conference (WSC)}, publisher={IEEE}, author={Lick,
Jonas and Kattenstroth, Fiona and van der Valk, Hendrik and Trienens, Malte and
Kühn, Arno and Dumitrescu, Roman}, year={2026} }'
chicago: 'Lick, Jonas, Fiona Kattenstroth, Hendrik van der Valk, Malte Trienens,
Arno Kühn, and Roman Dumitrescu. “Characterizing Digital Factory Twins: Deriving
Archetypes for Research and Industry.” In 2025 Winter Simulation Conference
(WSC). IEEE, 2026. https://doi.org/10.1109/wsc68292.2025.11338979.'
ieee: 'J. Lick, F. Kattenstroth, H. van der Valk, M. Trienens, A. Kühn, and R. Dumitrescu,
“Characterizing Digital Factory Twins: Deriving Archetypes for Research and Industry,”
2026, doi: 10.1109/wsc68292.2025.11338979.'
mla: 'Lick, Jonas, et al. “Characterizing Digital Factory Twins: Deriving Archetypes
for Research and Industry.” 2025 Winter Simulation Conference (WSC), IEEE,
2026, doi:10.1109/wsc68292.2025.11338979.'
short: 'J. Lick, F. Kattenstroth, H. van der Valk, M. Trienens, A. Kühn, R. Dumitrescu,
in: 2025 Winter Simulation Conference (WSC), IEEE, 2026.'
date_created: 2026-02-19T08:56:31Z
date_updated: 2026-02-19T09:00:37Z
department:
- _id: '563'
doi: 10.1109/wsc68292.2025.11338979
language:
- iso: eng
publication: 2025 Winter Simulation Conference (WSC)
publication_status: published
publisher: IEEE
status: public
title: 'Characterizing Digital Factory Twins: Deriving Archetypes for Research and
Industry'
type: conference
user_id: '15782'
year: '2026'
...
---
_id: '64228'
author:
- first_name: Fabian
full_name: Hanke, Fabian
last_name: Hanke
- first_name: Oliver
full_name: von Heißen, Oliver
last_name: von Heißen
- first_name: Markus
full_name: Feld, Markus
last_name: Feld
- first_name: Tim
full_name: Heuwinkel, Tim
last_name: Heuwinkel
- first_name: Aschot
full_name: Hovemann, Aschot
last_name: Hovemann
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Hanke F, von Heißen O, Feld M, Heuwinkel T, Hovemann A, Dumitrescu R. Cross-View
Trace Link Prediction with Multi-Feature GNNs: Creating and maintaining Traceability
from Requirements to Components. In: 2025 IEEE International Conference on
Technology Management, Operations and Decisions (ICTMOD). IEEE; 2026. doi:10.1109/ictmod66732.2025.11371884'
apa: 'Hanke, F., von Heißen, O., Feld, M., Heuwinkel, T., Hovemann, A., & Dumitrescu,
R. (2026). Cross-View Trace Link Prediction with Multi-Feature GNNs: Creating
and maintaining Traceability from Requirements to Components. 2025 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD). https://doi.org/10.1109/ictmod66732.2025.11371884'
bibtex: '@inproceedings{Hanke_von Heißen_Feld_Heuwinkel_Hovemann_Dumitrescu_2026,
title={Cross-View Trace Link Prediction with Multi-Feature GNNs: Creating and
maintaining Traceability from Requirements to Components}, DOI={10.1109/ictmod66732.2025.11371884},
booktitle={2025 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)}, publisher={IEEE}, author={Hanke, Fabian and von Heißen,
Oliver and Feld, Markus and Heuwinkel, Tim and Hovemann, Aschot and Dumitrescu,
Roman}, year={2026} }'
chicago: 'Hanke, Fabian, Oliver von Heißen, Markus Feld, Tim Heuwinkel, Aschot Hovemann,
and Roman Dumitrescu. “Cross-View Trace Link Prediction with Multi-Feature GNNs:
Creating and Maintaining Traceability from Requirements to Components.” In 2025
IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD). IEEE, 2026. https://doi.org/10.1109/ictmod66732.2025.11371884.'
ieee: 'F. Hanke, O. von Heißen, M. Feld, T. Heuwinkel, A. Hovemann, and R. Dumitrescu,
“Cross-View Trace Link Prediction with Multi-Feature GNNs: Creating and maintaining
Traceability from Requirements to Components,” 2026, doi: 10.1109/ictmod66732.2025.11371884.'
mla: 'Hanke, Fabian, et al. “Cross-View Trace Link Prediction with Multi-Feature
GNNs: Creating and Maintaining Traceability from Requirements to Components.”
2025 IEEE International Conference on Technology Management, Operations and
Decisions (ICTMOD), IEEE, 2026, doi:10.1109/ictmod66732.2025.11371884.'
short: 'F. Hanke, O. von Heißen, M. Feld, T. Heuwinkel, A. Hovemann, R. Dumitrescu,
in: 2025 IEEE International Conference on Technology Management, Operations and
Decisions (ICTMOD), IEEE, 2026.'
date_created: 2026-02-19T09:12:05Z
date_updated: 2026-02-19T09:15:03Z
department:
- _id: '563'
doi: 10.1109/ictmod66732.2025.11371884
language:
- iso: eng
publication: 2025 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)
publication_status: published
publisher: IEEE
status: public
title: 'Cross-View Trace Link Prediction with Multi-Feature GNNs: Creating and maintaining
Traceability from Requirements to Components'
type: conference
user_id: '15782'
year: '2026'
...
---
_id: '64227'
author:
- first_name: Ulf
full_name: Könemann, Ulf
last_name: Könemann
- first_name: Marcel
full_name: Niemeyer, Marcel
last_name: Niemeyer
- first_name: Anja
full_name: Schierbaum, Anja
last_name: Schierbaum
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Könemann U, Niemeyer M, Schierbaum A, Dumitrescu R. Status quo and challenges
of professional Systems Engineering education in industrial practice. In: 2025
IEEE 4th German Education Conference (GECon). IEEE; 2026. doi:10.1109/gecon64629.2025.11369324'
apa: Könemann, U., Niemeyer, M., Schierbaum, A., & Dumitrescu, R. (2026). Status
quo and challenges of professional Systems Engineering education in industrial
practice. 2025 IEEE 4th German Education Conference (GECon). https://doi.org/10.1109/gecon64629.2025.11369324
bibtex: '@inproceedings{Könemann_Niemeyer_Schierbaum_Dumitrescu_2026, title={Status
quo and challenges of professional Systems Engineering education in industrial
practice}, DOI={10.1109/gecon64629.2025.11369324},
booktitle={2025 IEEE 4th German Education Conference (GECon)}, publisher={IEEE},
author={Könemann, Ulf and Niemeyer, Marcel and Schierbaum, Anja and Dumitrescu,
Roman}, year={2026} }'
chicago: Könemann, Ulf, Marcel Niemeyer, Anja Schierbaum, and Roman Dumitrescu.
“Status Quo and Challenges of Professional Systems Engineering Education in Industrial
Practice.” In 2025 IEEE 4th German Education Conference (GECon). IEEE,
2026. https://doi.org/10.1109/gecon64629.2025.11369324.
ieee: 'U. Könemann, M. Niemeyer, A. Schierbaum, and R. Dumitrescu, “Status quo and
challenges of professional Systems Engineering education in industrial practice,”
2026, doi: 10.1109/gecon64629.2025.11369324.'
mla: Könemann, Ulf, et al. “Status Quo and Challenges of Professional Systems Engineering
Education in Industrial Practice.” 2025 IEEE 4th German Education Conference
(GECon), IEEE, 2026, doi:10.1109/gecon64629.2025.11369324.
short: 'U. Könemann, M. Niemeyer, A. Schierbaum, R. Dumitrescu, in: 2025 IEEE 4th
German Education Conference (GECon), IEEE, 2026.'
date_created: 2026-02-19T09:10:57Z
date_updated: 2026-02-19T09:15:08Z
department:
- _id: '563'
doi: 10.1109/gecon64629.2025.11369324
language:
- iso: eng
publication: 2025 IEEE 4th German Education Conference (GECon)
publication_status: published
publisher: IEEE
status: public
title: Status quo and challenges of professional Systems Engineering education in
industrial practice
type: conference
user_id: '15782'
year: '2026'
...
---
_id: '64625'
author:
- first_name: Anna
full_name: Fergusson, Anna
last_name: Fergusson
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Yannik
full_name: Fleischer, Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Malia S.
full_name: Puloka, Malia S.
last_name: Puloka
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Maxine
full_name: Pfannkuch, Maxine
last_name: Pfannkuch
- first_name: Stephanie
full_name: Budgett, Stephanie
last_name: Budgett
- first_name: Michelle
full_name: Dalrymple, Michelle
last_name: Dalrymple
citation:
ama: 'Fergusson A, Podworny S, Fleischer Y, et al. Branching out data science education:
Developing task and computational environment design principles for teaching data
science at the high school level through an international research collaboration.
In: Proceedings of the IASE 2025 Satellite Conference - Statistics and Data
Science Education in STEAM. International Association for Statistics Education;
2026. doi:10.52041/iase25.138'
apa: 'Fergusson, A., Podworny, S., Fleischer, Y., Hüsing, S., Puloka, M. S., Biehler,
R., Pfannkuch, M., Budgett, S., & Dalrymple, M. (2026). Branching out data
science education: Developing task and computational environment design principles
for teaching data science at the high school level through an international research
collaboration. Proceedings of the IASE 2025 Satellite Conference - Statistics
and Data Science Education in STEAM. https://doi.org/10.52041/iase25.138'
bibtex: '@inproceedings{Fergusson_Podworny_Fleischer_Hüsing_Puloka_Biehler_Pfannkuch_Budgett_Dalrymple_2026,
title={Branching out data science education: Developing task and computational
environment design principles for teaching data science at the high school level
through an international research collaboration}, DOI={10.52041/iase25.138},
booktitle={Proceedings of the IASE 2025 Satellite Conference - Statistics and
Data Science Education in STEAM}, publisher={International Association for Statistics
Education}, author={Fergusson, Anna and Podworny, Susanne and Fleischer, Yannik
and Hüsing, Sven and Puloka, Malia S. and Biehler, Rolf and Pfannkuch, Maxine
and Budgett, Stephanie and Dalrymple, Michelle}, year={2026} }'
chicago: 'Fergusson, Anna, Susanne Podworny, Yannik Fleischer, Sven Hüsing, Malia
S. Puloka, Rolf Biehler, Maxine Pfannkuch, Stephanie Budgett, and Michelle Dalrymple.
“Branching out Data Science Education: Developing Task and Computational Environment
Design Principles for Teaching Data Science at the High School Level through an
International Research Collaboration.” In Proceedings of the IASE 2025 Satellite
Conference - Statistics and Data Science Education in STEAM. International
Association for Statistics Education, 2026. https://doi.org/10.52041/iase25.138.'
ieee: 'A. Fergusson et al., “Branching out data science education: Developing
task and computational environment design principles for teaching data science
at the high school level through an international research collaboration,” 2026,
doi: 10.52041/iase25.138.'
mla: 'Fergusson, Anna, et al. “Branching out Data Science Education: Developing
Task and Computational Environment Design Principles for Teaching Data Science
at the High School Level through an International Research Collaboration.” Proceedings
of the IASE 2025 Satellite Conference - Statistics and Data Science Education
in STEAM, International Association for Statistics Education, 2026, doi:10.52041/iase25.138.'
short: 'A. Fergusson, S. Podworny, Y. Fleischer, S. Hüsing, M.S. Puloka, R. Biehler,
M. Pfannkuch, S. Budgett, M. Dalrymple, in: Proceedings of the IASE 2025 Satellite
Conference - Statistics and Data Science Education in STEAM, International Association
for Statistics Education, 2026.'
date_created: 2026-02-25T14:57:57Z
date_updated: 2026-02-25T14:58:49Z
department:
- _id: '67'
doi: 10.52041/iase25.138
language:
- iso: eng
publication: Proceedings of the IASE 2025 Satellite Conference - Statistics and Data
Science Education in STEAM
publication_status: published
publisher: International Association for Statistics Education
status: public
title: 'Branching out data science education: Developing task and computational environment
design principles for teaching data science at the high school level through an
international research collaboration'
type: conference
user_id: '58465'
year: '2026'
...
---
_id: '64783'
author:
- first_name: 'Thilo '
full_name: 'Berger, Thilo '
last_name: Berger
citation:
ama: Berger T. Comparing Existing Methods to Efficiently Place Drones to Connect
Isolated Communication Clusters.; 2026.
apa: Berger, T. (2026). Comparing Existing Methods to Efficiently Place Drones
to Connect Isolated Communication Clusters.
bibtex: '@book{Berger_2026, title={Comparing Existing Methods to Efficiently Place
Drones to Connect Isolated Communication Clusters}, author={Berger, Thilo }, year={2026}
}'
chicago: Berger, Thilo . Comparing Existing Methods to Efficiently Place Drones
to Connect Isolated Communication Clusters, 2026.
ieee: T. Berger, Comparing Existing Methods to Efficiently Place Drones to Connect
Isolated Communication Clusters. 2026.
mla: Berger, Thilo. Comparing Existing Methods to Efficiently Place Drones to
Connect Isolated Communication Clusters. 2026.
short: T. Berger, Comparing Existing Methods to Efficiently Place Drones to Connect
Isolated Communication Clusters, 2026.
date_created: 2026-02-27T12:16:02Z
date_updated: 2026-02-27T12:17:20Z
department:
- _id: '34'
- _id: '7'
- _id: '79'
language:
- iso: eng
status: public
supervisor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
title: Comparing Existing Methods to Efficiently Place Drones to Connect Isolated
Communication Clusters
type: mastersthesis
user_id: '15578'
year: '2026'
...
---
_id: '60990'
abstract:
- lang: eng
text: 'Large Language Models (LLMs) have demonstrated remarkable performance across
a wide range of natural language processing tasks. However, their effectiveness
in low-resource languages remains underexplored, particularly in complex tasks
such as end-to-end Entity Linking (EL), which requires both mention detection
and disambiguation against a knowledge base (KB). In earlier work, we introduced
IndEL — the first end-to-end EL benchmark dataset for the Indonesian language
— covering both a general domain (news) and a specific domain (religious text
from the Indonesian translation of the Quran), and evaluated four traditional
end-to-end EL systems on this dataset. In this study, we propose ELEVATE-ID, a
comprehensive evaluation framework for assessing LLM performance on end-to-end
EL in Indonesian. The framework evaluates LLMs under both zero-shot and fine-tuned
conditions, using multilingual and Indonesian monolingual models, with Wikidata
as the target KB. Our experiments include performance benchmarking, generalization
analysis across domains, and systematic error analysis. Results show that GPT-4
and GPT-3.5 achieve the highest accuracy in zero-shot and fine-tuned settings,
respectively. However, even fine-tuned GPT-3.5 underperforms compared to DBpedia
Spotlight — the weakest of the traditional model baselines — in the general domain.
Interestingly, GPT-3.5 outperforms Babelfy in the specific domain. Generalization
analysis indicates that fine-tuned GPT-3.5 adapts more effectively to cross-domain
and mixed-domain scenarios. Error analysis uncovers persistent challenges that
hinder LLM performance: difficulties with non-complete mentions, acronym disambiguation,
and full-name recognition in formal contexts. These issues point to limitations
in mention boundary detection and contextual grounding. Indonesian-pretrained
LLMs, Komodo and Merak, reveal core weaknesses: template leakage and entity hallucination,
respectively—underscoring architectural and training limitations in low-resource
end-to-end EL.11Code and dataset are available at https://github.com/dice-group/ELEVATE-ID.'
article_type: original
author:
- first_name: Ria Hari
full_name: Gusmita, Ria Hari
id: '71039'
last_name: Gusmita
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Hamada Mohamed Abdelsamee
full_name: Zahera, Hamada Mohamed Abdelsamee
id: '72768'
last_name: Zahera
orcid: 0000-0003-0215-1278
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Gusmita RH, Firmansyah AF, Zahera HMA, Ngonga Ngomo A-C. ELEVATE-ID: Extending
Large Language Models for End-to-End Entity Linking Evaluation in Indonesian.
Data & Knowledge Engineering. 2026;161:102504. doi:https://doi.org/10.1016/j.datak.2025.102504'
apa: 'Gusmita, R. H., Firmansyah, A. F., Zahera, H. M. A., & Ngonga Ngomo, A.-C.
(2026). ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking
Evaluation in Indonesian. Data & Knowledge Engineering, 161,
102504. https://doi.org/10.1016/j.datak.2025.102504'
bibtex: '@article{Gusmita_Firmansyah_Zahera_Ngonga Ngomo_2026, title={ELEVATE-ID:
Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian},
volume={161}, DOI={https://doi.org/10.1016/j.datak.2025.102504},
journal={Data & Knowledge Engineering}, author={Gusmita, Ria Hari and Firmansyah,
Asep Fajar and Zahera, Hamada Mohamed Abdelsamee and Ngonga Ngomo, Axel-Cyrille},
year={2026}, pages={102504} }'
chicago: 'Gusmita, Ria Hari, Asep Fajar Firmansyah, Hamada Mohamed Abdelsamee Zahera,
and Axel-Cyrille Ngonga Ngomo. “ELEVATE-ID: Extending Large Language Models for
End-to-End Entity Linking Evaluation in Indonesian.” Data & Knowledge Engineering
161 (2026): 102504. https://doi.org/10.1016/j.datak.2025.102504.'
ieee: 'R. H. Gusmita, A. F. Firmansyah, H. M. A. Zahera, and A.-C. Ngonga Ngomo,
“ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation
in Indonesian,” Data & Knowledge Engineering, vol. 161, p. 102504,
2026, doi: https://doi.org/10.1016/j.datak.2025.102504.'
mla: 'Gusmita, Ria Hari, et al. “ELEVATE-ID: Extending Large Language Models for
End-to-End Entity Linking Evaluation in Indonesian.” Data & Knowledge Engineering,
vol. 161, 2026, p. 102504, doi:https://doi.org/10.1016/j.datak.2025.102504.'
short: R.H. Gusmita, A.F. Firmansyah, H.M.A. Zahera, A.-C. Ngonga Ngomo, Data &
Knowledge Engineering 161 (2026) 102504.
date_created: 2025-08-24T11:38:51Z
date_updated: 2025-08-25T09:40:13Z
department:
- _id: '574'
doi: https://doi.org/10.1016/j.datak.2025.102504
intvolume: ' 161'
keyword:
- LLMs
- Evaluation
- End-to-end EL
- Indonesian
language:
- iso: eng
main_file_link:
- url: https://www.sciencedirect.com/science/article/pii/S0169023X25000990?utm_campaign=STMJ_220042_AUTH_SERV_PA&utm_medium=email&utm_acid=78351008&SIS_ID=&dgcid=STMJ_220042_AUTH_SERV_PA&CMX_ID=&utm_in=DM591673&utm_source=AC_
page: '102504'
publication: Data & Knowledge Engineering
publication_identifier:
issn:
- 0169-023X
status: public
title: 'ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking
Evaluation in Indonesian'
type: journal_article
user_id: '71039'
volume: 161
year: '2026'
...
---
_id: '62723'
abstract:
- lang: eng
text: Structural measures of graphs, such as treewidth, are central tools in computational
complexity resulting in efficient algorithms when exploiting the parameter. It
is even known that modern SAT solvers work efficiently on instances of small treewidth.
Since these solvers are widely applied, research interests in compact encodings
into (Q)SAT for solving and to understand encoding limitations. Even more general
is the graph parameter clique-width, which unlike treewidth can be small for dense
graphs. Although algorithms are available for clique-width, little is known about
encodings. We initiate the quest to understand encoding capabilities with clique-width
by considering abstract argumentation, which is a robust framework for reasoning
with conflicting arguments. It is based on directed graphs and asks for computationally
challenging properties, making it a natural candidate to study computational properties.
We design novel reductions from argumentation problems to (Q)SAT. Our reductions
linearly preserve the clique-width, resulting in directed decomposition-guided
(DDG) reductions. We establish novel results for all argumentation semantics,
including counting. Notably, the overhead caused by our DDG reductions cannot
be significantly improved under reasonable assumptions.
author:
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Markus
full_name: Hecher, Markus
last_name: Hecher
- first_name: Johanna
full_name: Groven, Johanna
last_name: Groven
- first_name: Johannes K.
full_name: Fichte, Johannes K.
last_name: Fichte
citation:
ama: Mahmood Y, Hecher M, Groven J, Fichte JK. Structure-Aware Encodings of Argumentation
Properties for Clique-width. Pre-print of paper accepted at AAAI 2026.
Published online 2026.
apa: Mahmood, Y., Hecher, M., Groven, J., & Fichte, J. K. (2026). Structure-Aware
Encodings of Argumentation Properties for Clique-width. In Pre-print of paper
accepted at AAAI 2026.
bibtex: '@article{Mahmood_Hecher_Groven_Fichte_2026, title={Structure-Aware Encodings
of Argumentation Properties for Clique-width}, journal={Pre-print of paper accepted
at AAAI 2026}, author={Mahmood, Yasir and Hecher, Markus and Groven, Johanna and
Fichte, Johannes K.}, year={2026} }'
chicago: Mahmood, Yasir, Markus Hecher, Johanna Groven, and Johannes K. Fichte.
“Structure-Aware Encodings of Argumentation Properties for Clique-Width.” Pre-Print
of Paper Accepted at AAAI 2026, 2026.
ieee: Y. Mahmood, M. Hecher, J. Groven, and J. K. Fichte, “Structure-Aware Encodings
of Argumentation Properties for Clique-width,” Pre-print of paper accepted
at AAAI 2026. 2026.
mla: Mahmood, Yasir, et al. “Structure-Aware Encodings of Argumentation Properties
for Clique-Width.” Pre-Print of Paper Accepted at AAAI 2026, 2026.
short: Y. Mahmood, M. Hecher, J. Groven, J.K. Fichte, Pre-Print of Paper Accepted
at AAAI 2026 (2026).
date_created: 2025-12-01T12:05:05Z
date_updated: 2025-12-04T21:09:06Z
department:
- _id: '574'
external_id:
arxiv:
- '2511.10767'
language:
- iso: eng
publication: Pre-print of paper accepted at AAAI 2026
status: public
title: Structure-Aware Encodings of Argumentation Properties for Clique-width
type: preprint
user_id: '99353'
year: '2026'
...
---
_id: '62721'
abstract:
- lang: eng
text: We introduce the notion of contrastive ABox explanations to answer questions
of the type "Why is a an instance of C, but b is not?". While there are various
approaches for explaining positive entailments (why is C(a) entailed by the knowledge
base) as well as missing entailments (why is C(b) not entailed) in isolation,
contrastive explanations consider both at the same time, which allows them to
focus on the relevant commonalities and differences between a and b. We develop
an appropriate notion of contrastive explanations for the special case of ABox
reasoning with description logic ontologies, and analyze the computational complexity
for different variants under different optimality criteria, considering lightweight
as well as more expressive description logics. We implemented a first method for
computing one variant of contrastive explanations, and evaluated it on generated
problems for realistic knowledge bases.
author:
- first_name: Patrick
full_name: Koopmann, Patrick
last_name: Koopmann
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
- first_name: Balram
full_name: Tiwari, Balram
last_name: Tiwari
citation:
ama: Koopmann P, Mahmood Y, Ngonga Ngomo A-C, Tiwari B. Can You Tell the Difference?
Contrastive Explanations for ABox Entailments. Pre-print of paper accepted
at AAAI 2026. Published online 2026.
apa: Koopmann, P., Mahmood, Y., Ngonga Ngomo, A.-C., & Tiwari, B. (2026). Can
You Tell the Difference? Contrastive Explanations for ABox Entailments. In Pre-print
of paper accepted at AAAI 2026.
bibtex: '@article{Koopmann_Mahmood_Ngonga Ngomo_Tiwari_2026, title={Can You Tell
the Difference? Contrastive Explanations for ABox Entailments}, journal={Pre-print
of paper accepted at AAAI 2026}, author={Koopmann, Patrick and Mahmood, Yasir
and Ngonga Ngomo, Axel-Cyrille and Tiwari, Balram}, year={2026} }'
chicago: Koopmann, Patrick, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, and Balram
Tiwari. “Can You Tell the Difference? Contrastive Explanations for ABox Entailments.”
Pre-Print of Paper Accepted at AAAI 2026, 2026.
ieee: P. Koopmann, Y. Mahmood, A.-C. Ngonga Ngomo, and B. Tiwari, “Can You Tell
the Difference? Contrastive Explanations for ABox Entailments,” Pre-print of
paper accepted at AAAI 2026. 2026.
mla: Koopmann, Patrick, et al. “Can You Tell the Difference? Contrastive Explanations
for ABox Entailments.” Pre-Print of Paper Accepted at AAAI 2026, 2026.
short: P. Koopmann, Y. Mahmood, A.-C. Ngonga Ngomo, B. Tiwari, Pre-Print of Paper
Accepted at AAAI 2026 (2026).
date_created: 2025-12-01T12:03:06Z
date_updated: 2025-12-04T21:08:32Z
department:
- _id: '574'
external_id:
arxiv:
- '2511.11281'
language:
- iso: eng
publication: Pre-print of paper accepted at AAAI 2026
status: public
title: Can You Tell the Difference? Contrastive Explanations for ABox Entailments
type: preprint
user_id: '99353'
year: '2026'
...
---
_id: '64823'
abstract:
- lang: eng
text: "Current legal frameworks enforce that Android developers accurately report
the data their apps collect. However, large codebases can make this reporting
challenging. This paper employs an empirical approach to understand developers'
experience with Google Play Store's Data Safety Section (DSS) form.\r\n\r\nWe
first survey 41 Android developers to understand how they categorize privacy-related
data into DSS categories and how confident they feel when completing the DSS form.
To gain a broader and more detailed view of the challenges developers encounter
during the process, we complement the survey with an analysis of 172 online developer
discussions, capturing the perspectives of 642 additional developers. Together,
these two data sources represent insights from 683 developers.\r\n\r\nOur findings
reveal that developers often manually classify the privacy-related data their
apps collect into the data categories defined by Google-or, in some cases, omit
classification entirely-and rely heavily on existing online resources when completing
the form. Moreover, developers are generally confident in recognizing the data
their apps collect, yet they lack confidence in translating this knowledge into
DSS-compliant disclosures. Key challenges include issues in identifying privacy-relevant
data to complete the form, limited understanding of the form, and concerns about
app rejection due to discrepancies with Google's privacy requirements.\r\nThese
results underscore the need for clearer guidance and more accessible tooling to
support developers in meeting privacy-aware reporting obligations. "
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Mohamed Aboubakr Mohamed
full_name: Soliman, Mohamed Aboubakr Mohamed
id: '102489'
last_name: Soliman
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Schlichtig M, Soliman MAM, Bodden E. Challenges in Android Data
Disclosure: An Empirical Study. In: Proceedings of the IEEE/ACM 13th International
Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association
for Computing Machinery, New York, NY, USA, 65–68. ; 2026.'
apa: 'Khedkar, M., Schlichtig, M., Soliman, M. A. M., & Bodden, E. (2026). Challenges
in Android Data Disclosure: An Empirical Study. Proceedings of the IEEE/ACM
13th International Conference on Mobile Software Engineering and Systems (MOBILESoft
’26). Association for Computing Machinery, New York, NY, USA, 65–68. 13th
International Conference on Mobile Software Engineering and Systems 2024, Rio
de Janeiro, Brazil.'
bibtex: '@inproceedings{Khedkar_Schlichtig_Soliman_Bodden_2026, title={Challenges
in Android Data Disclosure: An Empirical Study.}, booktitle={Proceedings of the
IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems
(MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68.},
author={Khedkar, Mugdha and Schlichtig, Michael and Soliman, Mohamed Aboubakr
Mohamed and Bodden, Eric}, year={2026} }'
chicago: 'Khedkar, Mugdha, Michael Schlichtig, Mohamed Aboubakr Mohamed Soliman,
and Eric Bodden. “Challenges in Android Data Disclosure: An Empirical Study.”
In Proceedings of the IEEE/ACM 13th International Conference on Mobile Software
Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery,
New York, NY, USA, 65–68., 2026.'
ieee: 'M. Khedkar, M. Schlichtig, M. A. M. Soliman, and E. Bodden, “Challenges in
Android Data Disclosure: An Empirical Study.,” presented at the 13th International
Conference on Mobile Software Engineering and Systems 2024, Rio de Janeiro, Brazil,
2026.'
mla: 'Khedkar, Mugdha, et al. “Challenges in Android Data Disclosure: An Empirical
Study.” Proceedings of the IEEE/ACM 13th International Conference on Mobile
Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery,
New York, NY, USA, 65–68., 2026.'
short: 'M. Khedkar, M. Schlichtig, M.A.M. Soliman, E. Bodden, in: Proceedings of
the IEEE/ACM 13th International Conference on Mobile Software Engineering and
Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA,
65–68., 2026.'
conference:
end_date: 2026-04-18
location: Rio de Janeiro, Brazil
name: 13th International Conference on Mobile Software Engineering and Systems 2024
start_date: 2026-04-12
date_created: 2026-03-04T08:10:43Z
date_updated: 2026-03-13T12:10:10Z
department:
- _id: '76'
external_id:
arxiv:
- '2601.20459'
keyword:
- static analysis
- data collection
- data protection
- privacy-aware reporting
language:
- iso: eng
publication: Proceedings of the IEEE/ACM 13th International Conference on Mobile Software
Engineering and Systems (MOBILESoft '26). Association for Computing Machinery, New
York, NY, USA, 65–68.
status: public
title: 'Challenges in Android Data Disclosure: An Empirical Study.'
type: conference
user_id: '88024'
year: '2026'
...
---
_id: '64821'
article_number: '56'
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Nihad
full_name: Atakishiyev, Nihad
last_name: Atakishiyev
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Schlichtig M, Atakishiyev N, Bodden E. Between Law and Code: Challenges
and Opportunities for Automating Privacy Assessments. Automated Software Engineering
. 2026;33(2). doi:10.1007/s10515-026-00601-4'
apa: 'Khedkar, M., Schlichtig, M., Atakishiyev, N., & Bodden, E. (2026). Between
Law and Code: Challenges and Opportunities for Automating Privacy Assessments.
Automated Software Engineering , 33(2), Article 56. https://doi.org/10.1007/s10515-026-00601-4'
bibtex: '@article{Khedkar_Schlichtig_Atakishiyev_Bodden_2026, title={Between Law
and Code: Challenges and Opportunities for Automating Privacy Assessments}, volume={33},
DOI={10.1007/s10515-026-00601-4},
number={256}, journal={Automated Software Engineering }, publisher={Springer US},
author={Khedkar, Mugdha and Schlichtig, Michael and Atakishiyev, Nihad and Bodden,
Eric}, year={2026} }'
chicago: 'Khedkar, Mugdha, Michael Schlichtig, Nihad Atakishiyev, and Eric Bodden.
“Between Law and Code: Challenges and Opportunities for Automating Privacy Assessments.”
Automated Software Engineering 33, no. 2 (2026). https://doi.org/10.1007/s10515-026-00601-4.'
ieee: 'M. Khedkar, M. Schlichtig, N. Atakishiyev, and E. Bodden, “Between Law and
Code: Challenges and Opportunities for Automating Privacy Assessments,” Automated
Software Engineering , vol. 33, no. 2, Art. no. 56, 2026, doi: 10.1007/s10515-026-00601-4.'
mla: 'Khedkar, Mugdha, et al. “Between Law and Code: Challenges and Opportunities
for Automating Privacy Assessments.” Automated Software Engineering , vol.
33, no. 2, 56, Springer US, 2026, doi:10.1007/s10515-026-00601-4.'
short: M. Khedkar, M. Schlichtig, N. Atakishiyev, E. Bodden, Automated Software
Engineering 33 (2026).
date_created: 2026-03-04T08:03:14Z
date_updated: 2026-03-13T12:10:38Z
department:
- _id: '76'
doi: 10.1007/s10515-026-00601-4
intvolume: ' 33'
issue: '2'
language:
- iso: eng
publication: 'Automated Software Engineering '
publication_identifier:
unknown:
- 1573-7535
publisher: Springer US
status: public
title: 'Between Law and Code: Challenges and Opportunities for Automating Privacy
Assessments'
type: journal_article
user_id: '88024'
volume: 33
year: '2026'
...
---
_id: '64909'
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Schlichtig M, Bodden E. Source Code-Driven GDPR Documentation:
Supporting RoPA with Assessor View. In: IEEE International Conference on Software
Analysis, Evolution and Reengineering (SANER 2026). ; 2026.'
apa: 'Khedkar, M., Schlichtig, M., & Bodden, E. (2026). Source Code-Driven GDPR
Documentation: Supporting RoPA with Assessor View. IEEE International Conference
on Software Analysis, Evolution and Reengineering (SANER 2026).'
bibtex: '@inproceedings{Khedkar_Schlichtig_Bodden_2026, title={Source Code-Driven
GDPR Documentation: Supporting RoPA with Assessor View}, booktitle={IEEE International
Conference on Software Analysis, Evolution and Reengineering (SANER 2026)}, author={Khedkar,
Mugdha and Schlichtig, Michael and Bodden, Eric}, year={2026} }'
chicago: 'Khedkar, Mugdha, Michael Schlichtig, and Eric Bodden. “Source Code-Driven
GDPR Documentation: Supporting RoPA with Assessor View.” In IEEE International
Conference on Software Analysis, Evolution and Reengineering (SANER 2026),
2026.'
ieee: 'M. Khedkar, M. Schlichtig, and E. Bodden, “Source Code-Driven GDPR Documentation:
Supporting RoPA with Assessor View,” 2026.'
mla: 'Khedkar, Mugdha, et al. “Source Code-Driven GDPR Documentation: Supporting
RoPA with Assessor View.” IEEE International Conference on Software Analysis,
Evolution and Reengineering (SANER 2026), 2026.'
short: 'M. Khedkar, M. Schlichtig, E. Bodden, in: IEEE International Conference
on Software Analysis, Evolution and Reengineering (SANER 2026), 2026.'
date_created: 2026-03-13T12:16:09Z
date_updated: 2026-03-13T12:17:01Z
department:
- _id: '76'
language:
- iso: eng
main_file_link:
- url: https://mugdhak30.github.io/assets/Preprints/RoPA_SANER2026.pdf
publication: IEEE International Conference on Software Analysis, Evolution and Reengineering
(SANER 2026)
status: public
title: 'Source Code-Driven GDPR Documentation: Supporting RoPA with Assessor View'
type: conference
user_id: '88024'
year: '2026'
...
---
_id: '65017'
abstract:
- lang: eng
text: Static Application Security Testing (SAST) tools play a vital role in modern
software development by automatically detecting potential vulnerabilities in source
code. However, their effectiveness is often limited by a high rate of false positives,
which wastes developer's effort and undermines trust in automated analysis. This
work presents a Graph Convolutional Network (GCN) model designed to predict SAST
reports as true and false positive. The model leverages Code Property Graphs (CPGs)
constructed from static analysis results to capture both, structural and semantic
relationships within code. Trained on the CamBenchCAP dataset, the model achieved
an accuracy of 100% on the test set using an 80/20 train-test split. Evaluation
on the CryptoAPI-Bench benchmark further demonstrated the model's practical applicability,
reaching an overall accuracy of up to 96.6%. A detailed qualitative inspection
revealed that many cases marked as misclassifications corresponded to genuine
security weaknesses, indicating that the model effectively reflects conservative,
security-aware reasoning. Identified limitations include incomplete control-flow
representation due to missing interprocedural connections. Future work will focus
on integrating call graphs, applying graph explainability techniques, and extending
training data across multiple SAST tools to improve generalization and interpretability.
author:
- first_name: Tom
full_name: Ohlmer, Tom
last_name: Ohlmer
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: Ohlmer T, Schlichtig M, Bodden E. FP-Predictor - False Positive Prediction
for Static Analysis Reports. arXiv:260310558. Published online 2026.
apa: Ohlmer, T., Schlichtig, M., & Bodden, E. (2026). FP-Predictor - False Positive
Prediction for Static Analysis Reports. In arXiv:2603.10558.
bibtex: '@article{Ohlmer_Schlichtig_Bodden_2026, title={FP-Predictor - False Positive
Prediction for Static Analysis Reports}, journal={arXiv:2603.10558}, author={Ohlmer,
Tom and Schlichtig, Michael and Bodden, Eric}, year={2026} }'
chicago: Ohlmer, Tom, Michael Schlichtig, and Eric Bodden. “FP-Predictor - False
Positive Prediction for Static Analysis Reports.” ArXiv:2603.10558, 2026.
ieee: T. Ohlmer, M. Schlichtig, and E. Bodden, “FP-Predictor - False Positive Prediction
for Static Analysis Reports,” arXiv:2603.10558. 2026.
mla: Ohlmer, Tom, et al. “FP-Predictor - False Positive Prediction for Static Analysis
Reports.” ArXiv:2603.10558, 2026.
short: T. Ohlmer, M. Schlichtig, E. Bodden, ArXiv:2603.10558 (2026).
date_created: 2026-03-16T17:38:33Z
date_updated: 2026-03-16T17:40:31Z
department:
- _id: '76'
external_id:
arxiv:
- '2603.10558'
language:
- iso: eng
publication: arXiv:2603.10558
status: public
title: FP-Predictor - False Positive Prediction for Static Analysis Reports
type: preprint
user_id: '32312'
year: '2026'
...