---
_id: '17714'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: Mohr F, Wever MD, Hüllermeier E. Automated machine learning service composition.
Published online 2018.
apa: Mohr, F., Wever, M. D., & Hüllermeier, E. (2018). Automated machine
learning service composition.
bibtex: '@article{Mohr_Wever_Hüllermeier_2018, title={Automated machine learning
service composition}, author={Mohr, Felix and Wever, Marcel Dominik and Hüllermeier,
Eyke}, year={2018} }'
chicago: Mohr, Felix, Marcel Dominik Wever, and Eyke Hüllermeier. “Automated Machine
Learning Service Composition,” 2018.
ieee: F. Mohr, M. D. Wever, and E. Hüllermeier, “Automated machine learning service
composition.” 2018.
mla: Mohr, Felix, et al. Automated Machine Learning Service Composition.
2018.
short: F. Mohr, M.D. Wever, E. Hüllermeier, (2018).
date_created: 2020-08-07T11:40:13Z
date_updated: 2022-01-06T06:53:17Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/pdf/1809.00486.pdf
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
status: public
title: Automated machine learning service composition
type: preprint
user_id: '5786'
year: '2018'
...
---
_id: '5693'
author:
- first_name: Helena
full_name: Graf, Helena
id: '52640'
last_name: Graf
citation:
ama: Graf H. Ranking of Classification Algorithms in AutoML. Universität
Paderborn; 2018.
apa: Graf, H. (2018). Ranking of Classification Algorithms in AutoML. Universität
Paderborn.
bibtex: '@book{Graf_2018, title={Ranking of Classification Algorithms in AutoML},
publisher={Universität Paderborn}, author={Graf, Helena}, year={2018} }'
chicago: Graf, Helena. Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
ieee: H. Graf, Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
mla: Graf, Helena. Ranking of Classification Algorithms in AutoML. Universität
Paderborn, 2018.
short: H. Graf, Ranking of Classification Algorithms in AutoML, Universität Paderborn,
2018.
date_created: 2018-11-15T08:06:41Z
date_updated: 2022-01-06T07:02:35Z
department:
- _id: '355'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Ranking of Classification Algorithms in AutoML
type: bachelorsthesis
user_id: '33176'
year: '2018'
...
---
_id: '5936'
author:
- first_name: Manuel
full_name: Scheibl, Manuel
last_name: Scheibl
citation:
ama: Scheibl M. Learning about Learning Curves from Dataset Properties. Universität
Paderborn; 2018.
apa: Scheibl, M. (2018). Learning about learning curves from dataset properties.
Universität Paderborn.
bibtex: '@book{Scheibl_2018, title={Learning about learning curves from dataset
properties}, publisher={Universität Paderborn}, author={Scheibl, Manuel}, year={2018}
}'
chicago: Scheibl, Manuel. Learning about Learning Curves from Dataset Properties.
Universität Paderborn, 2018.
ieee: M. Scheibl, Learning about learning curves from dataset properties.
Universität Paderborn, 2018.
mla: Scheibl, Manuel. Learning about Learning Curves from Dataset Properties.
Universität Paderborn, 2018.
short: M. Scheibl, Learning about Learning Curves from Dataset Properties, Universität
Paderborn, 2018.
date_created: 2018-11-28T10:29:53Z
date_updated: 2022-01-06T07:02:47Z
department:
- _id: '355'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Learning about learning curves from dataset properties
type: bachelorsthesis
user_id: '477'
year: '2018'
...
---
_id: '6423'
author:
- first_name: Dirk
full_name: Schäfer, Dirk
last_name: Schäfer
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Schäfer D, Hüllermeier E. Preference-Based Reinforcement Learning Using Dyad
Ranking. In: Discovery Science. Cham: Springer International Publishing;
2018:161-175. doi:10.1007/978-3-030-01771-2_11'
apa: 'Schäfer, D., & Hüllermeier, E. (2018). Preference-Based Reinforcement
Learning Using Dyad Ranking. In Discovery Science (pp. 161–175). Cham:
Springer International Publishing. https://doi.org/10.1007/978-3-030-01771-2_11'
bibtex: '@inbook{Schäfer_Hüllermeier_2018, place={Cham}, title={Preference-Based
Reinforcement Learning Using Dyad Ranking}, DOI={10.1007/978-3-030-01771-2_11},
booktitle={Discovery Science}, publisher={Springer International Publishing},
author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2018}, pages={161–175} }'
chicago: 'Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” In Discovery Science, 161–75. Cham: Springer International
Publishing, 2018. https://doi.org/10.1007/978-3-030-01771-2_11.'
ieee: 'D. Schäfer and E. Hüllermeier, “Preference-Based Reinforcement Learning Using
Dyad Ranking,” in Discovery Science, Cham: Springer International Publishing,
2018, pp. 161–175.'
mla: Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning
Using Dyad Ranking.” Discovery Science, Springer International Publishing,
2018, pp. 161–75, doi:10.1007/978-3-030-01771-2_11.
short: 'D. Schäfer, E. Hüllermeier, in: Discovery Science, Springer International
Publishing, Cham, 2018, pp. 161–175.'
date_created: 2018-12-20T15:52:03Z
date_updated: 2022-01-06T07:03:04Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.1007/978-3-030-01771-2_11
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2019-01-11T11:03:50Z
date_updated: 2019-01-11T11:03:50Z
file_id: '6623'
file_name: Schäfer-Hüllermeier2018_Chapter_Preference-BasedReinforcementL.pdf
file_size: 458972
relation: main_file
success: 1
file_date_updated: 2019-01-11T11:03:50Z
has_accepted_license: '1'
language:
- iso: eng
page: 161-175
place: Cham
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication: Discovery Science
publication_identifier:
isbn:
- '9783030017705'
- '9783030017712'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: Preference-Based Reinforcement Learning Using Dyad Ranking
type: book_chapter
user_id: '49109'
year: '2018'
...
---
_id: '115'
abstract:
- lang: eng
text: 'Whenever customers have to decide between different instances of the same
product, they are interested in buying the best product. In contrast, companies
are interested in reducing the construction effort (and usually as a consequence
thereof, the quality) to gain profit. The described setting is widely known as
opposed preferences in quality of the product and also applies to the context
of service-oriented computing. In general, service-oriented computing emphasizes
the construction of large software systems out of existing services, where services
are small and self-contained pieces of software that adhere to a specified interface.
Several implementations of the same interface are considered as several instances
of the same service. Thereby, customers are interested in buying the best service
implementation for their service composition wrt. to metrics, such as costs, energy,
memory consumption, or execution time. One way to ensure the service quality is
to employ certificates, which can come in different kinds: Technical certificates
proving correctness can be automatically constructed by the service provider and
again be automatically checked by the user. Digital certificates allow proof of
the integrity of a product. Other certificates might be rolled out if service
providers follow a good software construction principle, which is checked in annual
audits. Whereas all of these certificates are handled differently in service markets,
what they have in common is that they influence the buying decisions of customers.
In this paper, we review state-of-the-art developments in certification with respect
to service-oriented computing. We not only discuss how certificates are constructed
and handled in service-oriented computing but also review the effects of certificates
on the market from an economic perspective.'
author:
- first_name: Marie-Christine
full_name: Jakobs, Marie-Christine
last_name: Jakobs
- first_name: Julia
full_name: Krämer, Julia
last_name: Krämer
- first_name: Dirk
full_name: van Straaten, Dirk
id: '10311'
last_name: van Straaten
- first_name: Theodor
full_name: Lettmann, Theodor
id: '315'
last_name: Lettmann
orcid: 0000-0001-5859-2457
citation:
ama: 'Jakobs M-C, Krämer J, van Straaten D, Lettmann T. Certification Matters for
Service Markets. In: Marcelo De Barros, Janusz Klink,Tadeus Uhl TP, ed. The
Ninth International Conferences on Advanced Service Computing (SERVICE COMPUTATION).
; 2017:7-12.'
apa: Jakobs, M.-C., Krämer, J., van Straaten, D., & Lettmann, T. (2017). Certification
Matters for Service Markets. In T. P. Marcelo De Barros, Janusz Klink,Tadeus Uhl
(Ed.), The Ninth International Conferences on Advanced Service Computing (SERVICE
COMPUTATION) (pp. 7–12).
bibtex: '@inproceedings{Jakobs_Krämer_van Straaten_Lettmann_2017, title={Certification
Matters for Service Markets}, booktitle={The Ninth International Conferences on
Advanced Service Computing (SERVICE COMPUTATION)}, author={Jakobs, Marie-Christine
and Krämer, Julia and van Straaten, Dirk and Lettmann, Theodor}, editor={Marcelo
De Barros, Janusz Klink,Tadeus Uhl, Thomas PrinzEditor}, year={2017}, pages={7–12}
}'
chicago: Jakobs, Marie-Christine, Julia Krämer, Dirk van Straaten, and Theodor Lettmann.
“Certification Matters for Service Markets.” In The Ninth International Conferences
on Advanced Service Computing (SERVICE COMPUTATION), edited by Thomas Prinz
Marcelo De Barros, Janusz Klink,Tadeus Uhl, 7–12, 2017.
ieee: M.-C. Jakobs, J. Krämer, D. van Straaten, and T. Lettmann, “Certification Matters
for Service Markets,” in The Ninth International Conferences on Advanced Service
Computing (SERVICE COMPUTATION), 2017, pp. 7–12.
mla: Jakobs, Marie-Christine, et al. “Certification Matters for Service Markets.”
The Ninth International Conferences on Advanced Service Computing (SERVICE
COMPUTATION), edited by Thomas Prinz Marcelo De Barros, Janusz Klink,Tadeus
Uhl, 2017, pp. 7–12.
short: 'M.-C. Jakobs, J. Krämer, D. van Straaten, T. Lettmann, in: T.P. Marcelo
De Barros, Janusz Klink,Tadeus Uhl (Ed.), The Ninth International Conferences
on Advanced Service Computing (SERVICE COMPUTATION), 2017, pp. 7–12.'
date_created: 2017-10-17T12:41:14Z
date_updated: 2022-01-06T06:51:02Z
ddc:
- '040'
department:
- _id: '77'
- _id: '355'
- _id: '179'
editor:
- first_name: Thomas Prinz
full_name: Marcelo De Barros, Janusz Klink,Tadeus Uhl, Thomas Prinz
last_name: Marcelo De Barros, Janusz Klink,Tadeus Uhl
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T13:04:12Z
date_updated: 2018-03-21T13:04:12Z
file_id: '1564'
file_name: 115-JakobsKraemerVanStraatenLettmann2017.pdf
file_size: 133531
relation: main_file
success: 1
file_date_updated: 2018-03-21T13:04:12Z
has_accepted_license: '1'
language:
- iso: eng
page: 7-12
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '11'
name: SFB 901 - Subproject B3
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '8'
name: SFB 901 - Subproject A4
- _id: '2'
name: SFB 901 - Project Area A
- _id: '3'
name: SFB 901 - Project Area B
publication: The Ninth International Conferences on Advanced Service Computing (SERVICE
COMPUTATION)
status: public
title: Certification Matters for Service Markets
type: conference
user_id: '477'
year: '2017'
...
---
_id: '5694'
author:
- first_name: Nino Noel
full_name: Schnitker, Nino Noel
last_name: Schnitker
citation:
ama: Schnitker NN. Genetischer Algorithmus zur Erstellung von Ensembles von Nested
Dichotomies. Universität Paderborn; 2017.
apa: Schnitker, N. N. (2017). Genetischer Algorithmus zur Erstellung von Ensembles
von Nested Dichotomies. Universität Paderborn.
bibtex: '@book{Schnitker_2017, title={Genetischer Algorithmus zur Erstellung von
Ensembles von Nested Dichotomies}, publisher={Universität Paderborn}, author={Schnitker,
Nino Noel}, year={2017} }'
chicago: Schnitker, Nino Noel. Genetischer Algorithmus zur Erstellung von Ensembles
von Nested Dichotomies. Universität Paderborn, 2017.
ieee: N. N. Schnitker, Genetischer Algorithmus zur Erstellung von Ensembles von
Nested Dichotomies. Universität Paderborn, 2017.
mla: Schnitker, Nino Noel. Genetischer Algorithmus zur Erstellung von Ensembles
von Nested Dichotomies. Universität Paderborn, 2017.
short: N.N. Schnitker, Genetischer Algorithmus zur Erstellung von Ensembles von
Nested Dichotomies, Universität Paderborn, 2017.
date_created: 2018-11-15T08:10:48Z
date_updated: 2022-01-06T07:02:35Z
department:
- _id: '355'
language:
- iso: ger
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Genetischer Algorithmus zur Erstellung von Ensembles von Nested Dichotomies
type: bachelorsthesis
user_id: '477'
year: '2017'
...
---
_id: '5724'
author:
- first_name: Alexander
full_name: Hetzer, Alexander
id: '38209'
last_name: Hetzer
- first_name: Tanja
full_name: Tornede, Tanja
last_name: Tornede
citation:
ama: Hetzer A, Tornede T. Solving the Container Pre-Marshalling Problem Using
Reinforcement Learning and Structured Output Prediction. Universität Paderborn;
2017.
apa: Hetzer, A., & Tornede, T. (2017). Solving the Container Pre-Marshalling
Problem using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn.
bibtex: '@book{Hetzer_Tornede_2017, title={Solving the Container Pre-Marshalling
Problem using Reinforcement Learning and Structured Output Prediction}, publisher={Universität
Paderborn}, author={Hetzer, Alexander and Tornede, Tanja}, year={2017} }'
chicago: Hetzer, Alexander, and Tanja Tornede. Solving the Container Pre-Marshalling
Problem Using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn, 2017.
ieee: A. Hetzer and T. Tornede, Solving the Container Pre-Marshalling Problem
using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn, 2017.
mla: Hetzer, Alexander, and Tanja Tornede. Solving the Container Pre-Marshalling
Problem Using Reinforcement Learning and Structured Output Prediction. Universität
Paderborn, 2017.
short: A. Hetzer, T. Tornede, Solving the Container Pre-Marshalling Problem Using
Reinforcement Learning and Structured Output Prediction, Universität Paderborn,
2017.
date_created: 2018-11-19T07:49:13Z
date_updated: 2022-01-06T07:02:37Z
department:
- _id: '355'
- _id: '199'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Kevin
full_name: Tierney, Kevin
last_name: Tierney
title: Solving the Container Pre-Marshalling Problem using Reinforcement Learning
and Structured Output Prediction
type: mastersthesis
user_id: '477'
year: '2017'
...
---
_id: '71'
abstract:
- lang: eng
text: Today, software verification tools have reached the maturity to be used for
large scale programs. Different tools perform differently well on varying code.
A software developer is hence faced with the problem of choosing a tool appropriate
for her program at hand. A ranking of tools on programs could facilitate the choice.
Such rankings can, however, so far only be obtained by running all considered
tools on the program.In this paper, we present a machine learning approach to
predicting rankings of tools on programs. The method builds upon so-called label
ranking algorithms, which we complement with appropriate kernels providing a similarity
measure for programs. Our kernels employ a graph representation for software source
code that mixes elements of control flow and program dependence graphs with abstract
syntax trees. Using data sets from the software verification competition SV-COMP,
we demonstrate our rank prediction technique to generalize well and achieve a
rather high predictive accuracy (rank correlation > 0.6).
author:
- first_name: Mike
full_name: Czech, Mike
last_name: Czech
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Marie-Christine
full_name: Jakobs, Marie-Christine
last_name: Jakobs
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Czech M, Hüllermeier E, Jakobs M-C, Wehrheim H. Predicting Rankings of Software
Verification Tools. In: Proceedings of the 3rd International Workshop on Software
Analytics. SWAN’17. ; 2017:23-26. doi:10.1145/3121257.3121262'
apa: Czech, M., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (2017). Predicting
Rankings of Software Verification Tools. In Proceedings of the 3rd International
Workshop on Software Analytics (pp. 23–26). https://doi.org/10.1145/3121257.3121262
bibtex: '@inproceedings{Czech_Hüllermeier_Jakobs_Wehrheim_2017, series={SWAN’17},
title={Predicting Rankings of Software Verification Tools}, DOI={10.1145/3121257.3121262},
booktitle={Proceedings of the 3rd International Workshop on Software Analytics},
author={Czech, Mike and Hüllermeier, Eyke and Jakobs, Marie-Christine and Wehrheim,
Heike}, year={2017}, pages={23–26}, collection={SWAN’17} }'
chicago: Czech, Mike, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim.
“Predicting Rankings of Software Verification Tools.” In Proceedings of the
3rd International Workshop on Software Analytics, 23–26. SWAN’17, 2017. https://doi.org/10.1145/3121257.3121262.
ieee: M. Czech, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Predicting Rankings
of Software Verification Tools,” in Proceedings of the 3rd International Workshop
on Software Analytics, 2017, pp. 23–26.
mla: Czech, Mike, et al. “Predicting Rankings of Software Verification Tools.” Proceedings
of the 3rd International Workshop on Software Analytics, 2017, pp. 23–26,
doi:10.1145/3121257.3121262.
short: 'M. Czech, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, in: Proceedings of
the 3rd International Workshop on Software Analytics, 2017, pp. 23–26.'
date_created: 2017-10-17T12:41:05Z
date_updated: 2022-01-06T07:03:28Z
ddc:
- '000'
department:
- _id: '355'
- _id: '77'
doi: 10.1145/3121257.3121262
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T14:24:29Z
date_updated: 2018-11-02T14:24:29Z
file_id: '5271'
file_name: fsews17swan-swanmain1.pdf
file_size: 822383
relation: main_file
success: 1
file_date_updated: 2018-11-02T14:24:29Z
has_accepted_license: '1'
language:
- iso: eng
page: 23-26
project:
- _id: '1'
name: SFB 901
- _id: '12'
name: SFB 901 - Subprojekt B4
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '3'
name: SFB 901 - Project Area B
- _id: '11'
name: SFB 901 - Subproject B3
publication: Proceedings of the 3rd International Workshop on Software Analytics
series_title: SWAN'17
status: public
title: Predicting Rankings of Software Verification Tools
type: conference
user_id: '15504'
year: '2017'
...
---
_id: '1180'
abstract:
- lang: eng
text: These days, there is a strong rise in the needs for machine learning applications,
requiring an automation of machine learning engineering which is referred to as
AutoML. In AutoML the selection, composition and parametrization of machine learning
algorithms is automated and tailored to a specific problem, resulting in a machine
learning pipeline. Current approaches reduce the AutoML problem to optimization
of hyperparameters. Based on recursive task networks, in this paper we present
one approach from the field of automated planning and one evolutionary optimization
approach. Instead of simply parametrizing a given pipeline, this allows for structure
optimization of machine learning pipelines, as well. We evaluate the two approaches
in an extensive evaluation, finding both approaches to have their strengths in
different areas. Moreover, the two approaches outperform the state-of-the-art
tool Auto-WEKA in many settings.
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Wever MD, Mohr F, Hüllermeier E. Automatic Machine Learning: Hierachical Planning
Versus Evolutionary Optimization. In: 27th Workshop Computational Intelligence.
Dortmund; 2017.'
apa: 'Wever, M. D., Mohr, F., & Hüllermeier, E. (2017). Automatic Machine Learning:
Hierachical Planning Versus Evolutionary Optimization. In 27th Workshop Computational
Intelligence. Dortmund.'
bibtex: '@inproceedings{Wever_Mohr_Hüllermeier_2017, place={Dortmund}, title={Automatic
Machine Learning: Hierachical Planning Versus Evolutionary Optimization}, booktitle={27th
Workshop Computational Intelligence}, author={Wever, Marcel Dominik and Mohr,
Felix and Hüllermeier, Eyke}, year={2017} }'
chicago: 'Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “Automatic Machine
Learning: Hierachical Planning Versus Evolutionary Optimization.” In 27th Workshop
Computational Intelligence. Dortmund, 2017.'
ieee: 'M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierachical
Planning Versus Evolutionary Optimization,” in 27th Workshop Computational
Intelligence, Dortmund, 2017.'
mla: 'Wever, Marcel Dominik, et al. “Automatic Machine Learning: Hierachical Planning
Versus Evolutionary Optimization.” 27th Workshop Computational Intelligence,
2017.'
short: 'M.D. Wever, F. Mohr, E. Hüllermeier, in: 27th Workshop Computational Intelligence,
Dortmund, 2017.'
conference:
end_date: 2017-11-24
location: Dortmund
name: 27th Workshop Computational Intelligence
start_date: 2017-11-23
date_created: 2018-02-22T07:19:18Z
date_updated: 2022-01-06T06:51:09Z
ddc:
- '000'
department:
- _id: '355'
file:
- access_level: closed
content_type: application/pdf
creator: wever
date_created: 2018-11-06T15:28:09Z
date_updated: 2018-11-06T15:28:09Z
file_id: '5387'
file_name: CI Workshop AutoML.pdf
file_size: 323589
relation: main_file
success: 1
file_date_updated: 2018-11-06T15:28:09Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://publikationen.bibliothek.kit.edu/1000074341/4643874
oa: '1'
place: Dortmund
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication: 27th Workshop Computational Intelligence
publication_status: published
status: public
title: 'Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization'
type: conference
user_id: '49109'
year: '2017'
...
---
_id: '190'
abstract:
- lang: eng
text: Today, software components are provided by global markets in the form of services.
In order to optimally satisfy service requesters and service providers, adequate
techniques for automatic service matching are needed. However, a requester’s requirements
may be vague and the information available about a provided service may be incomplete.
As a consequence, fuzziness is induced into the matching procedure. The contribution
of this paper is the development of a systematic matching procedure that leverages
concepts and techniques from fuzzy logic and possibility theory based on our formal
distinction between different sources and types of fuzziness in the context of
service matching. In contrast to existing methods, our approach is able to deal
with imprecision and incompleteness in service specifications and to inform users
about the extent of induced fuzziness in order to improve the user’s decision-making.
We demonstrate our approach on the example of specifications for service reputation
based on ratings given by previous users. Our evaluation based on real service
ratings shows the utility and applicability of our approach.
author:
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: Ammar
full_name: Shaker, Ammar
last_name: Shaker
- first_name: Matthias
full_name: Becker, Matthias
last_name: Becker
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Wilhelm
full_name: Schäfer, Wilhelm
last_name: Schäfer
citation:
ama: Platenius MC, Shaker A, Becker M, Hüllermeier E, Schäfer W. Imprecise Matching
of Requirements Specifications for Software Services using Fuzzy Logic. IEEE
Transactions on Software Engineering (TSE), presented at ICSE 2017. 2016;(8):739-759.
doi:10.1109/TSE.2016.2632115
apa: Platenius, M. C., Shaker, A., Becker, M., Hüllermeier, E., & Schäfer, W.
(2016). Imprecise Matching of Requirements Specifications for Software Services
using Fuzzy Logic. IEEE Transactions on Software Engineering (TSE), Presented
at ICSE 2017, (8), 739–759. https://doi.org/10.1109/TSE.2016.2632115
bibtex: '@article{Platenius_Shaker_Becker_Hüllermeier_Schäfer_2016, title={Imprecise
Matching of Requirements Specifications for Software Services using Fuzzy Logic},
DOI={10.1109/TSE.2016.2632115},
number={8}, journal={IEEE Transactions on Software Engineering (TSE), presented
at ICSE 2017}, publisher={IEEE}, author={Platenius, Marie Christin and Shaker,
Ammar and Becker, Matthias and Hüllermeier, Eyke and Schäfer, Wilhelm}, year={2016},
pages={739–759} }'
chicago: 'Platenius, Marie Christin, Ammar Shaker, Matthias Becker, Eyke Hüllermeier,
and Wilhelm Schäfer. “Imprecise Matching of Requirements Specifications for Software
Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering (TSE),
Presented at ICSE 2017, no. 8 (2016): 739–59. https://doi.org/10.1109/TSE.2016.2632115.'
ieee: M. C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, and W. Schäfer, “Imprecise
Matching of Requirements Specifications for Software Services using Fuzzy Logic,”
IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017,
no. 8, pp. 739–759, 2016.
mla: Platenius, Marie Christin, et al. “Imprecise Matching of Requirements Specifications
for Software Services Using Fuzzy Logic.” IEEE Transactions on Software Engineering
(TSE), Presented at ICSE 2017, no. 8, IEEE, 2016, pp. 739–59, doi:10.1109/TSE.2016.2632115.
short: M.C. Platenius, A. Shaker, M. Becker, E. Hüllermeier, W. Schäfer, IEEE Transactions
on Software Engineering (TSE), Presented at ICSE 2017 (2016) 739–759.
date_created: 2017-10-17T12:41:29Z
date_updated: 2022-01-06T06:53:57Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1109/TSE.2016.2632115
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T12:30:31Z
date_updated: 2018-03-21T12:30:31Z
file_id: '1529'
file_name: 190-07755807.pdf
file_size: 5225413
relation: main_file
success: 1
file_date_updated: 2018-03-21T12:30:31Z
has_accepted_license: '1'
issue: '8'
language:
- iso: eng
page: 739-759
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '11'
name: SFB 901 - Subprojekt B3
- _id: '3'
name: SFB 901 - Project Area B
publication: IEEE Transactions on Software Engineering (TSE), presented at ICSE 2017
publisher: IEEE
status: public
title: Imprecise Matching of Requirements Specifications for Software Services using
Fuzzy Logic
type: journal_article
user_id: '15504'
year: '2016'
...
---
_id: '225'
abstract:
- lang: eng
text: Image Processing is fundamental for any camera-based vision system. In order
to automate the prototyping process of image processing solutions to some extend,
we propose a holistic, adaptive approach that comprises concepts for specification,
composition, recommendation, execution, and rating of image processing functionality.
The fundamental idea is to realize image processing applications according to
Service-oriented Computing design principles. That is, distinct image processing
functionality is encapsulated in terms of stateless services. Services are then
used as building blocks for more complex image processing functionality. To automatically
compose complex image processing functionality, our proposed approach incorporates
a flexible, Artificial Intelligence planning-based forward search algorithm. Decision-making
between alternative composition steps is supported by a learning recommendation
system, which keeps track of valid composition steps by automatically constructing
a composition grammar. In addition, it adapts to solutions of high quality by
means of feedback-based Reinforcement Learning techniques. A concrete use case
serves as proof of concept and demonstrates the feasibility of our holistic, adaptive
approach.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Bernd
full_name: Kleinjohann, Bernd
last_name: Kleinjohann
citation:
ama: 'Jungmann A, Kleinjohann B. A Holistic and Adaptive Approach for Automated
Prototyping of Image Processing Functionality. In: Proceedings of the 21st
IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA). ; 2016:1--8. doi:10.1109/ETFA.2016.7733522'
apa: Jungmann, A., & Kleinjohann, B. (2016). A Holistic and Adaptive Approach
for Automated Prototyping of Image Processing Functionality. In Proceedings
of the 21st IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA) (pp. 1--8). https://doi.org/10.1109/ETFA.2016.7733522
bibtex: '@inproceedings{Jungmann_Kleinjohann_2016, title={A Holistic and Adaptive
Approach for Automated Prototyping of Image Processing Functionality}, DOI={10.1109/ETFA.2016.7733522},
booktitle={Proceedings of the 21st IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA)}, author={Jungmann, Alexander and Kleinjohann, Bernd},
year={2016}, pages={1--8} }'
chicago: Jungmann, Alexander, and Bernd Kleinjohann. “A Holistic and Adaptive Approach
for Automated Prototyping of Image Processing Functionality.” In Proceedings
of the 21st IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA), 1--8, 2016. https://doi.org/10.1109/ETFA.2016.7733522.
ieee: A. Jungmann and B. Kleinjohann, “A Holistic and Adaptive Approach for Automated
Prototyping of Image Processing Functionality,” in Proceedings of the 21st
IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA), 2016, pp. 1--8.
mla: Jungmann, Alexander, and Bernd Kleinjohann. “A Holistic and Adaptive Approach
for Automated Prototyping of Image Processing Functionality.” Proceedings of
the 21st IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA), 2016, pp. 1--8, doi:10.1109/ETFA.2016.7733522.
short: 'A. Jungmann, B. Kleinjohann, in: Proceedings of the 21st IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA), 2016, pp. 1--8.'
date_created: 2017-10-17T12:41:35Z
date_updated: 2022-01-06T06:55:34Z
ddc:
- '040'
doi: 10.1109/ETFA.2016.7733522
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T10:34:35Z
date_updated: 2018-03-21T10:34:35Z
file_id: '1508'
file_name: 225-07733522.pdf
file_size: 1323587
relation: main_file
success: 1
file_date_updated: 2018-03-21T10:34:35Z
has_accepted_license: '1'
page: 1--8
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 21st IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA)
status: public
title: A Holistic and Adaptive Approach for Automated Prototyping of Image Processing
Functionality
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '218'
abstract:
- lang: eng
text: In the Image Processing domain, automated generation of complex Image Processing
functionality is highly desirable; e.g., for rapid prototyping. Service composition
techniques, in turn, facilitate automated generation of complex functionality
based on building blocks in terms of services. For that reason, we aim for transferring
the Service Composition paradigm into the Image Processing domain. In this paper,
we present our symbolic composition approach that enables us to automatically
generate Image Processing applications. Functionality of Image Processing services
is described by means of a variant of first-order logic, which grounds on domain
knowledge operationalized in terms of ontologies. A Petri-net formalism serves
as basis for modeling data-flow of services and composed services. A planning-based
composition algorithm automatically composes complex data-flow for a required
functionality. A brief evaluation serves as proof of concept.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Bernd
full_name: Kleinjohann, Bernd
last_name: Kleinjohann
citation:
ama: 'Jungmann A, Kleinjohann B. Automatic Composition of Service-based Image Processing
Applications. In: Proceedings of the 13th IEEE International Conference on
Services Computing (SCC). ; 2016:106--113. doi:10.1109/SCC.2016.21'
apa: Jungmann, A., & Kleinjohann, B. (2016). Automatic Composition of Service-based
Image Processing Applications. In Proceedings of the 13th IEEE International
Conference on Services Computing (SCC) (pp. 106--113). https://doi.org/10.1109/SCC.2016.21
bibtex: '@inproceedings{Jungmann_Kleinjohann_2016, title={Automatic Composition
of Service-based Image Processing Applications}, DOI={10.1109/SCC.2016.21},
booktitle={Proceedings of the 13th IEEE International Conference on Services Computing
(SCC)}, author={Jungmann, Alexander and Kleinjohann, Bernd}, year={2016}, pages={106--113}
}'
chicago: Jungmann, Alexander, and Bernd Kleinjohann. “Automatic Composition of Service-Based
Image Processing Applications.” In Proceedings of the 13th IEEE International
Conference on Services Computing (SCC), 106--113, 2016. https://doi.org/10.1109/SCC.2016.21.
ieee: A. Jungmann and B. Kleinjohann, “Automatic Composition of Service-based Image
Processing Applications,” in Proceedings of the 13th IEEE International Conference
on Services Computing (SCC), 2016, pp. 106--113.
mla: Jungmann, Alexander, and Bernd Kleinjohann. “Automatic Composition of Service-Based
Image Processing Applications.” Proceedings of the 13th IEEE International
Conference on Services Computing (SCC), 2016, pp. 106--113, doi:10.1109/SCC.2016.21.
short: 'A. Jungmann, B. Kleinjohann, in: Proceedings of the 13th IEEE International
Conference on Services Computing (SCC), 2016, pp. 106--113.'
date_created: 2017-10-17T12:41:34Z
date_updated: 2022-01-06T06:55:14Z
ddc:
- '040'
doi: 10.1109/SCC.2016.21
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T10:38:44Z
date_updated: 2018-03-21T10:38:44Z
file_id: '1515'
file_name: 218-07557442.pdf
file_size: 836658
relation: main_file
success: 1
file_date_updated: 2018-03-21T10:38:44Z
has_accepted_license: '1'
page: 106--113
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 13th IEEE International Conference on Services Computing
(SCC)
status: public
title: Automatic Composition of Service-based Image Processing Applications
type: conference
user_id: '15504'
year: '2016'
...
---
_id: '140'
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
citation:
ama: Jungmann A. Towards On-The-Fly Image Processing. Universität Paderborn;
2016.
apa: Jungmann, A. (2016). Towards On-The-Fly Image Processing. Universität
Paderborn.
bibtex: '@book{Jungmann_2016, title={Towards On-The-Fly Image Processing}, publisher={Universität
Paderborn}, author={Jungmann, Alexander}, year={2016} }'
chicago: Jungmann, Alexander. Towards On-The-Fly Image Processing. Universität
Paderborn, 2016.
ieee: A. Jungmann, Towards On-The-Fly Image Processing. Universität Paderborn,
2016.
mla: Jungmann, Alexander. Towards On-The-Fly Image Processing. Universität
Paderborn, 2016.
short: A. Jungmann, Towards On-The-Fly Image Processing, Universität Paderborn,
2016.
date_created: 2017-10-17T12:41:18Z
date_updated: 2022-01-06T06:51:49Z
ddc:
- '040'
department:
- _id: '70'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T13:00:24Z
date_updated: 2018-03-21T13:00:24Z
file_id: '1559'
file_name: 140-Dissertation-Alexander_Jungmann.pdf
file_size: 8006614
relation: main_file
success: 1
file_date_updated: 2018-03-21T13:00:24Z
has_accepted_license: '1'
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Franz
full_name: Rammig, Franz
last_name: Rammig
title: Towards On-The-Fly Image Processing
type: dissertation
user_id: '477'
year: '2016'
...
---
_id: '141'
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: Mohr F. Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn; 2016. doi:10.17619/UNIPB/1-171
apa: Mohr, F. (2016). Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn. https://doi.org/10.17619/UNIPB/1-171
bibtex: '@book{Mohr_2016, title={Towards Automated Service Composition Under Quality
Constraints}, DOI={10.17619/UNIPB/1-171},
publisher={Universität Paderborn}, author={Mohr, Felix}, year={2016} }'
chicago: Mohr, Felix. Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn, 2016. https://doi.org/10.17619/UNIPB/1-171.
ieee: F. Mohr, Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn, 2016.
mla: Mohr, Felix. Towards Automated Service Composition Under Quality Constraints.
Universität Paderborn, 2016, doi:10.17619/UNIPB/1-171.
short: F. Mohr, Towards Automated Service Composition Under Quality Constraints,
Universität Paderborn, 2016.
date_created: 2017-10-17T12:41:19Z
date_updated: 2022-01-06T06:51:55Z
department:
- _id: '355'
doi: 10.17619/UNIPB/1-171
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
title: Towards Automated Service Composition Under Quality Constraints
type: dissertation
user_id: '477'
year: '2016'
...
---
_id: '280'
abstract:
- lang: eng
text: The Collaborative Research Centre "On-The-Fly Computing" works on foundations
and principles for the vision of the Future Internet. It proposes the paradigm
of On-The-Fly Computing, which tackles emerging worldwide service markets. In
these markets, service providers trade software, platform, and infrastructure
as a service. Service requesters state requirements on services. To satisfy these
requirements, the new role of brokers, who are (human) actors building service
compositions on the fly, is introduced. Brokers have to specify service compositions
formally and comprehensively using a domain-specific language (DSL), and to use
service matching for the discovery of the constituent services available in the
market. The broker's choice of the DSL and matching approaches influences her
success of building compositions as distinctive properties of different service
markets play a significant role. In this paper, we propose a new approach of engineering
a situation-specific DSL by customizing a comprehensive, modular DSL and its matching
for given service market properties. This enables the broker to create market-specific
composition specifications and to perform market-specific service matching. As
a result, the broker builds service compositions satisfying the requester's requirements
more accurately. We evaluated the presented concepts using case studies in service
markets for tourism and university management.
author:
- first_name: Svetlana
full_name: Arifulina, Svetlana
last_name: Arifulina
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Wilhelm
full_name: Schäfer, Wilhelm
last_name: Schäfer
citation:
ama: 'Arifulina S, Platenius MC, Mohr F, Engels G, Schäfer W. Market-Specific Service
Compositions: Specification and Matching. In: Proceedings of the IEEE 11th
World Congress on Services (SERVICES), Visionary Track: Service Composition for
the Future Internet. ; 2015:333--340. doi:10.1109/SERVICES.2015.58'
apa: 'Arifulina, S., Platenius, M. C., Mohr, F., Engels, G., & Schäfer, W. (2015).
Market-Specific Service Compositions: Specification and Matching. In Proceedings
of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service
Composition for the Future Internet (pp. 333--340). https://doi.org/10.1109/SERVICES.2015.58'
bibtex: '@inproceedings{Arifulina_Platenius_Mohr_Engels_Schäfer_2015, title={Market-Specific
Service Compositions: Specification and Matching}, DOI={10.1109/SERVICES.2015.58},
booktitle={Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet}, author={Arifulina,
Svetlana and Platenius, Marie Christin and Mohr, Felix and Engels, Gregor and
Schäfer, Wilhelm}, year={2015}, pages={333--340} }'
chicago: 'Arifulina, Svetlana, Marie Christin Platenius, Felix Mohr, Gregor Engels,
and Wilhelm Schäfer. “Market-Specific Service Compositions: Specification and
Matching.” In Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet, 333--340, 2015.
https://doi.org/10.1109/SERVICES.2015.58.'
ieee: 'S. Arifulina, M. C. Platenius, F. Mohr, G. Engels, and W. Schäfer, “Market-Specific
Service Compositions: Specification and Matching,” in Proceedings of the IEEE
11th World Congress on Services (SERVICES), Visionary Track: Service Composition
for the Future Internet, 2015, pp. 333--340.'
mla: 'Arifulina, Svetlana, et al. “Market-Specific Service Compositions: Specification
and Matching.” Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet, 2015, pp. 333--340,
doi:10.1109/SERVICES.2015.58.'
short: 'S. Arifulina, M.C. Platenius, F. Mohr, G. Engels, W. Schäfer, in: Proceedings
of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service
Composition for the Future Internet, 2015, pp. 333--340.'
date_created: 2017-10-17T12:41:46Z
date_updated: 2022-01-06T06:57:49Z
ddc:
- '040'
department:
- _id: '66'
- _id: '76'
- _id: '355'
doi: 10.1109/SERVICES.2015.58
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T09:26:04Z
date_updated: 2018-03-21T09:26:04Z
file_id: '1470'
file_name: 280-07196546.pdf
file_size: 234260
relation: main_file
success: 1
file_date_updated: 2018-03-21T09:26:04Z
has_accepted_license: '1'
language:
- iso: eng
page: 333--340
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '3'
name: SFB 901 - Project Area B
publication: 'Proceedings of the IEEE 11th World Congress on Services (SERVICES),
Visionary Track: Service Composition for the Future Internet'
status: public
title: 'Market-Specific Service Compositions: Specification and Matching'
type: conference
user_id: '477'
year: '2015'
...
---
_id: '245'
abstract:
- lang: eng
text: In cloud computing, software architects develop systems for virtually unlimited
resources that cloud providers account on a pay-per-use basis. Elasticity management
systems provision these resources autonomously to deal with changing workload.
Such changing workloads call for new objective metrics allowing architects to
quantify quality properties like scalability, elasticity, and efficiency, e.g.,
for requirements/SLO engineering and software design analysis. In literature,
initial metrics for these properties have been proposed. However, current metrics
lack a systematic derivation and assume knowledge of implementation details like
resource handling. Therefore, these metrics are inapplicable where such knowledge
is unavailable.To cope with these lacks, this short paper derives metrics for
scalability, elasticity, and efficiency properties of cloud computing systems
using the goal question metric (GQM) method. Our derivation uses a running example
that outlines characteristics of cloud computing systems. Eventually, this example
allows us to set up a systematic GQM plan and to derive an initial set of six
new metrics. We particularly show that our GQM plan allows to classify existing
metrics.
author:
- first_name: Matthias
full_name: Becker, Matthias
last_name: Becker
- first_name: Sebastian
full_name: Lehrig, Sebastian
last_name: Lehrig
- first_name: Steffen
full_name: Becker, Steffen
last_name: Becker
citation:
ama: 'Becker M, Lehrig S, Becker S. Systematically Deriving Quality Metrics for
Cloud Computing Systems. In: Proceedings of the 6th ACM/SPEC International
Conference on Performance Engineering. ICPE ’15. New York, NY, USA; 2015:169--174.
doi:10.1145/2668930.2688043'
apa: Becker, M., Lehrig, S., & Becker, S. (2015). Systematically Deriving Quality
Metrics for Cloud Computing Systems. In Proceedings of the 6th ACM/SPEC International
Conference on Performance Engineering (pp. 169--174). New York, NY, USA. https://doi.org/10.1145/2668930.2688043
bibtex: '@inproceedings{Becker_Lehrig_Becker_2015, place={New York, NY, USA}, series={ICPE
’15}, title={Systematically Deriving Quality Metrics for Cloud Computing Systems},
DOI={10.1145/2668930.2688043},
booktitle={Proceedings of the 6th ACM/SPEC International Conference on Performance
Engineering}, author={Becker, Matthias and Lehrig, Sebastian and Becker, Steffen},
year={2015}, pages={169--174}, collection={ICPE ’15} }'
chicago: Becker, Matthias, Sebastian Lehrig, and Steffen Becker. “Systematically
Deriving Quality Metrics for Cloud Computing Systems.” In Proceedings of the
6th ACM/SPEC International Conference on Performance Engineering, 169--174.
ICPE ’15. New York, NY, USA, 2015. https://doi.org/10.1145/2668930.2688043.
ieee: M. Becker, S. Lehrig, and S. Becker, “Systematically Deriving Quality Metrics
for Cloud Computing Systems,” in Proceedings of the 6th ACM/SPEC International
Conference on Performance Engineering, 2015, pp. 169--174.
mla: Becker, Matthias, et al. “Systematically Deriving Quality Metrics for Cloud
Computing Systems.” Proceedings of the 6th ACM/SPEC International Conference
on Performance Engineering, 2015, pp. 169--174, doi:10.1145/2668930.2688043.
short: 'M. Becker, S. Lehrig, S. Becker, in: Proceedings of the 6th ACM/SPEC International
Conference on Performance Engineering, New York, NY, USA, 2015, pp. 169--174.'
date_created: 2017-10-17T12:41:39Z
date_updated: 2022-01-06T06:56:26Z
ddc:
- '040'
doi: 10.1145/2668930.2688043
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-21T09:47:47Z
date_updated: 2018-03-21T09:47:47Z
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file_name: 245-paper_02.pdf
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file_date_updated: 2018-03-21T09:47:47Z
has_accepted_license: '1'
language:
- iso: eng
page: 169--174
place: New York, NY, USA
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 6th ACM/SPEC International Conference on Performance
Engineering
series_title: ICPE '15
status: public
title: Systematically Deriving Quality Metrics for Cloud Computing Systems
type: conference
user_id: '477'
year: '2015'
...
---
_id: '323'
abstract:
- lang: eng
text: On-the-fly composition of service-based software solutions is still a challenging
task. Even more challenges emerge when facing automatic service composition in
markets of composed services for end users. In this paper, we focus on the functional
discrepancy between “what a user wants” specified in terms of a request and “what
a user gets” when executing a composed service. To meet the challenge of functional
discrepancy, we propose the combination of existing symbolic composition approaches
with machine learning techniques. We developed a learning recommendation system
that expands the capabilities of existing composition algorithms to facilitate
adaptivity and consequently reduces functional discrepancy. As a representative
of symbolic techniques, an Artificial Intelligence planning based approach produces
solutions that are correct with respect to formal specifications. Our learning
recommendation system supports the symbolic approach in decision-making. Reinforcement
Learning techniques enable the recommendation system to adjust its recommendation
strategy over time based on user ratings. We implemented the proposed functionality
in terms of a prototypical composition framework. Preliminary results from experiments
conducted in the image processing domain illustrate the benefit of combining both
complementary techniques.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: Jungmann A, Mohr F. An approach towards adaptive service composition in markets
of composed services. Journal of Internet Services and Applications. 2015;(1):1-18.
doi:10.1186/s13174-015-0022-8
apa: Jungmann, A., & Mohr, F. (2015). An approach towards adaptive service composition
in markets of composed services. Journal of Internet Services and Applications,
(1), 1–18. https://doi.org/10.1186/s13174-015-0022-8
bibtex: '@article{Jungmann_Mohr_2015, title={An approach towards adaptive service
composition in markets of composed services}, DOI={10.1186/s13174-015-0022-8},
number={1}, journal={Journal of Internet Services and Applications}, publisher={Springer},
author={Jungmann, Alexander and Mohr, Felix}, year={2015}, pages={1–18} }'
chicago: 'Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1 (2015): 1–18. https://doi.org/10.1186/s13174-015-0022-8.'
ieee: A. Jungmann and F. Mohr, “An approach towards adaptive service composition
in markets of composed services,” Journal of Internet Services and Applications,
no. 1, pp. 1–18, 2015.
mla: Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service
Composition in Markets of Composed Services.” Journal of Internet Services
and Applications, no. 1, Springer, 2015, pp. 1–18, doi:10.1186/s13174-015-0022-8.
short: A. Jungmann, F. Mohr, Journal of Internet Services and Applications (2015)
1–18.
date_created: 2017-10-17T12:41:55Z
date_updated: 2022-01-06T06:59:06Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1186/s13174-015-0022-8
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:39:17Z
date_updated: 2018-03-20T07:39:17Z
file_id: '1429'
file_name: 323-An_approach_towards_adaptive_service_composition_in_markets_of_composed_services.pdf
file_size: 2842281
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:39:17Z
has_accepted_license: '1'
issue: '1'
language:
- iso: eng
page: 1-18
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Journal of Internet Services and Applications
publisher: Springer
status: public
title: An approach towards adaptive service composition in markets of composed services
type: journal_article
user_id: '477'
year: '2015'
...
---
_id: '324'
abstract:
- lang: eng
text: Services are self-contained software components that can beused platform independent
and that aim at maximizing software reuse. Abasic concern in service oriented
architectures is to measure the reusabilityof services. One of the most important
qualities is the functionalreusability, which indicates how relevant the task
is that a service solves.Current metrics for functional reusability of software,
however, have verylittle explanatory power and do not accomplish this goal.This
paper presents a new approach to estimate the functional reusabilityof services
based on their relevance. To this end, it denes the degreeto which a service enables
the execution of other services as its contri-bution. Based on the contribution,
relevance of services is dened as anestimation for their functional reusability.
Explanatory power is obtainedby normalizing relevance values with a reference
service. The applicationof the metric to a service test set conrms its supposed
capabilities.
author:
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
citation:
ama: 'Mohr F. A Metric for Functional Reusability of Services. In: Proceedings
of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2015:298--313.
doi:10.1007/978-3-319-14130-5_21'
apa: Mohr, F. (2015). A Metric for Functional Reusability of Services. In Proceedings
of the 14th International Conference on Software Reuse (ICSR) (pp. 298--313).
https://doi.org/10.1007/978-3-319-14130-5_21
bibtex: '@inproceedings{Mohr_2015, series={LNCS}, title={A Metric for Functional
Reusability of Services}, DOI={10.1007/978-3-319-14130-5_21},
booktitle={Proceedings of the 14th International Conference on Software Reuse
(ICSR)}, author={Mohr, Felix}, year={2015}, pages={298--313}, collection={LNCS}
}'
chicago: Mohr, Felix. “A Metric for Functional Reusability of Services.” In Proceedings
of the 14th International Conference on Software Reuse (ICSR), 298--313. LNCS,
2015. https://doi.org/10.1007/978-3-319-14130-5_21.
ieee: F. Mohr, “A Metric for Functional Reusability of Services,” in Proceedings
of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313.
mla: Mohr, Felix. “A Metric for Functional Reusability of Services.” Proceedings
of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313,
doi:10.1007/978-3-319-14130-5_21.
short: 'F. Mohr, in: Proceedings of the 14th International Conference on Software
Reuse (ICSR), 2015, pp. 298--313.'
date_created: 2017-10-17T12:41:55Z
date_updated: 2022-01-06T06:59:07Z
ddc:
- '040'
department:
- _id: '355'
doi: 10.1007/978-3-319-14130-5_21
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:38:44Z
date_updated: 2018-03-20T07:38:44Z
file_id: '1428'
file_name: 324-ICSR-Mohr-15.pdf
file_size: 569475
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:38:44Z
has_accepted_license: '1'
language:
- iso: eng
page: 298--313
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 14th International Conference on Software Reuse (ICSR)
series_title: LNCS
status: public
title: A Metric for Functional Reusability of Services
type: conference
user_id: '477'
year: '2015'
...
---
_id: '3343'
abstract:
- lang: eng
text: In this paper we consider an extended variant of query learning where the
hidden concept is embedded in some Boolean circuit. This additional processing
layer modifies query arguments and answers by fixed transformation functions which
are known to the learner. For this scenario, we provide a characterization of
the solution space and an ordering on it. We give a compact representation of
the minimal and maximal solutions as quantified Boolean formulas and we adapt
the original algorithms for exact learning of specific classes of propositional
formulas.
author:
- first_name: Uwe
full_name: Bubeck, Uwe
last_name: Bubeck
- first_name: Hans
full_name: Kleine Büning, Hans
last_name: Kleine Büning
citation:
ama: Bubeck U, Kleine Büning H. Learning Boolean Specifications. Artificial Intelligence.
2015:246-257. doi:10.1016/j.artint.2015.09.003
apa: Bubeck, U., & Kleine Büning, H. (2015). Learning Boolean Specifications.
Artificial Intelligence, 246–257. https://doi.org/10.1016/j.artint.2015.09.003
bibtex: '@article{Bubeck_Kleine Büning_2015, title={Learning Boolean Specifications},
DOI={10.1016/j.artint.2015.09.003},
journal={Artificial Intelligence}, publisher={Elsevier}, author={Bubeck, Uwe and
Kleine Büning, Hans}, year={2015}, pages={246–257} }'
chicago: Bubeck, Uwe, and Hans Kleine Büning. “Learning Boolean Specifications.”
Artificial Intelligence, 2015, 246–57. https://doi.org/10.1016/j.artint.2015.09.003.
ieee: U. Bubeck and H. Kleine Büning, “Learning Boolean Specifications,” Artificial
Intelligence, pp. 246–257, 2015.
mla: Bubeck, Uwe, and Hans Kleine Büning. “Learning Boolean Specifications.” Artificial
Intelligence, Elsevier, 2015, pp. 246–57, doi:10.1016/j.artint.2015.09.003.
short: U. Bubeck, H. Kleine Büning, Artificial Intelligence (2015) 246–257.
date_created: 2018-06-25T10:43:19Z
date_updated: 2022-01-06T06:59:10Z
ddc:
- '000'
department:
- _id: '34'
doi: 10.1016/j.artint.2015.09.003
keyword:
- Query learning
- Propositional logic
language:
- iso: eng
page: 246 - 257
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication: Artificial Intelligence
publication_identifier:
issn:
- 0004-3702
publisher: Elsevier
status: public
title: Learning Boolean Specifications
type: journal_article
user_id: '315'
year: '2015'
...
---
_id: '315'
abstract:
- lang: eng
text: In this paper, we introduce an approach for combining embedded systems with
Service-oriented Computing techniques based on a concrete application scenario
from the robotics domain. Our proposed Service-oriented Architecture allows for
incorporating computational expensive functionality as services into a distributed
computing environment. Furthermore, our framework facilitates a seamless integration
of embedded systems such as robots as service providers into the computing environment.
The entire communication is based on so-called recipes, which can be interpreted
as autonomous messages that contain all necessary information for executing compositions
of services.
author:
- first_name: Alexander
full_name: Jungmann, Alexander
last_name: Jungmann
- first_name: Jan
full_name: Jatzkowski, Jan
last_name: Jatzkowski
- first_name: Bernd
full_name: Kleinjohann, Bernd
last_name: Kleinjohann
citation:
ama: 'Jungmann A, Jatzkowski J, Kleinjohann B. Combining Service-oriented Computing
with Embedded Systems - A Robotics Case Study. In: Proceedings of the 5th IFIP
International Embedded Systems Symposium. ; 2015.'
apa: Jungmann, A., Jatzkowski, J., & Kleinjohann, B. (2015). Combining Service-oriented
Computing with Embedded Systems - A Robotics Case Study. In Proceedings of
the 5th IFIP International Embedded Systems Symposium.
bibtex: '@inproceedings{Jungmann_Jatzkowski_Kleinjohann_2015, title={Combining Service-oriented
Computing with Embedded Systems - A Robotics Case Study}, booktitle={Proceedings
of the 5th IFIP International Embedded Systems Symposium}, author={Jungmann, Alexander
and Jatzkowski, Jan and Kleinjohann, Bernd}, year={2015} }'
chicago: Jungmann, Alexander, Jan Jatzkowski, and Bernd Kleinjohann. “Combining
Service-Oriented Computing with Embedded Systems - A Robotics Case Study.” In
Proceedings of the 5th IFIP International Embedded Systems Symposium, 2015.
ieee: A. Jungmann, J. Jatzkowski, and B. Kleinjohann, “Combining Service-oriented
Computing with Embedded Systems - A Robotics Case Study,” in Proceedings of
the 5th IFIP International Embedded Systems Symposium, 2015.
mla: Jungmann, Alexander, et al. “Combining Service-Oriented Computing with Embedded
Systems - A Robotics Case Study.” Proceedings of the 5th IFIP International
Embedded Systems Symposium, 2015.
short: 'A. Jungmann, J. Jatzkowski, B. Kleinjohann, in: Proceedings of the 5th IFIP
International Embedded Systems Symposium, 2015.'
date_created: 2017-10-17T12:41:53Z
date_updated: 2022-01-06T06:58:58Z
ddc:
- '040'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2018-03-20T07:43:26Z
date_updated: 2018-03-20T07:43:26Z
file_id: '1436'
file_name: 315-JungmannJatzkowskiKleinjohann.pdf
file_size: 1482481
relation: main_file
success: 1
file_date_updated: 2018-03-20T07:43:26Z
has_accepted_license: '1'
project:
- _id: '1'
name: SFB 901
- _id: '10'
name: SFB 901 - Subprojekt B2
- _id: '3'
name: SFB 901 - Project Area B
publication: Proceedings of the 5th IFIP International Embedded Systems Symposium
status: public
title: Combining Service-oriented Computing with Embedded Systems - A Robotics Case
Study
type: conference
user_id: '15504'
year: '2015'
...