---
_id: '97'
abstract:
- lang: eng
text: Bridging the gap between informal, imprecise, and vague user requirements
descriptions and precise formalized specifications is the main task of requirements
engineering. Techniques such as interviews or story telling are used when requirements
engineers try to identify a user's needs. The requirements specification process
is typically done in a dialogue between users, domain experts, and requirements
engineers. In our research, we aim at automating the specification of requirements.
The idea is to distinguish between untrained users and trained users, and to exploit
domain knowledge learned from previous runs of our system. We let untrained users
provide unstructured natural language descriptions, while we allow trained users
to provide examples of behavioral descriptions. In both cases, our goal is to
synthesize formal requirements models similar to statecharts. From requirements
specification processes with trained users, behavioral ontologies are learned
which are later used to support the requirements specification process for untrained
users. Our research method is original in combining natural language processing
and search-based techniques for the synthesis of requirements specifications.
Our work is embedded in a larger project that aims at automating the whole software
development and deployment process in envisioned future software service markets.
author:
- first_name: Lorijn
full_name: van Rooijen, Lorijn
id: '58843'
last_name: van Rooijen
- first_name: Frederik Simon
full_name: Bäumer, Frederik Simon
id: '38837'
last_name: Bäumer
- first_name: Marie Christin
full_name: Platenius, Marie Christin
last_name: Platenius
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Heiko
full_name: Hamann, Heiko
last_name: Hamann
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'van Rooijen L, Bäumer FS, Platenius MC, Geierhos M, Hamann H, Engels G. From
User Demand to Software Service: Using Machine Learning to Automate the Requirements
Specification Process. In: 2017 IEEE 25th International Requirements Engineering
Conference Workshops (REW). Piscataway, NJ, USA: IEEE; 2017:379-385. doi:10.1109/REW.2017.26'
apa: 'van Rooijen, L., Bäumer, F. S., Platenius, M. C., Geierhos, M., Hamann, H.,
& Engels, G. (2017). From User Demand to Software Service: Using Machine Learning
to Automate the Requirements Specification Process. In 2017 IEEE 25th International
Requirements Engineering Conference Workshops (REW) (pp. 379–385). Piscataway,
NJ, USA: IEEE. https://doi.org/10.1109/REW.2017.26'
bibtex: '@inproceedings{van Rooijen_Bäumer_Platenius_Geierhos_Hamann_Engels_2017,
place={Piscataway, NJ, USA}, title={From User Demand to Software Service: Using
Machine Learning to Automate the Requirements Specification Process}, DOI={10.1109/REW.2017.26}, booktitle={2017
IEEE 25th International Requirements Engineering Conference Workshops (REW)},
publisher={IEEE}, author={van Rooijen, Lorijn and Bäumer, Frederik Simon and Platenius,
Marie Christin and Geierhos, Michaela and Hamann, Heiko and Engels, Gregor}, year={2017},
pages={379–385} }'
chicago: 'Rooijen, Lorijn van, Frederik Simon Bäumer, Marie Christin Platenius,
Michaela Geierhos, Heiko Hamann, and Gregor Engels. “From User Demand to Software
Service: Using Machine Learning to Automate the Requirements Specification Process.”
In 2017 IEEE 25th International Requirements Engineering Conference Workshops
(REW), 379–85. Piscataway, NJ, USA: IEEE, 2017. https://doi.org/10.1109/REW.2017.26.'
ieee: 'L. van Rooijen, F. S. Bäumer, M. C. Platenius, M. Geierhos, H. Hamann, and
G. Engels, “From User Demand to Software Service: Using Machine Learning to Automate
the Requirements Specification Process,” in 2017 IEEE 25th International Requirements
Engineering Conference Workshops (REW), Lisbon, Portugal, 2017, pp. 379–385.'
mla: 'van Rooijen, Lorijn, et al. “From User Demand to Software Service: Using Machine
Learning to Automate the Requirements Specification Process.” 2017 IEEE 25th
International Requirements Engineering Conference Workshops (REW), IEEE, 2017,
pp. 379–85, doi:10.1109/REW.2017.26.'
short: 'L. van Rooijen, F.S. Bäumer, M.C. Platenius, M. Geierhos, H. Hamann, G.
Engels, in: 2017 IEEE 25th International Requirements Engineering Conference Workshops
(REW), IEEE, Piscataway, NJ, USA, 2017, pp. 379–385.'
conference:
end_date: 2017-09-08
location: Lisbon, Portugal
name: 2017 IEEE 25th International Requirements Engineering Conference Workshops
(REW)
start_date: 2017-09-04
date_created: 2017-10-17T12:41:10Z
date_updated: 2022-01-06T07:04:18Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
- _id: '34'
- _id: '7'
- _id: '66'
- _id: '238'
- _id: '63'
doi: 10.1109/REW.2017.26
file:
- access_level: closed
content_type: application/pdf
creator: ups
date_created: 2018-11-02T14:50:35Z
date_updated: 2018-11-02T14:50:35Z
file_id: '5285'
file_name: 08054881.pdf
file_size: 433613
relation: main_file
success: 1
file_date_updated: 2018-11-02T14:50:35Z
has_accepted_license: '1'
keyword:
- Software
- Unified modeling language
- Requirements engineering
- Ontologies
- Search problems
- Natural languages
language:
- iso: eng
page: 379-385
place: Piscataway, NJ, USA
project:
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subprojekt B1
- _id: '3'
name: SFB 901 - Project Area B
publication: 2017 IEEE 25th International Requirements Engineering Conference Workshops
(REW)
publication_identifier:
eisbn:
- '978-1-5386-3488-2 '
isbn:
- 978-1-5386-3489-9
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: 'From User Demand to Software Service: Using Machine Learning to Automate the
Requirements Specification Process'
type: conference
user_id: '57458'
year: '2017'
...
---
_id: '36994'
abstract:
- lang: eng
text: This paper proposes a quality driven, simulation based approach to functional
design verification, which applies mainly to IP-level HDL designs with well specified
test instruction format and is evaluated on a soft microprocessor core MB-LITE
[5]. The approach utilizes mutation analysis as the quality metric to steer an
automated simulation data generation process. It leads to a simulation flow with
two phases towards an enhanced mutation analysis result. First in a random simulation
phase, an in-loop heuristics is deployed and adjusts dynamically the test probability
distribution so as to improve the coverage efficiency. Next, for each remaining
hard-to-kill mutant, a search heuristics on test input space is developed to iteratively
locate a target test, using a specific objective cost function for the goal of
killing HDL mutant. The effectiveness of this integrated two-phase simulation
flow is demonstrated by the results with the MB-LITE microprocessor IP.
author:
- first_name: 'Tao '
full_name: 'Xie, Tao '
last_name: Xie
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Florian
full_name: Letombe, Florian
last_name: Letombe
citation:
ama: 'Xie T, Müller W, Letombe F. Mutation-Analysis Driven Functional Verification
of a Soft Microprocessor. In: Proceedings of SOCC2012. IEEE; 2012. doi:10.1109/SOCC.2012.6398362'
apa: Xie, T., Müller, W., & Letombe, F. (2012). Mutation-Analysis Driven Functional
Verification of a Soft Microprocessor. Proceedings of SOCC2012. https://doi.org/10.1109/SOCC.2012.6398362
bibtex: '@inproceedings{Xie_Müller_Letombe_2012, place={ Niagara Falls, NY, USA
}, title={Mutation-Analysis Driven Functional Verification of a Soft Microprocessor},
DOI={10.1109/SOCC.2012.6398362},
booktitle={Proceedings of SOCC2012}, publisher={IEEE}, author={Xie, Tao and Müller,
Wolfgang and Letombe, Florian}, year={2012} }'
chicago: 'Xie, Tao , Wolfgang Müller, and Florian Letombe. “Mutation-Analysis Driven
Functional Verification of a Soft Microprocessor.” In Proceedings of SOCC2012. Niagara
Falls, NY, USA : IEEE, 2012. https://doi.org/10.1109/SOCC.2012.6398362.'
ieee: 'T. Xie, W. Müller, and F. Letombe, “Mutation-Analysis Driven Functional Verification
of a Soft Microprocessor,” 2012, doi: 10.1109/SOCC.2012.6398362.'
mla: Xie, Tao, et al. “Mutation-Analysis Driven Functional Verification of a Soft
Microprocessor.” Proceedings of SOCC2012, IEEE, 2012, doi:10.1109/SOCC.2012.6398362.
short: 'T. Xie, W. Müller, F. Letombe, in: Proceedings of SOCC2012, IEEE, Niagara
Falls, NY, USA , 2012.'
date_created: 2023-01-17T08:46:14Z
date_updated: 2023-01-17T08:46:29Z
department:
- _id: '672'
doi: 10.1109/SOCC.2012.6398362
keyword:
- Analytical models
- Hardware design languages
- Microprocessors
- Cost function
- Data models
- Search problems
- IP networks
language:
- iso: eng
place: ' Niagara Falls, NY, USA '
publication: Proceedings of SOCC2012
publication_identifier:
eisbn:
- 978-1-4673-1295-0
publisher: IEEE
status: public
title: Mutation-Analysis Driven Functional Verification of a Soft Microprocessor
type: conference
user_id: '5786'
year: '2012'
...