From User Demand to Software Service : Using Machine Learning to Automate the Requirements Specification Process
From User Demand to Software Service : Using Machine Learning to Automate the Requirements Specification Process
No Thumbnail Available
Files
There are no files associated with this item.
Date
2017
Authors
van Rooijen, Lorijn
Baumer, Frederik Simon
Platenius, Marie Christin
Geierhos, Michaela
Engels, Gregor
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
DOI (citable link)
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Contribution to a conference collection
Publication status
Published
Published in
2017 IEEE 25th International Requirements Engineering Conference Workshops (REW). - Piscataway, NJ : IEEE, 2017. - pp. 379-385. - ISBN 978-1-5386-3488-2
Abstract
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.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Conference
REW 2017 : 25th International Requirements Engineering Conference Workshops, Sep 4, 2017 - Sep 8, 2017, Lisbon, Portugal
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690
VAN ROOIJEN, Lorijn, Frederik Simon BAUMER, Marie Christin PLATENIUS, Michaela GEIERHOS, Heiko HAMANN, Gregor ENGELS, 2017. From User Demand to Software Service : Using Machine Learning to Automate the Requirements Specification Process. REW 2017 : 25th International Requirements Engineering Conference Workshops. Lisbon, Portugal, Sep 4, 2017 - Sep 8, 2017. In: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW). Piscataway, NJ:IEEE, pp. 379-385. ISBN 978-1-5386-3488-2. Available under: doi: 10.1109/REW.2017.26BibTex
@inproceedings{vanRooijen2017Deman-59867, year={2017}, doi={10.1109/REW.2017.26}, title={From User Demand to Software Service : Using Machine Learning to Automate the Requirements Specification Process}, isbn={978-1-5386-3488-2}, publisher={IEEE}, address={Piscataway, NJ}, booktitle={2017 IEEE 25th International Requirements Engineering Conference Workshops (REW)}, pages={379--385}, author={van Rooijen, Lorijn and Baumer, Frederik Simon and Platenius, Marie Christin and Geierhos, Michaela and Hamann, Heiko and Engels, Gregor} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/59867"> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:creator>Geierhos, Michaela</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59867"/> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <dc:contributor>Geierhos, Michaela</dc:contributor> <dc:contributor>van Rooijen, Lorijn</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-20T13:17:49Z</dc:date> <dc:contributor>Hamann, Heiko</dc:contributor> <dcterms:issued>2017</dcterms:issued> <dcterms:title>From User Demand to Software Service : Using Machine Learning to Automate the Requirements Specification Process</dcterms:title> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-20T13:17:49Z</dcterms:available> <dc:rights>terms-of-use</dc:rights> <dc:creator>Hamann, Heiko</dc:creator> <dc:creator>Platenius, Marie Christin</dc:creator> <dc:creator>van Rooijen, Lorijn</dc:creator> <dc:creator>Engels, Gregor</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Baumer, Frederik Simon</dc:creator> <dc:language>eng</dc:language> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:contributor>Engels, Gregor</dc:contributor> <dc:contributor>Platenius, Marie Christin</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:contributor>Baumer, Frederik Simon</dc:contributor> </rdf:Description> </rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
No