Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7505
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dc.contributor.authorAysolmaz, Banu-
dc.contributor.authorLeopold, Henrik-
dc.contributor.authorReijers, Hajo A.-
dc.contributor.authorDemirörs, Onur-
dc.date.accessioned2019-12-19T12:59:03Z
dc.date.available2019-12-19T12:59:03Z
dc.date.issued2018-01en_US
dc.identifier.citationAysolmaz, B., Leopold, H., Reijers, H. A., and Demirörs, O. (2018). A semi-automated approach for generating natural language requirements documents based on business process models. Information and Software Technology, 93, 14-29. doi:10.1016/j.infsof.2017.08.009en_US
dc.identifier.issn0950-5849
dc.identifier.issn0950-5849-
dc.identifier.urihttps://doi.org/10.1016/j.infsof.2017.08.009
dc.identifier.urihttps://hdl.handle.net/11147/7505
dc.description.abstractContext: The analysis of requirements for business-related software systems is often supported by using business process models. However, the final requirements are typically still specified in natural language. This means that the knowledge captured in process models must be consistently transferred to the specified requirements. Possible inconsistencies between process models and requirements represent a serious threat for the successful development of the software system and may require the repetition of process analysis activities. Objective: The objective of this paper is to address the problem of inconsistency between process models and natural language requirements in the context of software development. Method: We define a semi-automated approach that consists of a process model-based procedure for capturing execution-related data in requirements models and an algorithm that takes these models as input for generating natural language requirements. We evaluated our approach in the context of a multiple case study with three organizations and a total of 13 software development projects. Results: We found that our approach can successfully generate well-readable requirements, which do not only positively contribute to consistency, but also to the completeness and maintainability of requirements. The practical use of our approach to identify a suitable subcontractor on the market in 11 of the 13 projects further highlights the practical value of our approach. Conclusion: Our approach provides a structured way to obtain high-quality requirements documents from process models and to maintain textual and visual representations of requirements in a consistent way.en_US
dc.description.sponsorshipEuropean Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 660646en_US
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofInformation and Software Technologyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBusiness process modelen_US
dc.subjectNatural language generationen_US
dc.subjectRequirements elicitationen_US
dc.titleA semi-automated approach for generating natural language requirements documents based on business process modelsen_US
dc.typeArticleen_US
dc.authorid0000-0001-6601-3937en_US
dc.institutionauthorDemirörs, Onur-
dc.departmentIzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume93en_US
dc.identifier.startpage14en_US
dc.identifier.endpage29en_US
dc.identifier.wosWOS:000414878200002en_US
dc.identifier.scopus2-s2.0-85028402789en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.infsof.2017.08.009-
dc.relation.doi10.1016/j.infsof.2017.08.009en_US
dc.coverage.doi10.1016/j.infsof.2017.08.009en_US
dc.identifier.scopusqualityQ2-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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