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Automated Process-Centric Quality Constraints Checking for Quality Assurance in Safety-critical Systems

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dc.contributor.authorMayr-Dorn, Christoph
dc.contributor.authorVierhauser, Michael
dc.contributor.authorBichler, Stefan
dc.contributor.authorKeplinger, Felix
dc.contributor.authorCleland-Huang, Jane
dc.contributor.authorEgyed, Alexander
dc.contributor.authorMehofer, Thomas
dc.contributor.editorGrunske, Lars
dc.contributor.editorSiegmund, Janet
dc.contributor.editorVogelsang, Andreas
dc.date.accessioned2022-01-19T12:56:53Z
dc.date.available2022-01-19T12:56:53Z
dc.date.issued2022
dc.description.abstractThis abstract summarizes the work published as an ICSE 2021 research track paper ''Supporting Quality Assurance with Automated Process-Centric Quality Constraints Checking'' available at https://doi.org/10.1109/ICSE43902.2021.00118 . We propose an approach that, on the one hand, assists in checking compliance with traceability requirements but, on the other hand, allows engineers to temporarily deviate from the prescribed software engineering process. Through the observation of developer activities in the form of changes to engineering artifacts in tools such as Jira or Jama, we build up a representation of the ongoing process progress. This tracking in the background does not force the software developer to work only on activities as defined in a process description. At the same time, it enables us to provide timely feedback to the developer on whether tasks fulfill all QA criteria. This approach lifts the burden off QA engineers in manually checking QA constraints, often a time-consuming, tedious, and error-prone task where feedback reaches developers usually very late. We evaluate our approach by applying it to two different case studies; one open source community system and a safety-critical system in the air-traffic control domain. Results from the analysis show that trace links are often corrected or completed after the fact and thus timely and automated constraint checking support has significant potential on reducing rework.en
dc.identifier.doi10.18420/se2022-ws-022
dc.identifier.isbn978-3-88579-714-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37975
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-320
dc.subjectsoftware engineering process
dc.subjecttraceability
dc.subjectdeveloper support
dc.subjectartifact change monitoring
dc.titleAutomated Process-Centric Quality Constraints Checking for Quality Assurance in Safety-critical Systemsen
dc.typeText/Conference Paper
gi.citation.endPage72
gi.citation.publisherPlaceBonn
gi.citation.startPage71
gi.conference.date21.-25. Feburar 2022
gi.conference.locationBerlin/Virtuell
gi.conference.sessiontitleWissenschaftliches Hauptprogramm

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P320 - Software Engineering 2022