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dc.contributor.authorRostami, Kiana
dc.contributor.authorStammel, Johannes
dc.contributor.authorHeinrich, Robert
dc.contributor.authorReussner, Ralf
dc.contributor.editorJürjens, Jan
dc.contributor.editorSchneider, Kurt
dc.date.accessioned2017-06-21T19:18:05Z
dc.date.available2017-06-21T19:18:05Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-661-9
dc.identifier.issn1617-5468
dc.description.abstractSoftware architecture presents the main artifact of software systems reflecting design decisions and thus influence their quality attributes. Furthermore, during software evolution each architecture decision also influences technical artifacts (e.g., test cases) and the corresponding orga- nizational responsibilities (e.g., tester). Thus, it is important to predict the impact of a change request (e.g., changing an interface) on the software architecture and other software artifacts for decision- making. Hence, a software architect can estimate the effort of the implementation of a change request due to corresponding implementation tasks. However, existing approaches are limited to artifacts of the software development process or do not use formal architecture descriptions. We present the Karlsruhe Architectural Maintainability Prediction (KAMP), that enables software architects to ana- lyze the propagation of change requests in software architecture models. Our approach is not limited to the technical operations but as well considers the organizational tasks. KAMP supports softwa- re architects by automatically generated task lists to implement changes. In an empirical study, we showed, that KAMP improves the scalability, precision, and completeness of change propagation analysis.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftware Engineering 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-267
dc.subjectSoftware Evolution
dc.subjectChange Request
dc.subjectImpact Analysis
dc.titleChange Impact Analysis by Architecture-based Assessment and Planningen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages69
mci.conference.sessiontitleEvolution
mci.conference.locationHannover
mci.conference.date21.-24. Februar 2017


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