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Exploring Architectural Design Decisions in Mailing Lists and their Traceability to Issue Trackers

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dc.contributor.authorSoliman, Mohamed
dc.contributor.editorKoziolek, Anne
dc.contributor.editorLamprecht, Anna-Lena
dc.contributor.editorThüm, Thomas
dc.contributor.editorBurger, Erik
dc.date.accessioned2025-02-14T09:36:30Z
dc.date.available2025-02-14T09:36:30Z
dc.date.issued2025
dc.description.abstractSoftware developers commonly use mailing lists to communicate and discuss issues. Some of the emails discuss architectural design decisions (ADDs) to design the components of a system, or achieve quality attributes. In this paper, we explore (a) The types of ADDs in mailing lists, and their co-occurrences, and (b) Methods used by practitioners to discuss ADDs using both mailing lists and issue trackers (e.g. Jira). We applied qualitative methods, as well as deep learning classification to classify ADDs in mailing lists. Furthermore, we applied similarity algorithms to detect related ADDs between emails and issues. Our findings support empirically-grounded approaches to identify and classify ADDs in mailing lists and issue trackers for future system design.en
dc.identifier.doi10.18420/se2025-04
dc.identifier.eissn2944-7682
dc.identifier.issn2944-7682
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45802
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofSoftware Engineering 2025
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-360
dc.subjectsoftware architecture
dc.subjectarchitecture knowledge
dc.subjectdesign decisions
dc.subjectsoftware repositories
dc.titleExploring Architectural Design Decisions in Mailing Lists and their Traceability to Issue Trackersen
mci.conference.date22.-28. Februar 2025
mci.conference.locationKarlsruhe
mci.conference.sessiontitleScientific Programme
mci.reference.pages31-32

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