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Using Repository Data for Driving Software Architecture
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-1154-5308
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA ; DSIQ)ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-0835-823X
2018 (English)In: Proceeding of the 40th International Conference on Software Engineering: Companion Proceeedings (ICSE), 2018, ACM Publications, 2018, p. 197-198Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

We are in the pursuit of establishing a method for continuous data driven software architecture. We describe the problem with current methods for measuring the impact of refactoring long lived systems at the architectural level and architecture compliance checking. We summarize our studies of code churn, productivity and an automatic tool for compliance checking. We conclude that architecture violations seem to play an important role, but current methods are infeasible for industry practice. Finally we propose to use repository data mining to improve current methods for architecture compliance checking.

Place, publisher, year, edition, pages
ACM Publications, 2018. p. 197-198
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-80971DOI: 10.1145/3183440.3195094ISBN: 978-1-4503-5663-3 (print)OAI: oai:DiVA.org:lnu-80971DiVA, id: diva2:1293938
Conference
40th International Conference on Software Engineering, Gothenburg, May 27-June 3, 2018
Funder
Knowledge Foundation, 20150088Available from: 2019-03-05 Created: 2019-03-05 Last updated: 2019-03-14Bibliographically approved

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Olsson, TobiasEricsson, MorganWingkvist, Anna

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  • apa
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