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Variability Aware Requirements Reuse Analysis
Mälardalen University, School of Innovation, Design and Engineering. ES (Embedded Systems).
2020 (English)In: The 42nd International Conference on Software Engineering Companion ICSE'20, Seoul, South Korea: ACM , 2020Conference paper, Published paper (Refereed)
Abstract [en]

Problem: The goal of a software product line is to aid quick and quality delivery of software products, sharing common features. Effectively achieving the above-mentioned goals requires reuse analysis of the product line features. Existing requirements reuse analysis approaches are not focused on recommending product line features, that can be reused to realize new customer requirements. Hypothesis: Given that the customer requirements are linked to product line features' description satisfying them: then the customer requirements can be clustered based on patterns and similarities, preserving the historic reuse information. New customer requirements can be evaluated against existing customer requirements and reuse of product line features can be recommended. Contributions: We treated the problem of feature reuse analysis as a text classification problem at the requirements-level. We use Natural Language Processing and clustering to recommend reuse of features based on similarities and historic reuse information. The recommendations can be used to realize new customer requirements.

Place, publisher, year, edition, pages
Seoul, South Korea: ACM , 2020.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-47328DOI: 10.1145/3377812.3381399ISBN: 9781450371223 (print)OAI: oai:DiVA.org:mdh-47328DiVA, id: diva2:1426341
Conference
The 42nd International Conference on Software Engineering Companion ICSE'20, 23 May 2020, Seoul, South Korea
Projects
ARRAY - Automation Region Research AcademyXIVT - eXcellence in Variant TestingAvailable from: 2020-04-24 Created: 2020-04-24 Last updated: 2020-04-24Bibliographically approved

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CiteExportLink to record
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  • apa
  • ieee
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  • de-DE
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  • en-US
  • fi-FI
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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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