Spectrum-based feature localization for families of systems

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dc.contributor.authorMichelon, Gabriela K.
dc.contributor.authorMartinez, Jabier
dc.contributor.authorSotto-Mayor, Bruno
dc.contributor.authorArrieta, Aitor
dc.contributor.authorAssunção, Wesley K.G.
dc.contributor.authorAbreu, Rui
dc.contributor.authorEgyed, Alexander
dc.contributor.institutionSWT
dc.date.accessioned2024-07-24T12:04:06Z
dc.date.available2024-07-24T12:04:06Z
dc.date.issued2023-01
dc.descriptionPublisher Copyright: © 2022 The Author(s)
dc.description.abstractIn large code bases, locating the elements that implement concrete features of a system is challenging. This information is paramount for maintenance and evolution tasks, although not always explicitly available. In this work, motivated by the needs of locating features as a first step for feature-based Software Product Line adoption, we propose a solution for improving the performance of existing approaches. For this, relying on an automatic feature localization approach to locate features in single-systems, we propose approaches to deal with feature localization in the context of families of systems, e.g., variants created through opportunistic reuse such as clone-and-own. Our feature localization approaches are built on top of Spectrum-based feature localization (SBFL) techniques, supporting both dynamic feature localization (i.e., using execution traces as input) and static feature localization (i.e., relying on the structural decomposition of the variants’ implementation). Concretely, we provide (i) a characterization of different settings for dynamic SBFL in single systems, (ii) an approach to improve accuracy of dynamic SBFL for families of systems, and (iii) an approach to use SBFL as a static feature localization technique for families of systems. The proposed approaches are evaluated using the consolidated ArgoUML SPL feature localization benchmark. The results suggest that some settings of SBFL favor precision such as using the ranking metrics Wong2, Ochiai2, or Tarantula with high threshold values, while most of the ranking metrics with low thresholds favor recall. The approach to use information from variants increase the precision of dynamic SBFL while maintaining recall even with few number of variants, namely two or three. Finally, the static SBFL approach performs equally in terms of accuracy to other state-of-the-art approaches, such as Formal Concept Analysis and Interdependent Elements.en
dc.description.sponsorshipThis research was funded by the LIT Secure and Correct Systems Lab, Spain ; the Austrian Science Fund (FWF) , grant no. P31989 ; Pro2Future, a COMET K1-Centre of the Austrian Research Promotion Agency (FFG) , grant no. 854184 . Aitor Arrieta is part of the Software and Systems Engineering research group of Mondragon Unibertsitatea ( IT1519-22 ), supported by the Department of Education, Universities and Research of the Basque Country, Spain .
dc.description.statusPeer reviewed
dc.identifier.citationMichelon , G K , Martinez , J , Sotto-Mayor , B , Arrieta , A , Assunção , W K G , Abreu , R & Egyed , A 2023 , ' Spectrum-based feature localization for families of systems ' , Journal of Systems and Software , vol. 195 , 111532 . https://doi.org/10.1016/j.jss.2022.111532
dc.identifier.doi10.1016/j.jss.2022.111532
dc.identifier.issn0164-1212
dc.identifier.urihttps://hdl.handle.net/11556/3418
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85140380777&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofJournal of Systems and Software
dc.relation.projectIDDepartment of Education, Universities and Research of the Basque Country
dc.relation.projectIDLIT Secure and Correct Systems Lab
dc.relation.projectIDSoftware and Systems Engineering research group of Mondragon Unibertsitatea, IT1519-22
dc.relation.projectIDAustrian Science Fund, FWF, P31989
dc.relation.projectIDÖsterreichische Forschungsförderungsgesellschaft, FFG, 854184
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsClone-and-own
dc.subject.keywordsFeature localization
dc.subject.keywordsSoftware product lines
dc.subject.keywordsSpectrum-based localization
dc.subject.keywordsSoftware
dc.subject.keywordsInformation Systems
dc.subject.keywordsHardware and Architecture
dc.titleSpectrum-based feature localization for families of systemsen
dc.typejournal article
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