Please use this identifier to cite or link to this item: https://doi.org/10.1145/1985793.1986009
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dc.titleReengineering legacy software products into software product line based on automatic variability analysis
dc.contributor.authorXue, Y.
dc.date.accessioned2013-07-04T08:07:41Z
dc.date.available2013-07-04T08:07:41Z
dc.date.issued2011
dc.identifier.citationXue, Y. (2011). Reengineering legacy software products into software product line based on automatic variability analysis. Proceedings - International Conference on Software Engineering : 1114-1117. ScholarBank@NUS Repository. <a href="https://doi.org/10.1145/1985793.1986009" target="_blank">https://doi.org/10.1145/1985793.1986009</a>
dc.identifier.isbn9781450304450
dc.identifier.issn02705257
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40584
dc.description.abstractIn order to deliver the various and short time-to-market software products to customers, the paradigm of Software Product Line (SPL) represents a new endeavor to the software development. To migrate a family of legacy software products into SPL for effective reuse, one has to understand commonality and variability among existing products variants. The existing techniques rely on manual identification and modeling of variability, and the analysis based on those techniques is performed at several mutually independent levels of abstraction. We propose a sandwich approach that consolidates feature knowledge from top-down domain analysis with bottom-up analysis of code similarities in subject software products. Our proposed method integrates model differencing, clone detection, and information retrieval techniques, which can provide a systematic means to reengineer the legacy software products into SPL based on automatic variability analysis. © 2011 Author.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1145/1985793.1986009
dc.sourceScopus
dc.subjectlegacy software
dc.subjectspl
dc.subjectvariability analysis
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1145/1985793.1986009
dc.description.sourcetitleProceedings - International Conference on Software Engineering
dc.description.page1114-1117
dc.description.codenPCSED
dc.identifier.isiutNOT_IN_WOS
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