Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-21347-2_22
DC FieldValue
dc.titlePragmatic strategies for variability management in software product lines
dc.contributor.authorJarzabek, S.
dc.date.accessioned2013-07-04T08:21:59Z
dc.date.available2013-07-04T08:21:59Z
dc.date.issued2011
dc.identifier.citationJarzabek, S. (2011). Pragmatic strategies for variability management in software product lines. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6727 LNCS : 244-245. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-21347-2_22" target="_blank">https://doi.org/10.1007/978-3-642-21347-2_22</a>
dc.identifier.isbn9783642213465
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41202
dc.description.abstractAfter general introduction to Software Product Lines (SPL), we focus on variability management, a key technical challenge for effective reuse. We discuss reasons why commonly used variation techniques (pre-processing, configuration files) do not scale well. We present merits (visibility of feature impact on core assets, automation of product derivation, support for evolution and scalability), and trade-offs (need for skilful design and training) in applying uniform variation technique, design specifically to manage variability in SPLs. © 2011 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-21347-2_22
dc.sourceScopus
dc.subjectGeneration
dc.subjectSoftware Product Lines
dc.subjectVariability management
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-21347-2_22
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume6727 LNCS
dc.description.page244-245
dc.identifier.isiutNOT_IN_WOS
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