Proceedings of the 7th International Workshop on Feature-Oriented Software Development 2016
DOI: 10.1145/3001867.3001876
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FeatureCoPP: compositional annotations

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Cited by 13 publications
(27 citation statements)
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“…This section discusses and compares our approach to the pure composition and annotation-based approaches and to the most relevant integrated approaches [28,35]. We partly base the discussion on the quality criteria for SPL implementation techniques defined in [2] (feature traceability, separation of concerns, information hiding, granularity, uniformity, and preplanning effort) but from a different point of view, that is, the architectural level where CVL works.…”
Section: Discussionmentioning
confidence: 99%
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“…This section discusses and compares our approach to the pure composition and annotation-based approaches and to the most relevant integrated approaches [28,35]. We partly base the discussion on the quality criteria for SPL implementation techniques defined in [2] (feature traceability, separation of concerns, information hiding, granularity, uniformity, and preplanning effort) but from a different point of view, that is, the architectural level where CVL works.…”
Section: Discussionmentioning
confidence: 99%
“…All these approaches [11,29,31,34,35] are useful in the scenarios of refactoring annotated SPL in order to utilize, or to migrate toward, composition; and to adopt SPLs from legacy systems (the extractive approach) [2]. In particular, Benduhn et al [11] apply the integration approach proposed by Kästner and Apel [28] in a real case study, by migrating Berkeley DB from C preprocessors annotations toward partial composition.…”
Section: Related Workmentioning
confidence: 99%
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“…One of the main advantages of composition‐based approaches is the physical separation of features. This facilitates traceability and maintenance but also poses new challenges. For example, analysing and testing become more challenging, due to the complexity and separation of code .…”
Section: Introductionmentioning
confidence: 99%