Conceptual module querying for software reengineering
Proceedings of the 20th international conference on Software engineering
On the criteria to be used in decomposing systems into modules
Communications of the ACM
Global variable considered harmful
ACM SIGPLAN Notices
Using task context to improve programmer productivity
Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
Granularity in software product lines
Proceedings of the 30th international conference on Software engineering
Emergent feature modularization
Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion
On the impact of feature dependencies when maintaining preprocessor-based software product lines
Proceedings of the 10th ACM international conference on Generative programming and component engineering
Intraprocedural dataflow analysis for software product lines
Proceedings of the 11th annual international conference on Aspect-oriented Software Development
Squid: an extensible infrastructure for analyzing software product line implementations
Proceedings of the 16th International Software Product Line Conference - Volume 2
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When maintaining a feature in preprocessor-based Software Product Lines (SPLs), developers are susceptible to introduce problems into other features. This is possible because features eventually share elements (like variables and methods) with the maintained one. This scenario might be even worse when hiding features by using techniques like Virtual Separation of Concerns (VSoC), since developers cannot see the feature dependencies and, consequently, they become unaware of them. Emergent Interfaces was proposed to minimize this problem by capturing feature dependencies and then providing information about other features that can be impacted during a maintenance task. In this paper, we present Emergo, a tool capable of computing emergent interfaces between the feature we are maintaining and the others. Emergo relies on feature-sensitive dataflow analyses in the sense it takes features and the SPL feature model into consideration when computing the interfaces.