Squid: an extensible infrastructure for analyzing software product line implementations

Software product line engineering is about producing a set of related products that share more commonalities than variabilities. This approach promotes benefits such as cost reduction, product quality, productivity and time to market, but it brings new challenges that must be considered during the evolution of the software product line. In this context, recent research has explored and proposed automated approaches based on code analysis and traceability techniques for change impact analysis. This paper presents Squid, an extensible infrastructure for analyzing software product line implementations. The approach uses information from variability modeling, variability mapping to code assets, and dependency relationships between code assets to perform analysis of SPL implementations. A Squid instantiation example is presented to illustrate the usage of the tool in practical scenarios.