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arXiv · 2107.07690

Applying Declarative Analysis to Software Product Line Models: An Industrial Study

Ramy Shahin·Robert Hackman·Rafael Toledo·Ramesh S·Joanne M. Atlee·Marsha Chechik
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Abstract

Software Product Lines (SPLs) are families of related software products developed from a common set of artifacts. Most existing analysis tools can be applied to a single product at a time, but not to an entire SPL. Some tools have been redesigned/re-implemented to support the kind of variability exhibited in SPLs, but this usually takes a lot of effort, and is error-prone. Declarative analyses written in languages like Datalog have been collectively lifted to SPLs in prior work, which makes the process of applying an existing declarative analysis to a product line more straightforward. In this paper, we take an existing declarative analysis (behaviour alteration) written in the Grok declarative language, port it to Datalog, and apply it to a set of automotive software product lines from General Motors. We discuss the design of the analysis pipeline used in this process, present its scalability results, and provide a means to visualize the analysis results for a subset of products filtered by feature expression. We also reflect on some of the lessons learned throughout this project.

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Ramy Shahin, Robert Hackman, Rafael Toledo, Ramesh S, Joanne M. Atlee, Marsha Chechik. 2021-07-16. Applying Declarative Analysis to Software Product Line Models: An Industrial Study. https://arxiv.org/abs/2107.07690

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