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arXiv · 1907.02192

Lifting Datalog-Based Analyses to Software Product Lines

Ramy Shahin·Marsha Chechik·Rick Salay
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Abstract

Applying program analyses to Software Product Lines (SPLs) has been a fundamental research problem at the intersection of Product Line Engineering and software analysis. Different attempts have been made to "lift" particular product-level analyses to run on the entire product line. In this paper, we tackle the class of Datalog-based analyses (e.g., pointer and taint analyses), study the theoretical aspects of lifting Datalog inference, and implement a lifted inference algorithm inside the Souffl\'e Datalog engine. We evaluate our implementation on a set of benchmark product lines. We show significant savings in processing time and fact database size (billions of times faster on one of the benchmarks) compared to brute-force analysis of each product individually.

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Ramy Shahin, Marsha Chechik, Rick Salay. 2019-07-04. Lifting Datalog-Based Analyses to Software Product Lines. https://doi.org/10.1145/3338906.3338928

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