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Bypassing the Combinatorial Explosion: Using Similarity to Generate and Prioritize T-wise Test Suites for Large Software Product Lines

2012/11/23 by Christopher Henard, Mike Papadakis, Henard, Christopher +9 · 1 citation
Computer Science · #Advanced Software Engineering Methodologies #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Reliability and Analysis Research #Software Testing and Debugging Techniques

paper · pdf · doi:10.48550/arxiv.1211.5451

openalex publication_date 2012/11/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Software Product Lines (SPLs) are families of products whose commonalities and variability can be captured by Feature Models (FMs). T-wise testing aims at finding errors triggered by all interactions amongst t features, thus reducing drastically the number of products to test. T-wise testing approaches for SPLs are limited to small values of t -- which miss faulty interactions -- or limited by the size of the FM. Furthermore, they neither prioritize the products to test nor provide means to finely control the generation process. This paper offers (a) a search-based approach capable of generating products for large SPLs, forming a scalable and flexible alternative to current techniques and (b) prioritization algorithms for any set of products. Experiments conducted on 124 FMs (including large FMs such as the Linux kernel) demonstrate the feasibility and the practicality of our approach.

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