Sampling strategies for product lines with unbounded parametric real-time constraints

Luthmann, Lars; Gerecht, Timo; Lochau, Malte

doi:10.1007/s10009-019-00532-4

Cited by 4 publications

References 54 publications

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Static detection of equivalent mutants in real-time model-based mutation testing

et al. 2022

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Model-based mutation testing has the potential to effectively drive test generation to reveal faults in software systems. However, it faces a typical efficiency issue since it could produce many mutants that are equivalent to the original system model, making it impossible to generate test cases from them. We consider this problem when model-based mutation testing is applied to real-time system product lines, represented as timed automata. We define novel, time-specific mutation operators and formulate the equivalent mutant problem in the frame of timed refinement relations. Further, we study in which cases a mutation yields an equivalent mutant. Our theoretical results provide guidance to system engineers, allowing them to eliminate mutations from which no test case can be produced. Our empirical evaluation, based on a proof-of-concept implementation and a set of benchmarks from the literature, confirms the validity of our theory and demonstrates that in general our approach can avoid the generation of a significant amount of the equivalent mutants.

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Static detection of equivalent mutants in real-time model-based mutation testing

et al. 2022

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Software product line testing: a systematic literature review

Agh,

Azamnouri,

Wagner

2024

Empir Software Eng

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A Software Product Line (SPL) is a software development paradigm in which a family of software products shares a set of core assets. Testing has a vital role in both single-system development and SPL development in identifying potential faults by examining the behavior of a product or products, but it is especially challenging in SPL. There have been many research contributions in the SPL testing field; therefore, assessing the current state of research and practice is necessary to understand the progress in testing practices and to identify the gap between required techniques and existing approaches. This paper aims to survey existing research on SPL testing to provide researchers and practitioners with up-to-date evidence and issues that enable further development of the field. To this end, we conducted a Systematic Literature Review (SLR) with seven research questions in which we identified and analyzed 118 studies dating from 2003 to 2022. The results indicate that the literature proposes many techniques for specific aspects (e.g., controlling cost/effort in SPL testing); however, other elements (e.g., regression testing and non-functional testing) still need to be covered by existing research. Furthermore, most approaches are evaluated by only one empirical method, most of which are academic evaluations. This may jeopardize the adoption of approaches in industry. The results of this study can help identify gaps in SPL testing since specific points of SPL Engineering still need to be addressed entirely.

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