Statistical Model Checking for Variability-Intensive Systems-Reference-Cited by-同舟云学术

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Statistical Model Checking for Variability-Intensive Systems

Published:2020 Issue: Volume: Page:294-314
ISSN:0302-9743
Container-title:Fundamental Approaches to Software Engineering
language:
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Author:

Cordy Maxime^ORCID,Papadakis Mike,Legay Axel

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-45234-6_15

Reference39 articles.

1. Ammann, P.E., Black, P.E., Majurski, W.: Using model checking to generate tests from specifications. In: Proceedings Second International Conference on Formal Engineering Methods (Cat.No.98EX241). pp. 46–54 (1998)

2. Baier, C., Katoen, J.: Principles of model checking. MIT Press (2008)

3. ter Beek, M.H., Fantechi, A., Gnesi, S., Mazzanti, F.: Modelling and analysing variability in product families: Model checking of modal transition systems with variability constraints. Journal of Logical and Algebraic Methods in Programming 85(2), 287 – 315 (2016)

4. Boneh, A., Hofri, M.: The coupon-collector problem revisited — a survey of engineering problems and computational methods. Communications in Statistics. Stochastic Models 13(1), 39–66 (1997)

5. Boucher, Q., Classen, A., Heymans, P., Bourdoux, A., Demonceau, L.: Tag and prune: A pragmatic approach to software product line implementation. In: ASE’10. pp. 333–336. ACM (2010)

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1. Preprocessing is What You Need: Understanding and Predicting the Complexity of SAT-based Uniform Random Sampling;Proceedings of the 2024 IEEE/ACM 12th International Conference on Formal Methods in Software Engineering (FormaliSE);2024-04-14

2. BURST: Benchmarking uniform random sampling techniques;Science of Computer Programming;2023-03

3. BURST;Proceedings of the 25th ACM International Systems and Software Product Line Conference - Volume B;2021-09-06

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