The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Sapienz: multi-objective automated testing for Android applications
Open accessAbstract
We introduce Sapienz, an approach to Android testing that uses multi-objective search-based testing to automatically explore and optimise test sequences, minimising length, while simultaneously maximising coverage and fault revelation. Sapienz combines random fuzzing, systematic and search-based exploration, exploiting seeding and multi-level instrumentation. Sapienz significantly outperforms (with large effect size) both the state-of-the-art technique Dynodroid and the widely-used tool, Android Monkey, in 7/10 experiments for coverage, 7/10 for fault detection and 10/10 for fault-revealing sequence length. When applied to the top 1,000 Google Play apps, Sapienz found 558 unique, previously unknown crashes. So far we have managed to make contact with the developers of 27 crashing apps. Of these, 14 have confirmed that the crashes are caused by real faults. Of those 14, six already have developer-confirmed fixes.
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Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Fraser, G., & Arcuri, A. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.14 · Cited by 586
Cited by
A Survey of App Store Analysis for Software Engineering
Martin, W., Sarro, F., Jia, Y., Zhang, Y., & Harman, M. (2017) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2630689 · Cited by 459
Self-citationGuided, stochastic model-based GUI testing of Android apps
Su, T., Meng, G., Chen, Y., Wu, K., Yang, W., Yao, Y., Pu, G., Liu, Y., & Su, Z. (2017) · Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering · doi:10.1145/3106237.3106298 · Cited by 371
CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
Lemieux, C., Inala, J. P., Lahiri, S. K., & Sen, S. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) · doi:10.1109/icse48619.2023.00085 · Cited by 306
Metadata
- Authors
- Mao, K., Harman, M., & Jia, Y.
- Venue
- Proceedings of the 25th International Symposium on Software Testing and Analysis
- Publisher
- ACM
- Published
- 2016-07-18
- Pages
- 94-105
- OpenAlex
- W2463553622
- Cited by
- 541
- References
- 2
- FWCI
- 43.08
- Type
- conference paper
- Language
- en
- Open access
- green
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