The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An Analysis and Survey of the Development of Mutation Testing
Abstract
Mutation Testing is a fault-based software testing technique that has been widely studied for over three decades. The literature on Mutation Testing has contributed a set of approaches, tools, developments, and empirical results. This paper provides a comprehensive analysis and survey of Mutation Testing. The paper also presents the results of several development trend analyses. These analyses provide evidence that Mutation Testing techniques and tools are reaching a state of maturity and applicability, while the topic of Mutation Testing itself is the subject of increasing interest.
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Citations
Cites
Constraint-based automatic test data generation
DeMilli, R. A., & Offutt, A. J. (1991) · IEEE Transactions on Software Engineering · doi:10.1109/32.92910 · Cited by 804
On testing non-testable programs
Weyuker, E. J. (1982) · The Computer Journal · doi:10.1093/comjnl/25.4.465 · Cited by 606
Cited by
Machine Learning Testing: Survey, Landscapes and Horizons
Zhang, J. M., Harman, M., Ma, L., & Liu, Y. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2019.2962027 · Cited by 897
Self-citationLarge language models for software engineering: survey and open problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · 2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE) · doi:10.1109/icse-fose59343.2023.00008 · Cited by 650
Self-citationFraser, G., & Arcuri, A. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.14 · Cited by 586
Large Language Models for Software Engineering: Survey and Open Problems
Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · arXiv · doi:10.48550/arxiv.2310.03533 · Cited by 523
Self-citationAutomatic Generation of Programming Exercises and Code Explanations Using Large Language Models
Sarsa, S., Denny, P., Hellas, A., & Leinonen, J. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1 · doi:10.1145/3501385.3543957 · Cited by 497
Metadata
- Authors
- Jia, Y., & Harman, M.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 2011-09
- Volume
- 37
- Issue
- 5
- Pages
- 649-678
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2135841285
- Cited by
- 1,745
- References
- 2
- FWCI
- 302.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jia, Y., & Harman, M. (2011). An Analysis and Survey of the Development of Mutation Testing. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.2010.62
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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