The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Introduction to Software Testing
Abstract
Software testing can be regarded as an art, a craft, and a science. The practical, step-by-step approach presented in this book provides a bridge between these different viewpoints. A single worked example runs throughout, with consistent use of test automation. Each testing technique is introduced in the context of this example, helping students see its strengths and weaknesses. The technique is then explained in more detail, providing a deeper understanding of underlying principles. Finally the limitations of each technique are demonstrated by inserting faults, giving learners concrete examples of when each technique succeeds or fails in finding faults. Coverage includes black-box testing, white-box testing, random testing, unit testing, object-oriented testing, and application testing. The authors also emphasise the process of applying the techniques, covering the steps of analysis, test design, test implementation, and interpretation of results. The book's web site has programming exercises and Java source code for all examples.
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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
Cited by
Zhang, M., Zhang, Y., Zhang, L., Liu, C., & Khurshid, S. (2018) · Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering · doi:10.1145/3238147.3238187 · Cited by 611
Machine learning applied to software testing: A systematic mapping study
Durelli, V. H. S., Durelli, R. S., Borges, S. S., Endo, A. T., Eler, M. M., Dias, D. R. C., & Guimaraes, M. P. (2019) · IEEE Transactions on Reliability · doi:10.1109/tr.2019.2892517 · Cited by 207
When and what to automate in software testing? A multi-vocal literature review
Garousi, V., & Mäntylä, M. V. (2016) · Information and Software Technology · doi:10.1016/j.infsof.2016.04.015 · Cited by 182
Testing scientific software: A systematic literature review
Kanewala, U., & Bieman, J. M. (2014) · Information and Software Technology · doi:10.1016/j.infsof.2014.05.006 · Cited by 150
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
Zhong, R., Yu, T., & Klein, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.29 · Cited by 112
Metadata
- Venue
- Essentials of Software Testing
- Publisher
- Cambridge University Press
- Published
- 2021-08-19
- Pages
- 1-26
- OpenAlex
- W1486172410
- Cited by
- 1,056
- References
- 1
- FWCI
- 136.08
- Type
- book chapter
- Language
- en
- Open access
- closed
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