Mutation Testing Effectiveness - An Empirical Analysis on Java Mutation Testing Tools
Software testing is no longer merely a passing fad in software development models. Unit testing, which enables programmers to test each component separately, is one of the most widely used methodologies today. But how can a test suite be accurately evaluated, and how can developers have confidence t...
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| Format: | masterThesis |
| Language: | eng |
| Published: |
2022
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| Online Access: | https://hdl.handle.net/10216/145174 |
| Country: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/145174 |
| Summary: | Software testing is no longer merely a passing fad in software development models. Unit testing, which enables programmers to test each component separately, is one of the most widely used methodologies today. But how can a test suite be accurately evaluated, and how can developers have confidence that their code will not fail or provide unexpected results? That's where mutation testing comes in. Mutation testing is a powerful technique and has an active research state with a history of more than 40 years. It is a complex and computationally expensive testing approach that is seen primarily as a resource-intensive activity when compared to other testing methods. Having support from automated tools is essential for carrying out mutation testing if one want to develop it into a testing method that is both applicable in practice and usable across the industry. |
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