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https://hdl.handle.net/10216/145174| Author(s): | Luís Carlos de Sousa Pinto |
| Title: | Mutation Testing Effectiveness - An Empirical Analysis on Java Mutation Testing Tools |
| Issue Date: | 2022-10-20 |
| Abstract: | 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. |
| Description: | The work provides a description of mutation testing as a method for measuring the validity of tests, as well as an analysis on the effectiveness of existing Java tools for the automation of mutation testing in the software development life cycle. |
| Subject: | Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| DOI: | 10.34626/e8z6-2d24 |
| TID identifier: | 203169301 |
| URI: | https://hdl.handle.net/10216/145174 |
| Document Type: | Dissertação |
| Rights: | restrictedAccess |
| Appears in Collections: | FEUP - Dissertação |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 591106.1.pdf Restricted Access | Mutation Testing Effectiveness - An Empirical Analysis on Java Mutation Testing Tools | 1.86 MB | Adobe PDF | View/Open |
| 591106.pdf | Mutation Testing Effectiveness - An Empirical Analysis on Java Mutation Testing Tools | 1.86 MB | Adobe PDF | ![]() View/Open |
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