Please use this identifier to cite or link to this item: 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

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