Searched for: subject%3A%22Mutation%255C%2BTesting%22
(1 - 9 of 9)
document
Agarwal, Swastik (author)
Unit testing is crucial for any software project. Writing these tests manually, however, can be quite cumbersome. To tackle this, automated testing has been growing in recent times. Unfortunately, most automated testing tools are a challenge to use. The TestCube Project intends to change that. They aim to make automated testing tools easy and...
bachelor thesis 2021
document
Panichella, A. (author), Liem, C.C.S. (author)
Mutation testing is a well-established technique for assessing a test suiteā€™s quality by injecting artificial faults into production code. In recent years, mutation testing has been extended to machine learning (ML) systems, and deep learning (DL) in particular; researchers have proposed approaches, tools, and statistically sound heuristics to...
conference paper 2021
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Zhu, Q. (author), Zaidman, A.E. (author), Panichella, A. (author)
Mutation testing is well-known for its efficacy in assessing test quality, and starting to be applied in the industry. However, what should a developer do when confronted with a low mutation score? Should the test suite be plainly reinforced to increase the mutation score, or should the production code be improved as well, to make the...
journal article 2021
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Zhu, Q. (author)
The main goal of this thesis is to investigate, improve and extend the applicability of mutation testing. To seek the potential directions of how to improve and extend the applicability of mutation testing, we have started with a systematic literature review on the current state of how mutation testing is applied. The results from the systematic...
doctoral thesis 2020
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Kifetew, Fitsum (author), Devroey, Xavier (author), Rueda, Urko (author)
We report on the results of the seventh edition of the JUnit tool competition. This year, four tools were executed on a benchmark with (i) new classes, selected from real-world software projects, and (ii) challenging classes from the previous edition. We use Randoop and manual test suites from the projects as baselines. Given the interesting...
conference paper 2019
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Zhu, Q. (author), Panichella, A. (author), Zaidman, A.E. (author)
Mutation testing has been very actively investigated by researchers since the 1970s, and remarkable advances have been achieved in its concepts, theory, technology, and empirical evidence. While the most influential realisations have been summarised by existing literature reviews, we lack insight into how mutation testing is actually applied....
journal article 2018
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Zhu, Q. (author), Zaidman, A.E. (author)
Physical computing, which builds interactive systems between the physical world and computers, has been widely used in a wide variety of domains and applications, e.g., the Internet of Things (IoT). Although physical computing has witnessed enormous realisations, testing these physical computing systems still face many challenges, such as...
conference paper 2018
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Leontiuc, Ioana (author)
Modern software is being built in a continuously integrated fashion, in order to overcome the challenges that come with developing large software systems from many contributors. The cornerstone of continuous integration is the testing step, since it is supposed to protect the system from changes that might disrupt correct behavior. Mutation...
master thesis 2017
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Zhu, Q. (author), Panichella, A. (author), Zaidman, A.E. (author)
Mutation testing is widely considered as a high-end test criterion due to the vast number of mutants it generates. Although many efforts have been made to reduce the computational cost of mutation testing, its scalability issue remains in practice. In this paper, we introduce a novel method to speed up mutation testing based on state...
conference paper 2017
Searched for: subject%3A%22Mutation%255C%2BTesting%22
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