Speeding-Up Mutation Testing via Data Compression and State Infection

Zhu, Qiuping; Panichella, Annibale; Zaidman, Andy

doi:10.1109/icstw.2017.25

Cited by 9 publications

(1 citation statement)

References 18 publications

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“…Similarly, Just et al [196] proposed using the fastest test cases first and Zhu et al [197] selected pairs of mutants and test cases to run together based on the similarity of mutants and test cases (identified by data-compression techniques).…”

Section: Mutant Execution (Step 5)mentioning

confidence: 99%

Mutation Testing Advances: An Analysis and Survey

Papadakis

Kintis

Zhang

et al. 2019

Advances in Computers

357

343

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Mutation testing realises the idea of using artificial defects to support testing activities. Mutation is typically used as a way to evaluate the adequacy of test suites, to guide the generation of test cases and to support experimentation.Mutation has reached a maturity phase and gradually gains popularity both in academia and in industry. This chapter presents a survey of recent advances, over the past decade, related to the fundamental problems of mutation testing and sets out the challenges and open problems for the future development of the method. It also collects advices on best practices related to the use of mutation in empirical studies of software testing. Thus, giving the reader a 'mini-handbook'-style roadmap for the application of mutation testing as experimental methodology.

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Section: Mutant Execution (Step 5)mentioning

confidence: 99%

Mutation Testing Advances: An Analysis and Survey

Papadakis

Kintis

Zhang

et al. 2019

Advances in Computers

357

343

View full text Add to dashboard Cite

show abstract

Possibility of cost reduction by mutant clustering according to the clustering scope

2018

Software Testing Verif & Rel

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Summary Mutation testing offers developers a good way to improve the quality of a test set. However, the high cost of executing a large number of mutants remains an issue. This paper examines the possibility of reducing the cost of statement‐level mutant clustering by comparing the number of mutant executions with those of expression‐level and block‐level mutant clustering. The goal is to investigate to what extent the clustering scope should be extended. The experimental results using nine real‐world programs show that statement‐level clustering can reduce the mutant executions that are required by expression‐level clustering by 10.51% on average. Block‐level clustering exhibits an unexpected result; the number of mutant executions with block‐level clustering is only 1.06% times less than that with statement‐level clustering. That is, statement‐level clustering is more cost‐effective than block‐level clustering when considering their clustering overheads. A compound expression plays a major role in providing a cost‐reduction effect in statement‐level clustering. With a compound expression, the number of candidate mutants to be clustered in a statement scope increases, and state change can be comprehensively examined, thereby increasing the possibility of cost reduction. © 2018 John Wiley & Sons, Ltd.

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The Framework for Android Apps Testing using Mutation Technique

Javed

Ibrahim

Wahab

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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This paper presents the framework for Android apps testing using mutation technique. A systematic comparative analysis is done based on various approaches and techniques formutation testing. The analysis examines the development of research on this subject and its inspiring objectives and practices. Using comparative analysis, the framework exhibits that Android mutation testing can create assessment cases that are very efficient at distinguishing both naturally happening errors and crowd-sourced errors for Android apps. The framework can be used as a basis to test the Android apps using mutation technique.

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Speeding-Up Mutation Testing via Data Compression and State Infection

Cited by 9 publications

References 18 publications

Mutation Testing Advances: An Analysis and Survey

Mutation Testing Advances: An Analysis and Survey

Possibility of cost reduction by mutant clustering according to the clustering scope

The Framework for Android Apps Testing using Mutation Technique

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