Search based Software Testing Technique for Structural Test Case Generation

Geethadevasena, M. S.; Valarmathi, M. L.

doi:10.5120/ijais12-450185

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Generating, running, and executing an enormous number of mutants against a test set is considered very expensive [13], time-consuming, and onerous as it requires substantial computational resources that call for large storage space. Wherefore, it is significant to save time, effort [14], and resources by using an automated, fast, and reliable mutation testing tool. Software testing, however, is a costly process, costing more than 50% of the whole development expenses.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Java Mutation Testing Tools

Park¹,

Hassan

Halim

et al. 2022

JOIV : Int. J. Inform. Visualization

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Software Testing is one of the most significant phases within the software development life cycle since software bugs can be costly and traumatic. However, the traditional software testing process is not enough on its own as some undiscovered faults might still exist due to the test cases’ inability to detect all underlying faults. Amidst the various proposed techniques of test suites’ efficiency detection comes mutation testing, one of the most effective approaches as declared by many researchers. Nevertheless, there is not enough research on how well the mutation testing tools adhere to the theory of mutation or how well their mutation operators are performing the tasks they were developed for. This research paper presents an investigative study on two different mutation testing tools for Java programming language, namely PIT and µJava. The study aims to point out the weaknesses and strengths of each tool involved through performing mutation testing on four different open-source Java programs to identify the best mutation tool among them. The study aims to further identify and compare the mutation operators of each tool by calculating the mutation score. That is, the operators’ performance is evaluated with the mutation score, with the presumption that the more prominent the number of killed mutants is, the higher the mutation score, thus the more effective the mutation operator and the affiliated tool.

show abstract

Section: Introductionmentioning

confidence: 99%

Investigation on Java Mutation Testing Tools

Park¹,

Hassan

Halim

et al. 2022

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…To uncover all potential errors in a program, detailed testing is required to examine all possible input and logical execution paths, but it is neither possible nor economically feasible. Thus, the actual goal of software testing is to increase the finding errors' probability using a limited number of test cases that perform in less time with less effort [7].…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of the State-of-art Requirements-based Test Case Generation Approaches

Mustafa¹,

Kadir²,

Ibrahim³

2017

International Journal on Advanced Science, Engineering and Information Technology

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The overall aim of software testing is to deliver the error-free and high-quality software products to the end users. The testing process ensures that a software is aligned with the user specification and requirements. In software testing process, there are many challenging tasks however test case generation process is considered as the most challenging one. The quality of the generated test cases has a significant impact on efficiency and effectiveness of the testing process. In order to improve the quality of a developed software, the test cases should be able to achieve maximum adequacy in the testing and requirements' coverage. This paper presents a comparative evaluation of the prominent requirement-based test case generation approaches. Five evaluation criteria namely, inputs for test case generation, transformation techniques, coverage criteria, time and tool's support are defined to systematically compare the approaches. The results of the evaluation are used to identify the gap in the current approaches and research opportunities in requirements-based test case's generation.

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Software Test Case Generation Tools and Techniques: A Review

Verma

Choudhary

Tiwari

2023

Int. j. math. eng. manag. sci.

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Software Industry is evolving at a very fast pace since last two decades. Many software developments, testing and test case generation approaches have evolved in last two decades to deliver quality products and services. Testing plays a vital role to ensure the quality and reliability of software products. In this paper authors attempted to conduct a systematic study of testing tools and techniques. Six most popular e-resources called IEEE, Springer, Association for Computing Machinery (ACM), Elsevier, Wiley and Google Scholar to download 738 manuscripts out of which 125 were selected to conduct the study. Out of 125 manuscripts selected, a good number approx. 79% are from reputed journals and around 21% are from good conference of repute. Testing tools discussed in this paper have broadly been divided into five different categories: open source, academic and research, commercial, academic and open source, and commercial & open source. The paper also discusses several benchmarked datasets viz. Evosuite 10, SF100 Corpus, Defects4J repository, Neo4j, JSON, Mocha JS, and Node JS to name a few. Aim of this paper is to make the researchers aware of the various test case generation tools and techniques introduced in the last 11 years with their salient features.

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Search based Software Testing Technique for Structural Test Case Generation

Cited by 3 publications

References 13 publications

Investigation on Java Mutation Testing Tools

Investigation on Java Mutation Testing Tools

Comparative Evaluation of the State-of-art Requirements-based Test Case Generation Approaches

Software Test Case Generation Tools and Techniques: A Review

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