首页|Test Case Minimization in COTS Methodology Using Genetic Algorithm: A Modified Approach

Test Case Minimization in COTS Methodology Using Genetic Algorithm: A Modified Approach

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  • NETL
  • Springer Nature
In software testing， many times redundant test cases are used for a small piece of code。 Testing is a tedious task and it requires more effort and time。 Mostly numbers of defects are not uniformly distributed in COTS and defect that does not occur frequently requires more effort to remove。 So， test case minimization techniques with proper test plan are used。 In this paper， we propose a model for test case minimization in Component-Based system。 In the propose model， a soft computing technique， Genetic algorithm is added into class partitioning (Boundary Value Analysis and Partitioning Testing) to optimize fitness values in test suit generation。 To improve the performance of genetic algorithm， we also added fitness scaling in proposed algorithm。 We believe the model we have developed is an important step towards easing the process of testing COTS components。

COTSComponentCBSDFitness scalingGenetic algorithmSoftware testingTest case

Reena、Pradeep Kumar Bhatia

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GJU & ST, Hisar, Haryana, India

Hisar, Haryana, India

International conference on emerging trends in information technology

New Delhi(IN)

Proceedings of ICETIT 2019: emerging trends in information technology

219-228

2019

10.1007/978-3-030-30577-2_18