Evolutionary Cost-cognizant Test Case Selection and Prioritization for Object-Oriented Programs | Zendy

Abdulkarim Bello | Zendy; Abu Bakar Md Sultan | Zendy; Abdul Ghani | Zendy; Hazura Zulzalil | Zendy

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Evolutionary Cost-cognizant Test Case Selection and Prioritization for Object-Oriented Programs

Author(s) -

Abdulkarim Bello,

Abu Bakar Md Sultan,

Abdul Ghani,

Hazura Zulzalil

Publication year - 2019

Publication title -

international journal of engineering and advanced technology

Language(s) - English

Resource type - Journals

ISSN - 2249-8958

DOI - 10.35940/ijeat.f1024.0986s319

Subject(s) - regression testing , computer science , test management approach , test suite , risk based testing , white box testing , non regression testing , test case , model based testing , test strategy , integration testing , keyword driven testing , manual testing , unit testing , reliability engineering , data mining , software , machine learning , software development , regression analysis , software construction , programming language , engineering

Test case prioritization (TCP) is a software testing technique that finds an ideal ordering of test cases for regression testing, so that testers can obtain the maximum benefit of their test suite, even if the testing process is stop at some arbitrary point. The recent trend of software development uses OO paradigm. This paper proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing. Path-based integration testing will identify the possible execution path and extract these paths from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the severity detection per unit cost for each of the dependent faults. The proposed technique was known as Evolutionary Cost-Cognizant Regression Test Case Prioritization (ECRTP) and being implemented as regression testing approach for experiment.

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