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Search-Based Junit Test Case Generation of Code Using Object Instances and Genetic Algorithm SCOPUS

Pranali Prakash Mahadik, D. M. Thakore

보안공학연구지원센터(IJSEIA) International Journal of Software Engineering and Its Applications Vol.10 No.5 2016.05 pp.95-108

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

To ensure software quality software testing is done .Test data generation is one of the more expensive parts of software testing. So, for reducing software cost and development time automation of test data generation is required. The object-oriented paradigm can be challenging for generating test data, due to some aspects of its features like abstract class, encapsulation, inheritance and visibility. To reach high code coverage of object oriented code search based test data generation technique is used. Proposed approach show that how efficiency and effectiveness of search based test data generation using static analysis. System takes input as different java class files then instances are generated for that classes then generate sequence of method call for whole code coverage then using genetic algorithm which is very useful and work efficiently when there is large search space it use to reach test target and finally generate test cases in Junit format which are helpful for all developers to perform unit testing.

 
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