State Based Problem Using Evolutionary Technique: Test Data Generation for Object Oriented Systems in presence

Test Data Generation

Software testing may defined as the process of executing a software system to determine wether the system work according to our need and provide desired output. Unlike static verification and validation approaches where software source code is the object of analysis, testing requires an executable. Testing is important in development of any software. The quality of any software product is checked and ensured through the testing. Testing object oriented-software is slightly different than the traditional once. The data is object oriented is wrapped with behaviour. The generation of test cases is a time consuming and error prone process because it is done by manually. To automate this process, search-based software testing offers a possible solution, which is based on meta-heuristic search techniques, evolutionary algorithm etc. The focus of this paper is test data generation approaches for object-oriented software using evolutionary algorithms. To reach to a research proposal in test data generation approaches for object-oriented software, we begin, in section 2- give brief introduction about Unit Testing of Conventional Procedure-Oriented Software This is followed by an introduction to the object-oriented software testing, , in section 3.In section 4, explain the different search techniques used in test data generation for object oriented systems. In section 5, give the introduction about genetic algorithm so that we can use in object oriented system. Section 6 and 7, motivation and research objective is describes. Finally, the conclusion is outlined in last section.

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