Software Testing using Genetic Algorithm

Testing is a process used to identify the correctness, completeness and quality of developed computer software. Testing, apart from finding errors, is also used to test performance, safety, faulttolerance or security. Testing is the most important quality assurance measure for software. Testing is time consuming and laborious process. Therefore, techniques to automatic test data generation would be useful to reduce the cost and time. Software testing is an important and valuable part of the software development life cycle. Due to time, cost and other circumstances, exhaustive testing is not feasible that’s why there is a need to automate the software testing process. Testing effectiveness can be achieved by the State Transition Testing (STT) which is commonly used in real time, embedded and web based type of software systems. The objective of this paper is to present an algorithm by applying a Genetic Algorithm Technique, for generation of optimal and minimal test sequences for behaviour specification of software. Present paper approach generates test sequence in order to obtain the complete software coverage.