Automated Software Testing Using Metahurestic Technique Based on Improved Ant Algorithms for Software Testing

Abstract

Testing can never completely identify all the defects within software [1]. Instead, it furnishes a criticism or comparison that compares the state and behavior of the product against oracles principles or mechanisms by which someone might recognize a problem. These oracles may include (but are not limited to) specifications, contracts[2], comparable products, past versions of the same product, inferences about intended or expected purpose, user or customer expectations, relevant standards, applicable laws, or other criteria. 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. Aim of the current paper is to present an algorithm by applying an ant colony optimization technique, for generation of optimal and minimal test sequences for behavior specification of software. Present paper approach generates test sequence in order to obtain the complete software coverage. This paper also discusses the comparison between two Meta heuristic techniques (Genetic Algorithm and Ant Colony optimization) for transition based testing.