Computer Science – Software Engineering
Scientific paper
2011-06-14
Computer Science
Software Engineering
Electronic System Design (ISED), 2010 International Symposium on Issue Date: 20-22 Dec. 2010 On page(s): 235 - 240 Location: B
Scientific paper
10.1109/ISED.2010.52
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. 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 metaheuristic techniques (Genetic Algorithm and Ant Colony optimization) for transition based testing
Baby Km
Srivastava Praveen Ranjan
No associations
LandOfFree
Automated Software Testing Using Metahurestic Technique Based on An Ant Colony Optimization does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Automated Software Testing Using Metahurestic Technique Based on An Ant Colony Optimization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated Software Testing Using Metahurestic Technique Based on An Ant Colony Optimization will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-113644