Dynamic Testing Of Soft Computing Techniques
DOI:
https://doi.org/10.37591/josettt.v5i1.1581Abstract
Software Testing plays an crucial role in the software development lifecycle as it is used to enhance the quality and increase the reliability of software. Software testing successfulness is always determined on the basis of generated test cases and their prioritization. So, it consumes more effort, time and cost. Today, a huge number of soft computing based approaches are available for better exactness in testing. This paper aim is to provide review of some work that has been done in the software testing area by using soft computing techniques. Based on past work, This paper will be suggesting an approach for data flow testing using PSO and ACO. This paper presents how PSO and ACO algorithm is used for optimizing in the issue of data flow testing.
Keywords: Data flow testing, particle swarm optimization (PSO), ant colony optimization (ACO), control flow graph (CFG), dominance tree
Cite this Article
Prashant Bhati, Nidhi Gulati. Dynamic Testing Using Soft Computing Techniques. Journal of Software Engineering Tools & Technology Trends. 2018; 5(1): 31–39p.
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