A survey of computational intelligence approaches for software reliability prediction

Authors:
Manmath Kumar Bhuyan;Durga Prasad Mohapatra;Srinivas Sethi
Affiliations:
Bhadrak Institute of Engg and Technology, Bhadrak, India;National Institute of Technology, Rourkela, India;Indira Gandhi Institute of Technology, Sarang, India
Venue:
ACM SIGSOFT Software Engineering Notes
Year:
2014

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Abstract

Computational Intelligence has been known to be very useful in predicting software reliability. In this paper, two kinds of investigations are performed. First, we provide a systematic review of Software Reliability Prediction studies with consideration of various metrics, methods and CI techniques (including fuzzy logic, neural networks, genetic algorithms). Second, reliability prediction and data collection with the help of various available tools are discussed. The overall idea of this paper is to present, analyze, investigate, compare and discuss software reliability prediction with various CI techniques and tools and their advantages and disadvantages.