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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.