Software Reliability In Software Engineering

537 Words2 Pages

Study of Literature for related work is the most important step in software development process. Before designing and developing the tool it is necessary to determine the time factor, the economy and company strength. Considering the importance of software reliability in software engineering, its prediction becomes a very fundamental issue. Machine learning and soft computing techniques have been leading the statistical techniques in last two decades as far as their applications to software engineering are concerned. The most recent research work carried out for predicting software reliability was Hybrid intelligent systems for predicting software reliability [1] Mohanty et al. (2013). The author has employed recurring architecture for Genetic Programming and Group Method of Data Handling (GMDH) and also collaborative models involving GP, GMDH as constituents and GP, GMDH, BPNN and Average as arbitrators in predicting software reliability. Another state-of-the-art review [2] Mohanty et al. (2010) validates the affirmation. The techniques that were employed by the authors were machin...

Open Document