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Publication Type : Conference Paper
Publisher : Academy of Technology (AOT)
Source : 3rd International Conference on Computer, Communication, Control and Information Technology (C3IT 2015), Academy of Technology (AOT), Adisaptagram, West Bengal, India 7-8 Feb. 2015
Campus : Amritapuri
School : School of Engineering
Department : Computer Science
Year : 2015
Abstract : Recently, Bayesian Belief Network (BBN) becomes one of the most popular choices for uncertainty modeling and has been widely used in software engineering such as defect prediction, reliability and quality prediction, testing effort prediction and software risk assessment. The Node Probability Tables (NPT) play a vital role in BBN. Failure data is not available in the early phases (i.e., phases which occur before testing phase) of software development life cycle (SDLC). However, metrics of early phases of SDLC can be assessed qualitatively. Therefore, an intelligent selection of software metrics also plays a vital role in developing a software defect prediction model using BBN. In this paper, a technique has been proposed to develop the NPT of a BBN using the qualitative value of software metrics.
Cite this Research Publication : Chandan Kumar and Dilip Kumar Yadav, “A Method for Developing Node Probability Table Using Qualitative Value of Software Metrics”, 3rd International Conference on Computer, Communication, Control and Information Technology (C3IT 2015), Academy of Technology (AOT), Adisaptagram, West Bengal, India 7-8 Feb. 2015.