Publication Type : Journal Article
Publisher : Springer
Source : Springer
Url : https://ideas.repec.org/a/spr/ijsaem/v8y2017i4d10.1007_s13198-014-0326-2.html
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2017
Abstract : An estimation of software defects can be obtained in the later phase of software testing. However, with the aim of cost-effectiveness and timely management of resources, the software defects estimation in the early phases of software development life cycle (SDLC) is one of the major research areas. In this paper, a software defect estimation model is proposed using Bayesian belief network (BBN) and reliability relevant metrics of early phases of SDLC (e.g., requirement analysis, design and coding phases). The causal relationship of software metrics is modeled using BBN. The qualitative value of software metrics and expert assessment of software defects is used for developing the proposed model. The defects estimation accuracy of the proposed model is examined using qualitative data set of ten real software projects. The defects estimation results are compared with the existing model and found more …
Cite this Research Publication : Chandan Kumar, D. K. Yadav, “Software Defects Estimation Using Metrics of Early Phases of Software Development Life Cycle,” International Journal of System Assurance Engineering and Management, Vol. 8, Suppl. 4, pp 2109–2117, 2017. (Springer). Electronic ISSN 0976-4348 Print ISSN 0975-6809, Indexed in Scopus and Web of Science (WOS)