Software defects estimation using metrics of early phases of software development life cycle

Chandan Kumar () and Dilip Kumar Yadav ()
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Chandan Kumar: National Institute of Technology
Dilip Kumar Yadav: National Institute of Technology

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 4, No 8, 2109-2117

Abstract: 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 accurate.

Keywords: Software defect estimation; Software metrics; Causal relationship; Qualitative data; Bayesian belief network (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-014-0326-2

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