Relative risk proneness in phases of software development: metric based approach with Cox model

Pooja Jha () and K. Sridhar Patnaik ()
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Pooja Jha: BIT Mesra
K. Sridhar Patnaik: BIT Mesra

International Journal of System Assurance Engineering and Management, 2019, vol. 10, issue 6, No 12, 1544-1554

Abstract: Abstract The software suffers from confounding effect due to defects that occurs during its entire development process. Software failure occurs due to various reasons. One of the reasons can be removal of defects at a much later stage, even though it has been detected in early phases of software development. Defect prediction has emerged as an interesting area for researchers within stipulated time period. Prediction depends mainly on the modeling of these defects and while modeling the simplest parameter used by researchers is the software size. In this paper, we showed deployment of Cox model and investigated the significance on defect prediction during various phases of development. The parameter used here is the defect count in various phases. Next, we proposed and compared two strategies for effective overall risk prediction of the projects using another proposed metric “Relative Risk Proneness Probability”. This metric is used in phases as evaluation criteria for judging the cost effectiveness of the project.

Keywords: Software defect; Defect prediction; Cox model; Relative risk proneness probability (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s13198-019-00904-8

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