2013 Fiscal Year Final Research Report

A Quality Prediction Method using Rayleigh Model

Research Project

Project/Area Number	23700042
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Multi-year Fund
Research Field	Software
Research Institution	Toyo University
Principal Investigator	NONAKA MAKOTO 東洋大学, 経営学部, 准教授 (30318787)
Project Period (FY)	2011 – 2013
Keywords	ソフトウェア品質 / 欠陥予測 / レイリーモデル
Research Abstract	Rayleigh Model is a statistical model which can be used to estimate total software defects injected during software development projects. However, it sometimes produces contradictory estimations, that is, actual total defects exceeds an estimation result. This study proposed a conditional probability based method to predict total software defects. The result showed that the method produced no contradiction and improved estimation errors. This study also analyzed factors which influenced software defect prediction in terms of defect injection phases and leakage in unit testing. The result showed that possibility of specification changes has an impact on defect injection in architecture design phase, requirements difficulty influences on defect injection on detailed design, and module size influences on leakage in unit testing.