Empirical evaluation and prediction of software quality using software inspection소프트웨어 인스펙션을 이용한 소프트웨어 품질의 실험적 평가와 예측

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Software quality is determined by the degree of failures generated during operation. Software fails when the remaining software defects are activated. Therefore, the number of remaining defects is an important measure of software quality and developers have to eliminate and minimize the remaining defects to improve effectively the quality. To minimize defects and improve software quality cost-effectively, there are two points to be specially considered. First, Defects have to be eliminated as early as possible after their birth. If any defects are introduced and passed to next development phase, the cost of finding and fixing them is highly increasing. Second, more concerns about the troublesome components must be paid because the errors tend to cluster to specific components rather than being evenly distributed. Defect detection aims at finding software defects early in the development process to reduce the costs of removing defects and the number of operational failures at last. The prediction of troublesome components is to provide software managers with a forecast of the quality of the operational software, and to flag components for detailed validation whose predicated factor values are grater than the target values. Error detection method and quality prediction model are well known to practitioners and researchers as a promising method to improve quality cost-effectively. However, there are two areas that have been neglected: comparative evaluations of software inspection with other error detection methods and qualitative quality prediction model using software inspection data. In this dissertation, we conducted two inspection experiments for comparing inspection with various defect detection methods under the identical environment and with the same program. Analysis of these empirical data presents the error detection capability and cost-effectiveness among them. And we then suggest an efficient qualitative quality prediction method and evaluate it with ...
Advisors
Kwon, Young-RaeresearcherCha, Sung-Deokresearcher권용래researcher차성덕researcher
Description
한국과학기술원 : 전산학전공,
Publisher
한국과학기술원
Issue Date
2001
Identifier
165883/325007 / 000935186
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전산학전공, 2001.2, [ vi, 82 p. ]

Keywords

Quality Prediction; Testing; Software Quality; 소프트웨어 인스펙션; 오류 검출 방법; 품질 예측; 테스팅; 소프트웨어 품질; Software Inspection; Error Detection Methods

URI
http://hdl.handle.net/10203/33187
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=165883&flag=dissertation
Appears in Collection
CS-Theses_Ph.D.(박사논문)
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