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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제7권 제3호
- 발행연도
- 2011.1
- 수록면
- 473 - 518 (46page)
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초록· 키워드
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Software measurement is a key factor in managing, controlling, and improving the software development processes. Software quality is one of the most important factors for assessing the global competitive position of any software company. Thus the quantification of quality parameters and integrating them into quality models is very essential. Software quality criteria are not very easily measured and quantified. Many attempts have been made to exactly quantify the software quality parameters using various models such as ISO/IEC 9126 Quality Model, Boehm’s Model, McCall’s model, etc. In this paper an attempt has been made to provide a tool for precisely quantifying software quality factors with the help of quality factors stated in ISO/IEC 9126 model. Due to the unpredictable nature of the software quality attributes, the fuzzy multi criteria approach has been used to evolve the quality of the software.
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참고문헌 (23)
참고문헌 신청
/ / ISO/IEC 9126-1:2001, Software Engineering-Product Quality?Part 1: Quality Model
A. Sharma / 2008 / Estimation of Quality for Software Components - an Empirical Approach / ACM SIGSOFT Software Engineering Notes 33 (5) : 1 ~ 10
B. W. Boehm / 1976 / Quantitative Evaluation of Software Quality / Proceedings of the 2nd International Conference on Software Engineering, San Francisco, CA, USA : 592 ~ 605
B. Yang / 2007 / Early Software Quality Prediction Based on a Fuzzy Neural Network Model / Innovative Computing, Information and Control, Washington DC, USA : 760 ~ 764
C. W. Chang / 2008 / Integrating fuzzy theory and hierarchyconcepts to evaluate software quality / Software Quality Journal 16 (2) : 263 ~ 276
A. Sharma / 2008 / Estimation of Quality for Software Components - an Empirical Approach / ACM SIGSOFT Software Engineering Notes 33 (5) : 1 ~ 10
B. W. Boehm / 1976 / Quantitative Evaluation of Software Quality / Proceedings of the 2nd International Conference on Software Engineering, San Francisco, CA, USA : 592 ~ 605
B. Yang / 2007 / Early Software Quality Prediction Based on a Fuzzy Neural Network Model / Innovative Computing, Information and Control, Washington DC, USA : 760 ~ 764
C. W. Chang / 2008 / Integrating fuzzy theory and hierarchyconcepts to evaluate software quality / Software Quality Journal 16 (2) : 263 ~ 276
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