Model for measuring quality of software in DVRS using the gap concept and fuzzy schemes with GA
作者： Chie-Bein Chen , Chin-Tsai Lin , Chun-Hsien Wang , Che-Wei Chang
DOI: 10.1016/J.INFSOF.2005.04.001
关键词:
摘要: A model of software quality is proposed to measure the in a digital video recorder system (DVRS) during its development stage. The characteristics and metrics this are adopted from ISO/IEC 9126 14598. incorporates @l-fuzzy measure, genetic algorithm hierarchical Choquet integral. It based on gap concept between perceive performance by developers satisfaction end-users, acquirers evaluators third parties checklist about used reduce DVRS as assessed that parties.
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Henri Prade, Didier DuBois, Fuzzy Sets and Systems: Theory and Applications ,(2011)
Lotfi A. Zadeh, Fuzzy sets Fuzzy sets, fuzzy logic, and fuzzy systems. pp. 394- ,(1996)
Richard A. DeMillo, Richard J. Lipton, Software Project Forecasting Defense Technical Information Center. ,(1980) , 10.21236/ADA091923
George J. Klir, Zhenyuan Wang, Fuzzy Measure Theory ,(1993)
John J. Marciniak, Encyclopedia of Software Engineering ,(1994)
M. Sugeno, FUZZY MEASURES AND FUZZY INTEGRALS—A SURVEY Morgan Kaufmann. pp. 251- 257 ,(1993) , 10.1016/B978-1-4832-1450-4.50027-4
George J. Klir, Tina A. Folger, Fuzzy Sets, Uncertainty and Information ,(1988)
George J. Klir, Zhenyuan Wang, Wei Wang, Genetic algorithms for determining fuzzy measures from data Journal of Intelligent and Fuzzy Systems. ,vol. 6, pp. 171- 183 ,(1998) , 10.5555/1316027.1316028
W. Pedrycz, L. Han, J.F. Peters, S. Ramanna, R. Zhai, Calibration of software quality: Fuzzy neural and rough neural computing approaches Neurocomputing. ,vol. 36, pp. 149- 170 ,(2001) , 10.1016/S0925-2312(00)00340-4
Dan Ralescu, Gregory Adams, The fuzzy integral Journal of Mathematical Analysis and Applications. ,vol. 75, pp. 562- 570 ,(1980) , 10.1016/0022-247X(80)90101-8