An early software-quality classification based on improved grey relational classifier

Expert Systems with Applications

Volumn 36, Issue 7, 2009, Pages 10727-10734

  Chiu, Nan Hsing ^a  

^a CHING YUN UNIVERSITY   (Taiwan)

Author keywords

Decision support systems; Grey relational analysis; Particle swarm optimization; Software quality classification

Indexed keywords

BEST FITS; CLASSIFICATION AND REGRESSION TREES; DATA SETS; DEVELOPMENT CYCLES; EMPIRICAL RESULTS; FAULT-PRONE MODULES; GREY RELATIONAL ANALYSIS; GREY SYSTEM THEORIES; INCOMPLETE INFORMATIONS; MEDICAL INFORMATION SYSTEMS; MISCLASSI-FICATION RATES; POTENTIAL BENEFITS; SMALL SAMPLES; SOFTWARE DEVELOPMENT PROCESS; SOFTWARE ENHANCEMENTS; SOFTWARE METRICS; SOFTWARE-QUALITY CLASSIFICATION;

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; COMPUTER SOFTWARE SELECTION AND EVALUATION; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; LEARNING SYSTEMS; SYSTEM THEORY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67349229249     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.02.064     Document Type: Article

References (26)

1. Chang J.R., Hung C.T., Tzeng G.H., and Lin J.D. Non-additive grey relational model: case study on evaluation of flexible pavement. Proceedings of the IEEE International Conference on Fuzzy Systems (2004) 577-582
2. Chang C.L., Tsai C.H., and Chen L. Applying grey relational analysis to the decathlon evaluation model. International Journal of the Computer, the Internet and Management 11 3 (2003) 54-62
3. Chang W.C., Wen K.L., Chen H.S., and Chang T.C. The selection model of pavement material via grey relational grade. Proceeding of the IEEE International Conference on Systems, Man, and Cybernetics (2000) 3388-3391
4. Chiu N.H., and Huang S.J. The adjusted analogy-based software effort estimation based on similarity distances. Journal of Systems and Software 80 (2007) 628-640
5. Deng J. Control problem of grey systems. Systems and Control Letters 1 5 (1982) 1982
6. Garcia M.N.M., Roman I.R., Penalvo F.J.G., and Bonilla M.T. An association rule mining method for estimating the impact of project management policies on software quality development time and effort. Expert Systems with Applications 34 (2008) 522-529
7. Huang S.J., Chiu N.H., and Chen L.W. Integration of the grey relational analysis with genetic algorithm for software effort estimation. European Journal of Operational Research 188 (2008) 898-909
8. Jiang B.C., Tasi S.L., and Wang C.C. Machine vision-based gray relational theory applied to IC marking inspection. IEEE Transactions on Semiconductor Manufacturing 15 4 (2002) 531-539
9. Kennedy J., and Eberhart R. Particle swarm optimization. Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth (1995) 1942-1948
10. Khan M.J., Shamail S., Awais M.M., and Hussain T. Comparative study of various artificial intelligence techniques to predict software quality. IEEE Multitopic Conference (2006) 173-177
11. Khoshgoftaar T.M., Allen E.B., Jones W.D., and Hudepohl J.P. Classification tree models of software-quality over multiple releases. IEEE Transactions on Reliability 49 1 (2000) 4-11
12. Khoshgoftaar T.M., and Seliya N. Analogy-based practical classification rules for software quality estimation. Empirical Software Engineering 8 (2003) 325-350
13. Khoshgoftaar T.M., and Seliya N. Comparative assessment of software quality classification techniques: An empirical case study. Empirical Software Engineering 9 (2004) 229-257
14. Lin Z.C., and Ho C.Y. Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters. The International Journal of Advanced Manufacturing Technology 21 (2003) 10-14
15. Lin W.M., Huang C.H., Lin C.H., Chen C.M., and Wang L.W. Restoration strategy for secondary power network with grey relational analysis. Generation, Transmission & Distribution, IET 2 2 (2008) 167-174
16. Liu, Y., Zhu, X., Zhang, J., Wang, S. (2004). Application of particle swarm optimization algorithm for weighted fuzzy rule-based system. In The 30th annual conference of the ieee industrial electronics society (pp. 2188-2191).
17. Lu M., and Wevers K. Application of grey relational analysis for evaluating road traffic safety measures: Advanced driver assistance systems against infrastructure redesign. Intelligent Transport Systems 1 1 (2007) 3-14
18. Lyu, M.R. (1996). Handbook of software reliability engineering. IEEE Computer Society Press and McGraw-Hill Book Company.
19. Maitra M., and Chatterjee A. A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding. Expert Systems with Applications 34 (2008) 1341-1350
20. Medeiros J.A.C.C., and Schirru R. Identification of nuclear power plant transients using the particle swarm optimization algorithm. Annals of Nuclear Energy 35 (2008) 576-582
21. Myrtveit I., Stensrud E., and Shepperd M. Reliability and validity in comparative studies of software prediction models. IEEE Transactions on Software Engineering 31 5 (2005) 380-391
22. Rodriguez, D., Ruiz, R., Cuadrado-Gallego, J., Aguilar-Ruiz, J. & Garre, M. (2007). Attribute selection in software engineering datasets for detecting fault modules. In 33rd EUROMICRO conference on software engineering and advanced applications (SEAA 2007).
23. Sha D.Y., and Hsu C.Y. A new particle swarm optimization for the open shop scheduling problem. Computers & Operations Research 35 (2008) 3243-3261
24. Wang X., Yang J., Teng X., Xia W., and Jensen R. Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters 28 (2007) 459-471
25. Yisu J., Knowles J., Hongmei L., Yizeng L., and Kell D.B. The landscape adaptive particle swarm optimizer. Applied Soft Computing 8 (2008) 295-304
26. Zhang J.R., Zhang J., Lok T.M., and Lyu M.R. A hybrid particle swarm optimization back-propagation algorithm for feed forward neural network training. Applied Mathematics and Computation 185 (2007) 1026-1037