@article{(Open Science Index):https://publications.waset.org/pdf/10012279,
	  title     = {Software Product Quality Evaluation Model with Multiple Criteria Decision Making Analysis},
	  author    = {C. Ardil},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a software product quality evaluation model based on the ISO/IEC 25010 quality model. The evaluation characteristics and sub characteristics were identified from the ISO/IEC 25010 quality model. The multidimensional structure of the quality model is based on characteristics such as functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability, and associated sub characteristics. Random numbers are generated to establish the decision maker’s importance weights for each sub characteristics. Also, random numbers are generated to establish the decision matrix of the decision maker’s final scores for each software product against each sub characteristics. Thus, objective criteria importance weights and index scores for datasets were obtained from the random numbers. In the proposed model, five different software product quality evaluation datasets under three different weight vectors were applied to multiple criteria decision analysis method, preference analysis for reference ideal solution (PARIS) for comparison, and sensitivity analysis procedure. This study contributes to provide a better understanding of the application of MCDMA methods and ISO/IEC 25010 quality model guidelines in software product quality evaluation process.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {14},
	  number    = {12},
	  year      = {2020},
	  pages     = {486 - 502},
	  ee        = {https://publications.waset.org/pdf/10012279},
	  url   	= {https://publications.waset.org/vol/168},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 168, 2020},
	}