Towards an efficient risk assessment in software projects-Fuzzy reinforcement paradigm

	Towards an efficient risk assessment in software projects-Fuzzy reinforcement paradigm
	Li, Xiong; Wang, Haoxiang; Sangaiah, Arun Kumar; Samuel, Oluwarotimi Williams; Abdel-Basset, Mohamed
刊名	COMPUTERS & ELECTRICAL ENGINEERING
	2018
文献子类	期刊论文
英文摘要	Effective prioritization of software project risks play an important role in determining whether the project will be successful in terms of performance characteristics or not. In this context, this study aims at hybridizing fuzzy multi criteria decision making approaches for the development of an assessmentframework that can be used to efficiently identify and rank notable software project risks will aid decision making during the lifecycle of a software product. Specifically, for the assessment of project risk, we have integrated fuzzy Decision Making Trial and Evaluation Laboratory, Fuzzy Multi-Criteria Decision Making and TODIM (an acronym in Portuguese for Interactive and Multiple Attribute Decision Making) approaches. The proposed methodology is used for providing an effective rating mechanism to measure software risk factors. The effectiveness of the proposed approach results have been compared with earlier methods for the assessment of software project risks. The comparison was done based on the OMRON data set of 40 software projects. Evaluation results reveal that the integration of fuzzy approaches could be effective and as well accurate compared to existing approaches for evaluating softwareproject risks.
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14888]
专题	深圳先进技术研究院_其他
推荐引用方式 GB/T 7714	Li, Xiong,Wang, Haoxiang,Sangaiah, Arun Kumar,et al. Towards an efficient risk assessment in software projects-Fuzzy reinforcement paradigm[J]. COMPUTERS & ELECTRICAL ENGINEERING,2018.
APA	Li, Xiong,Wang, Haoxiang,Sangaiah, Arun Kumar,Samuel, Oluwarotimi Williams,&Abdel-Basset, Mohamed.(2018).Towards an efficient risk assessment in software projects-Fuzzy reinforcement paradigm.COMPUTERS & ELECTRICAL ENGINEERING.
MLA	Li, Xiong,et al."Towards an efficient risk assessment in software projects-Fuzzy reinforcement paradigm".COMPUTERS & ELECTRICAL ENGINEERING (2018).