Fuzzy Logic Based Group Maturity Rating for Software Performance Prediction

作     者：A.K.Verma Anil R Om Prakash Jain 

作者机构：Indian Institute of Technology BombayPowaiMumbai 400076India Larsen & Toubro Infotech LimitedPowaiMumbai 400072India 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2007年第4卷第4期

页      面：406-412页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

基　　金：The authors would like to thank Larsen & Toubro Infotech Limited  especially Mr. Sudharma Rao for providing support for the research work 

主　　题：Group maturity rating fuzzy logic fuzzy sets historical data software projects. 

摘      要：Driven by market requirements, software services organizations have adopted various software engineering process models （such as capability maturity model （CMM）, capability maturity model integration （CMMI）, ISO 9001：2000, etc.） and practice of the project management concepts defined in the project management body of knowledge. While this has definitely helped organizations to bring some methods into the software development madness, there always exists a demand for comparing various groups within the organization in terms of the practice of these defined process models. Even though there exist many metrics for comparison, considering the variety of projects in terms of technology, life cycle, etc., finding a single metric that caters to this is a difficult task. This paper proposes a model for arriving at a rating on group maturity within the organization. Considering the linguistic or imprecise and uncertain nature of software measurements, fuzzy logic approach is used for the proposed model. Without the barriers like technology or life cycle difference, the proposed model helps the organization to compare different groups within it with reasonable precision.