Title
Fuzzy cognitive map based approach for software quality risk analysis
Abstract
This paper presents a software risk prediction tool for risk analysis during the development of a software product. The term "Risk" refers to a problem that can threaten the success of the software project but has not happened yet. Risks are uncertain. The main objective of each organization is to provide very high quality software to their customers. The term "Quality" is a value to the person. But there is a long list of software risks that can have adverse impact on the quality of the software. It is necessary to address all the risks; otherwise, they may lead to undesireable results. Fuzzy Cognitive Maps (FCMs) describe different concepts with different aspects of the behaviour of complex systems. A software tool based upon FCM has been developed for assessing software risks. This paper describes the reasoning behind the focus on risk management during the software development process and its importance in delivering high quality software by assessing software risks during the development process using fuzzy cognitive maps.
Year
DOI
Venue
2011
10.1145/2047414.2047422
ACM SIGSOFT Software Engineering Notes
Keywords
Field
DocType
software project,software product,risk management,software tool,software risk,software risk prediction tool,high quality software,development process,software quality risk analysis,fuzzy cognitive,risk analysis,software development process,fuzzy cognitive maps,risk,fuzzy cognitive map,complex system,fuzzy logic,software quality
Software quality analyst,Systems engineering,Software analytics,Computer science,Software quality control,Software development process,Software metric,Software verification and validation,Software quality,Software development
Journal
Volume
Issue
Citations 
36
6
9
PageRank 
References 
Authors
0.41
18
2
Name
Order
Citations
PageRank
Nitin Bhatia11287.23
Namarta Kapoor290.74