Paper Info
Title
Cognitive complexity metrics and its impact on software reliability based on cognitive software development model
Abstract
Software metrics provide a quantitative basis for the development and validation of models of software development process. Information gained from metrics is used in managing the development process in order to improve the reliability and quality of software product. The software metric is used to estimate various parameters of software development lifecycle such as cost, schedule productivity, quality and reliability. In this paper, an attempt has been made to frame the cognitive complexity metrics that will aid in increasing the reliability of software product being developed during the development lifecycle.
Year
DOI
Venue
2006
10.1145/1118537.1118544
ACM SIGSOFT Software Engineering Notes
Keywords
Field
DocType
software metrics,cognitive complexity metrics,software development lifecycle,cognitive software inspection process,schedule productivity,cognitive requirement engineering,software development process,metacognition,cognitive documentation complexity,software product,software reliability,software metric,quantitative basis,development process,cognitive software development model,development lifecycle,cognitive complexity,information gain,requirement engineering,software inspection,software development
Personal software process,Software engineering,Systems engineering,Computer science,Package development process,Software reliability testing,Software development process,Software metric,Software construction,Software verification and validation,Reliability engineering,Software development
Journal
Volume
Issue
Citations 
31
2
13
PageRank 
References 
Authors
0.67
6
2
Name
Order
Citations
PageRank
Dharmender Singh Kushwaha111515.23
Arun K. Misra213813.16