DocumentCode :
2127050
Title :
A large-scale empirical study on the cognitive complexity of software
Author :
Chiew, Vincent ; Wang, Yingxu
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
fYear :
2010
fDate :
2-5 May 2010
Firstpage :
1
Lastpage :
4
Abstract :
There are many measures for software complexities in software engineering. An emerging developer-oriented measure is recently developed known as the cognitive complexity from the field of cognitive informatics and cognitive computing. This paper describes an empirical approach using a Software Cognitive Complexity Analysis Tool (SCCAT) to analyze a comprehensive set of real-world software system programs. Practical and quantifiable results of the cognitive complexity measure are then presented. Additional characteristics of cognitive complexity measure are described that provide insights into human cognition in software engineering.
Keywords :
computational complexity; software engineering; SCCAT; cognitive complexity analysis tool; large scale empirical study; software cognitive complexity; software engineering; software system programs; Complexity theory; Humans; Java; Libraries; Software; Software engineering; Software measurement; Software engineering; cognitive complexity; comparative studies; empirical studies; measurement; metics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2010 23rd Canadian Conference on
Conference_Location :
Calgary, AB
ISSN :
0840-7789
Print_ISBN :
978-1-4244-5376-4
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2010.5575116
Filename :
5575116
Link To Document :
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