DocumentCode :
1852597
Title :
An Empirical Study of Source Level Complexity
Author :
Liu Xiao
Author_Institution :
Fac. of Sci., Chulalongkorn Univ., Bangkok, Thailand
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
1991
Lastpage :
1994
Abstract :
Software metrics are developed and used by the various software organizations for evaluating and assuring software source code quality, operation, and maintenance. Software metrics measure various types of software complexity like source size, control flow and data flow metrics. Software metrics can be used in different phases of the software development lifecycle. This paper proposes a novel source level complexity evaluation method by using different metrics included in programs written in different programming languages. Experiments show that source codes written in compiled languages have greater complexity than those written in interpreted languages.
Keywords :
program compilers; program interpreters; programming languages; software metrics; compiled languages; interpreted languages; programming languages; software complexity; software development lifecycle; software metrics; software organizations; software source code maintenance; software source code operation; software source code quality; source level complexity evaluation method; Complexity theory; Flow graphs; Java; Measurement; Software; Standards; compiled language; interpreted language; software metrics; source code complexity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.520
Filename :
6643439
Link To Document :
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