DocumentCode :
228416
Title :
A survey on impact of lines of code on software complexity
Author :
Bhatia, Sumit ; Malhotra, Jyoteesh
Author_Institution :
Dept. of CSE, GNDU, Jalandhar, India
fYear :
2014
fDate :
1-2 Aug. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Size is one of the important attributes of a software product. Lines of Code (SLOC or LOC) is one of the most widely used sizing metrics in industry. The amount of effort needed to maintain a software system is related to the technical quality of the source code of that system. Estimation of effort is complicated and challenging task in software industry. Project size is a measure of problem complexity in terms of effort and time required to develop the products. This paper mainly focuses on Impact of LOC on complexity. SLOC is typically used to predict the amount of effort that will be required to develop a program, as well as to estimate programming productivity or complexity once the software is produced.
Keywords :
computational complexity; software metrics; source code (software); SLOC; lines of code; problem complexity; programming productivity; project size; software complexity; software industry; software system; source code; Biological system modeling; Complexity theory; Estimation; Size measurement; Software; Software measurement; Complexity; Effort; Lines of code component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on
Conference_Location :
Unnao
ISSN :
2347-9337
Type :
conf
DOI :
10.1109/ICAETR.2014.7012875
Filename :
7012875
Link To Document :
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