DocumentCode :
2983522
Title :
Measuring software functional size: towards an effective measurement of complexity
Author :
De Tran-Cao ; Levesque, Ghislain ; Abran, Alain
Author_Institution :
Quebec Univ., Montreal, Que., Canada
fYear :
2002
fDate :
2002
Firstpage :
370
Lastpage :
376
Abstract :
Data manipulation, or algorithmic complexity, is not taken into account adequately in any of the most popular functional size measurement methods. In this paper, we recall some well-known methods for measuring problem complexity in data manipulation and highlight the interest in arriving at a new definition of complexity. Up to now, the concept of effort has always been associated with complexity. This definition has the advantage of dissociating effort and complexity, referring instead to the characteristics and intrinsic properties of the software itself. Our objective is to propose some simple and practical approaches to the measurement of some of these characteristics which we consider particularly relevant and to incorporate them into a functional size measurement method.
Keywords :
software cost estimation; software metrics; algorithmic complexity; complexity measurement; data manipulation; software functional size measurement; Computer languages; Engineering management; Lab-on-a-chip; Laboratories; Particle measurements; Size measurement; Software algorithms; Software engineering; Software measurement; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 2002. Proceedings. International Conference on
ISSN :
1063-6773
Print_ISBN :
0-7695-1819-2
Type :
conf
DOI :
10.1109/ICSM.2002.1167793
Filename :
1167793
Link To Document :
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