DocumentCode :
2873598
Title :
Process control-flow complexity metric: An empirical validation
Author :
Cardoso, Jorge
Author_Institution :
Dept. of Math. & Eng., Madeira Univ., Funchal
fYear :
2006
fDate :
18-22 Sept. 2006
Firstpage :
167
Lastpage :
173
Abstract :
Organizations are increasingly faced with the challenge of managing business processes, workflows, and, recently, Web processes. One important aspect of processes that has been overlooked is their complexity. High complexity in processes may result in bad understandability, errors, defects, and exceptions leading processes to need more time to develop, test, and maintain. Therefore, excessive complexity should be avoided. This paper describes an experiment designed to validate the control-flow complexity (CFC) metric that we have proposed in our previous work. In order to demonstrate that our CFC metric serves the purpose it was defined for, we have carried out an empirical validation by means of a controlled experiment. The explanation of the steps followed to do the experiment, the results, and the conclusions obtained are the main objectives of this paper
Keywords :
business data processing; organisational aspects; software metrics; Web processes; business processes managment; process control-flow complexity metric; workflow management; Business process re-engineering; Engineering management; Frequency; Mathematics; Process control; Process design; Project management; Software engineering; Software measurement; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2006. SCC '06. IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-2670-5
Type :
conf
DOI :
10.1109/SCC.2006.82
Filename :
4026918
Link To Document :
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