DocumentCode
2549019
Title
A novel straightforward evolutionary approach to performance evaluation
Author
Aboutalebi, Majid ; Ahmadi, Ali A.
Author_Institution
Sci. & Res. Branch, Islamic Azad Univ., Tehran, Iran
fYear
2010
fDate
16-18 April 2010
Firstpage
718
Lastpage
721
Abstract
This paper presents an evolutionary approach toward performance evaluation of business process model. Performance is a pervasive quality of software system and since vast variables are involved and affected on it, the importance of performance evaluation is irrefutable. The proposed algorithm is based on Genetic algorithm technique. A business graph was assumed and by using genetic algorithm method, the performance of business process is evaluated. The merits of our approach are using uniparameter model, simple formulas and practical algorithm to evaluate business process model. Besides, our approach has potentiality to create an optimum business model in next steps.
Keywords
business process re-engineering; genetic algorithms; graph theory; performance evaluation; business graph; business process model; genetic algorithm technique; performance evaluation; pervasive quality; software system; straightforward evolutionary approach; Genetic algorithms; Software systems; Business process; Evolutionary algorithm; Fitness function; Genetic Algorithm; Performance evaluation; combination; mutation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5477857
Filename
5477857
Link To Document