Paper Info
Title
Minimizing the ripple effect of web-centric software by using the pheromone extension
Abstract
The ripple effect metric shows what impact changes to a software will likely have on the rest of the system. In web-based data analysis, it has become a widespread practice to deploy both the script and the program developed with a high-level programming language software tool. Due to different vendors and the diversified philosophies behind different software tools, it may be slightly difficult to cope with the ripple effect across them. This paper initiates an experimental idea to minimize the wrapper interface ripple for web-based script tools and high-level programming environments and also indicates many potential research directions for the development of computationally intelligent tools in the software engineering domain that demand lower cost and less complexity. This work incorporates Ant Colony Optimization (ACO) and its prime artifact pheromone, which has been modified as a pheromone extension module to minimize ripples when cross-coding. A standard benchmark data set has been taken to validate the performance of the proposed algorithm.
Year
DOI
Venue
2012
10.1016/j.ins.2012.01.007
Inf. Sci.
Keywords
Field
DocType
standard benchmark data set,ripple effect,web-centric software,prime artifact pheromone,different vendor,software engineering domain,high-level programming environment,high-level programming language software,different software tool,pheromone extension module,wrapper interface ripple,ant colony optimization
Software tool,Prime (order theory),Ant colony optimization algorithms,Software,Artificial intelligence,Ripple,Ripple effect,Machine learning,Mathematics
Journal
Volume
ISSN
Citations 
193,
0020-0255
0
PageRank 
References 
Authors
0.34
53
2
Name
Order
Citations
PageRank
Soumya Banerjee111629.41
Hameed Al-Qaheri2329.31