Minimizing the ripple effect of web-centric software by using the pheromone extension

  • Authors:

  • Soumya Banerjee;Hameed Al-Qaheri

  • Affiliations:

  • Department of Computer Science, Birla Institute of Technology, Mesra, Deoghar Campus, India;Department of Quantitative Methods and Information Systems, College of Business Administration, Kuwait University, Kuwait

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2012

Quantified Score

Hi-index 0.07

Visualization

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.