Understanding the Value of Software Engineering Technologies

  • Authors:
  • Phillip Green II;Tim Menzies;Steven Williams;Oussama El-Rawas

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

When AI search methods are applied to software process models, then appropriate technologies can be discovered for a software project. We show that those recommendations are greatly affected by the business context of its use. For example, the automatic defect reduction tools explored by the ASE community are only relevant to a subset of software projects, and only according to certain value criteria. Therefore, when arguing for the value of a particular technology, that argument should include a description of the value function of the target user community.