Skip to main content
Article thumbnail
Location of Repository

Understanding the Value of Software Engineering Technologies

By Phillip Green Ii, Tim Menzies, Steven Williams and Oussama El-rawas

Abstract

SEESAW combines AI search tools, a Monte Carlo simulator, and some software process models. We show here that, when selecting technologies for a software project, SEESAW out-performs a variety of other search engines. SEESAW’s 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. 1

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.8361
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://menzies.us/pdf/09value.... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.