By Topic

How valuable is company-specific data compared to multi-company data for software cost estimation?

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wieczorek, I. ; Fraunhofer Inst. for Exp. Software Eng., Kaiserslautern, Germany ; Ruhe, M.

This paper investigates the pertinent question whether multi-organizational data is valuable for software project cost estimation. Local, company-specific data is widely believed to provide a better basis for accurate estimates. On the other hand, multi-organizational databases provide an opportunity for fast data accumulation and shared. information benefits. Therefore, this paper trades off the potential advantages and drawbacks of using local data as compared to multi-organizational data. Motivated by the results from previous investigations, we further analyzed a large cost database from Finland that collects standard cost factors and includes information on six individual companies. Each of these companies provided data for more than ten projects. This information was used to compare the accuracy between company-specific (local) and company-external (global) cost models. They show that company-specific models seem not to yield better results than the company external models. Our results are based on applying two standard statistical estimation methods (OLS-regression, analysis of variance) and analogy-based estimation.

Published in:

Software Metrics, 2002. Proceedings. Eighth IEEE Symposium on

Date of Conference: