Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

6-2012

Abstract

We describe how we studied, in-situ, the operational processes of three large high process maturity distributed software development companies and discovered three common problems they faced with respect to early stage project cost estimation. We found that project managers faced significant challenges to accurately estimate project costs because the standard metrics-based estimation tools they used (a) did not effectively incorporate diverse distributed project configurations and characteristics, (b) required comprehensive data that was not fully available for all starting projects, and (c) required significant domain experience to derive accurate estimates. To address these challenges, we collaborated with practitioners at the three firms and developed a new learning-oriented and semi-automated early-stage cost estimation solution that was specifically designed for globally distributed software projects. The key idea of our solution was to augment the existing metrics-driven estimation methods with a case repository that stratified past incidents related to project effort estimation issues from the historical project databases at the firms into several generalizable categories. This repository allowed project managers to quickly and effectively “benchmark” their new projects to all past projects across the firms, and thereby learn from them. We deployed our solution at each of our three research sites for real-world field-testing over a period of six months. Project managers of 219 new large globally distributed projects used both our method to estimate the cost of their projects as well as the established metrics-based estimation approaches they were used to. Our approach achieved significantly reduced estimation errors (of up to 60%). This resulted in more than 20% net cost savings, on average, per project - a massive total cost savings across all projects at the three firms!

Keywords

Globally distributed software development, software engineering economics, cost estimation, case-basedreasoning, analogies, project management, learning.

Discipline

Databases and Information Systems | Software Engineering

Research Areas

Information Systems and Management

Publication

Proceedings of the 34th International Conference on Software Engineering (ICSE), Zurich, Switzerland, 2012 June 2-9

First Page

91

Last Page

101

ISBN

9781467310666

Identifier

10.1109/ICSE.2012.6227203

Publisher

IEEE

City or Country

New York

Additional URL

https://doi.org/10.1109/ICSE.2012.6227203

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