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A Model for Measuring Team Size asa Surrogate for Software Development Effort

A Model for Measuring Team Size asa Surrogate for Software Development Effort
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Author(s): James Rodger (Indiana University of Pennsylvania, USA)
Copyright: 2006
Pages: 3
Source title: Emerging Trends and Challenges in Information Technology Management
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-019-6.ch213
ISBN13: 9781616921286
EISBN13: 9781466665361

Abstract

In this paper we identify a set of factors that may be used to forecast the software effort as measured in man hours. Using field data on over 1,000 field software projects from various industries, and the multiple regression model, we empirically tested the impact of development type, functional point complexity, and language type, on the software development effort. Drawing on the literature, we deduced that the same independent variables (development type, functional point complexity, and language type) could be used to predict a surrogate measure of software effort by examining team size as a dependent variable. Our results indicate that a relationship exists between the application and use of I-CASE tools, the number of functional complexity points, the number of fourth generation language types employed and the software effort. In a similar manner, a relationship was found between the application and use of I-CASE tools, the number of functional complexity points, and the number of fourth generation language types employed and the number of people assigned to a team.

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