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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Applying Erlang Distribution for Software Size Estimation

Applying Erlang Distribution for Software Size Estimation
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Author(s): Derek F. W. Cheung (City University of Hong Kong, China) and Ho-Leung Tsoi (Caritas Francis Hsu College, China)
Copyright: 2001
Pages: 4
Source title: Managing Information Technology in a Global Economy
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-07-5.ch081
ISBN13: 9781930708075
EISBN13: 9781466665323


The Program Evaluation and Review Technique (PERT) model is one of the most popular methods for estimating software size and, sometimes, development effort. It mainly relies on expert judgment to estimate the ultimate size of a project. However, the basic assumption of this technique may be incorrect. The issue addressed in this paper concerns the weakness of the PERT model and proposes applying Erlang distribution to tackle this problem. An example has been included to show the effectiveness of this new model.

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