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A systematic review of software development cost estimation studies

Open access
Magne Jørgensen, Martin Shepperd·2007·Brunel University Research Archive (BURA) (Brunel University London)

Abstract

This paper aims to provide a basis for the improvement of software estimation research through a systematic review of previous work. The review identifies 304 software cost estimation papers in 76 journals and classifies the papers according to research topic, estimation approach, research approach, study context and data set. A web-based library of these cost estimation papers is provided to ease the identification of relevant estimation research results. The review results combined with other knowledge provide support for recommendations for future software cost estimation research, including: 1) Increase the breadth of the search for relevant studies, 2) Search manually for relevant papers within a carefully selected set of journals when completeness is essential, 3) Conduct more studies on estimation methods commonly used by the software industry, and, 4) Increase the awareness of how properties of the data sets impact the results when evaluating estimation methods.

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Metadata

Authors
Jørgensen, M., & Shepperd, M.
Venue
Brunel University Research Archive (BURA) (Brunel University London)
Publisher
Brunel University of London
Published
2007-01-01
OpenAlex
W2151511199
Cited by
742
References
0
FWCI
25.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A systematic review of software development cost estimation studies. https://app.cochat.ai/papers/10.1109/tse.2007.3
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Jørgensen, M., & Shepperd, M. (2007). A systematic review of software development cost estimation studies. Brunel University Research Archive (BURA) (Brunel University London). https://doi.org/10.1109/tse.2007.3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.