Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/33015
Title: “Estimating Software Project Effort Using Analogies”: Reflections After 28 Years
Authors: Shepperd, M
Keywords: prediction;project management;effort prediction;analogical reasoning;empirical validation;reproducibility;software engineering (cs.SE)
Issue Date: 27-Jan-2026
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Shepperd, M. (2025) '“Estimating Software Project Effort Using Analogies”: Reflections After 28 Years', IEEE Transactions on Software Engineering, 51 (3), pp. 778–782. doi: 10.1109/tse.2025.3534032.
Abstract: This invited paper is the result of an invitation to write a retrospective article on a “TSE most influential paper” as part of the journal's 50th anniversary. The objective is to reflect on the progress of software engineering prediction research using the lens of a selected, highly cited research paper and 28 years of hindsight. The paper examines (i) what was achieved, (ii) what has endured and (iii) what could have been done differently with the benefit of retrospection. While many specifics of software project effort prediction have evolved, key methodological issues remain relevant. The original study emphasised empirical validation with benchmarks, out-of-sample testing and data/tool sharing. Four areas for improvement are identified: (i) stronger commitment to Open Science principles, (ii) focus on effect sizes and confidence intervals, (iii) reporting variability alongside typical results and (iv) more rigorous examination of threats to validity.
Description: A version of the article is available at arXiv:2501.14582v2 [cs.SE] (https://arxiv.org/abs/2501.14582). Comments: 5 pages, invited and accepted IEEE TSE paper for the journal's 50th year anniversary on most influential papers. (This version corrects three typos.). Submission history From: Martin Shepperd: [v1] Fri, 24 Jan 2025 15:44:25 UTC (14 KB); [v2] Thu, 30 Jan 2025 16:44:38 UTC (14 KB).
URI: https://bura.brunel.ac.uk/handle/2438/33015
DOI: https://doi.org/10.1109/tse.2025.3534032
ISSN: 0098-5589
Other Identifiers: ORCiD: Martin Shepperd https://orcid.org/0000-0003-1874-6145
Appears in Collections:Department of Computer Science Research Papers

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