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  1. Proceedings of the 10th International Conference on Predictive Models in Software Engineering (PROMISE '14)
  2. Effort estimation in agile software development: a systematic literature review
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A proposed method to evaluate and compare fault predictions across studies
Feature weighting techniques for CBR in software effort estimation studies: a review and empirical evaluation
Benchmarking effort estimation models using archetypal analysis
Defect prediction and software risk
On the influence of maintenance activity types on the issue resolution time
Exploiting prior-phase effort data to estimate the effort for the subsequent phases: a further assessment
Social metrics included in prediction models on software engineering: a mapping study
Analysing defect inflow distribution of automotive software projects
The potential benefit of relevance vector machine to software effort estimation
Effort estimation in agile software development: a systematic literature review

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Effort estimation in agile software development: a systematic literature review

Content Provider ACM Digital Library
Author Britto, Ricardo Usman, Muhammad Mendes, Emilia Weidt, Francila
Abstract Context: Ever since the emergence of agile methodologies in 2001, many software companies have shifted to Agile Software Development (ASD), and since then many studies have been conducted to investigate effort estimation within such context; however to date there is no single study that presents a detailed overview of the state of the art in effort estimation for ASD. Objectives: The aim of this study is to provide a detailed overview of the state of the art in the area of effort estimation in ASD. Method: To report the state of the art, we conducted a systematic literature review in accordance with the guidelines proposed in the evidence-based software engineering literature. Results: A total of 25 primary studies were selected; the main findings are: i) Subjective estimation techniques (e.g. expert judgment, planning poker, use case points estimation method) are the most frequently applied in an agile context; ii) Use case points and story points are the most frequently used size metrics respectively; iii) MMRE (Mean Magnitude of Relative Error) and MRE (Magnitude of Relative Error) are the most frequently used accuracy metrics; iv) team skills, prior experience and task size are cited as the three important cost drivers for effort estimation in ASD; and v) Extreme Programming (XP) and SCRUM are the only two agile methods that are identified in the primary studies. Conclusion: Subjective estimation techniques, e.g. expert judgment-based techniques, planning poker or the use case points method, are the one used the most in agile effort estimation studies. As for the size metrics, the ones that were used the most in the primary studies were story points and use case points. Several research gaps were identified, relating to the agile methods, size metrics and cost drivers, thus suggesting numerous possible avenues for future work.
Starting Page 82
Ending Page 91
Page Count 10
File Format PDF
ISBN 9781450328982
DOI 10.1145/2639490.2639503
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-09-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Agile software development Effort estimation Systematic literature review
Content Type Text
Resource Type Article
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