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The relationship between software development team size and software development cost

Authors:

Parag C. Pendharkar,

James A. RodgerAuthors Info & Claims

Communications of the ACM, Volume 52, Issue 1

Pages 141 - 144

https://doi.org/10.1145/1435417.1435449

Published: 01 January 2009 Publication History

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References

[1]

Angelis, L, Stamelos, I., and Morisio, M. Building a software cost estimation model based on categorical data. Proceedings of Seventh International Software Metrics Symposium, London, UK, 2001, 4--15.

Digital Library

Google Scholar

[2]

Banker, R. D., Charnes, A. and Cooper, W. W. Some models for estimating technical and scale inefficiencies in DEA. Management Science 20, 9 (1984), 1078--1092.

Google Scholar

[3]

Banker, R. D. and Kemerer, C. F. Scale economies in new software development. IEEE Transactions on Software Engineering 15,10 (1989), 1199--1205.

Digital Library

Google Scholar

[4]

Banker, R. and Slaughter, S. A field study of scale economies in software maintenance. Management Science 43,12 (1997), 1709--1725.

Digital Library

Google Scholar

[5]

Biffl, S. and Gutjahr, W. Influence of team size and defect detection technique on inspection effectiveness. Proceedings of Seventh International Software Metrics Symposium, London, UK, 2001, 63--75.

Digital Library

Google Scholar

[6]

Brooks, F. The Mythical Man-Month. Addison-Wesley. Reading, MA, 1975.

Digital Library

Google Scholar

[7]

Charnes, A., Cooper, W. W., and Rhodes, E. Evaluating program and managerial efficiency: An application of data envelopment analysis to program follow through. Management Science 27, 6, (1981), 668--697.

Digital Library

Google Scholar

[8]

Faraj, S. and Sproull, L. Coordinating expertise in software development teams. Management Science 46,12, (2000), 1554--1568.

Digital Library

Google Scholar

[9]

Fried, L. Team size and productivity in systems development. Journal of Information Systems Management, 8, 3, (1991), 27--41.

Crossref

Google Scholar

[10]

Gorla, N. and Lam, Y. W. Who should work with whom? Building effective software project teams. Comm. ACM47, 6 (June 2004) 79--82.

Digital Library

Google Scholar

[11]

Herrero, I. and Salmeron, J. L. Using the DEA methodology to rank software technical efficiency. Comm.ACM, 48,1 (Jan. 2005) 101--105.

Digital Library

Google Scholar

[12]

Pendharkar, P.C. and Rodger, J.A. An empirical study of the impact of team size on software development effort, Information Technology and Management 8 (2007), 253--262.

Digital Library

Google Scholar

Cited By

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Olivares RNoel RGuzmán SMiranda DMunoz R(2024)Intelligent Learning-Based Methods for Determining the Ideal Team Size in Agile PracticesBiomimetics10.3390/biomimetics90502929:5(292)Online publication date: 13-May-2024
https://doi.org/10.3390/biomimetics9050292
Balzano MBortoluzzi G(2024)Time is running out: How design thinking shapes team innovation under constraintsEuropean Management Journal10.1016/j.emj.2024.08.003Online publication date: Aug-2024
https://doi.org/10.1016/j.emj.2024.08.003
Castañeda PMauricio D(2022)A Model Based on Data Envelopment Analysis for the Measurement of Productivity in the Software FactoryResearch Anthology on Agile Software, Software Development, and Testing10.4018/978-1-6684-3702-5.ch040(792-818)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3702-5.ch040
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Index Terms

The relationship between software development team size and software development cost
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
  2. Software notations and tools
    1. Software configuration management and version control systems

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Communications of the ACM Volume 52, Issue 1

Rural engineering development

January 2009

125 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1435417

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 January 2009

Published in CACM Volume 52, Issue 1

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Olivares RNoel RGuzmán SMiranda DMunoz R(2024)Intelligent Learning-Based Methods for Determining the Ideal Team Size in Agile PracticesBiomimetics10.3390/biomimetics90502929:5(292)Online publication date: 13-May-2024
https://doi.org/10.3390/biomimetics9050292
Balzano MBortoluzzi G(2024)Time is running out: How design thinking shapes team innovation under constraintsEuropean Management Journal10.1016/j.emj.2024.08.003Online publication date: Aug-2024
https://doi.org/10.1016/j.emj.2024.08.003
Castañeda PMauricio D(2022)A Model Based on Data Envelopment Analysis for the Measurement of Productivity in the Software FactoryResearch Anthology on Agile Software, Software Development, and Testing10.4018/978-1-6684-3702-5.ch040(792-818)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3702-5.ch040
Twabi AMwakabira IByson LPhiri YTwalibu HChamdimba T(2022)On the enhancement of collaboration & group support in DHIS2 program rule management2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)10.1109/ICECET55527.2022.9872957(1-5)Online publication date: 20-Jul-2022
https://doi.org/10.1109/ICECET55527.2022.9872957
Pendharkar PRodger J(2021)Quantitative software project management with mixed dataJournal of Software: Evolution and Process10.1002/smr.234833:6Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1002/smr.2348
Batra D(2020)Research Challenges and Opportunities in Conducting Quantitative Studies on Large-Scale Agile MethodologyJournal of Database Management10.4018/JDM.202004010431:2(64-73)Online publication date: 1-Apr-2020
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Castañeda PMauricio D(2020)A Model Based on Data Envelopment Analysis for the Measurement of Productivity in the Software FactoryInternational Journal of Information Technologies and Systems Approach10.4018/IJITSA.202007010113:2(1-26)Online publication date: 1-Jul-2020
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Baek JShore J(2020)Forum Size and Content Contribution per PersonManagement Science10.1287/mnsc.2019.348466:12(5906-5924)Online publication date: 1-Dec-2020
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Batra D(2020)Job-Work Fit as a Determinant of the Acceptance of Large-Scale Agile MethodologyJournal of Systems and Software10.1016/j.jss.2020.110577(110577)Online publication date: May-2020
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Keane PGhaffar FMalone D(2020)Using machine learning to predict links and improve Steiner tree solutions to team formation problems - a cross company studyApplied Network Science10.1007/s41109-020-00306-x5:1Online publication date: 27-Aug-2020
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Software development: what it is, what it should be, and how to get there

Development of a Software Engineering Ontology for Multisite Software Development

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