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Staffing a software project: a constraint satisfaction approach

Authors:

Ahilton Barreto,

Márcio Barros,

Cláudia WernerAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 30, Issue 4

Pages 1 - 5

https://doi.org/10.1145/1082983.1083093

Published: 15 May 2005 Publication History

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Abstract

This paper presents an optimization based approach to support staffing a software project. The approach takes into account the characteristics of the project activities, the characteristics of the available human resources, and constraints established by the software development organization in charge of the project. According to these needs, the project manager selects a utility function to be maximized or minimized by the optimizer. We propose several utility functions, each addressing specific values which can be sought by the development organization.

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Boehm, B.; Sullivan, K., "Software economics: a roadmap," in The Future of Software Engineering, 22nd International Conference on Software Engineering, June, 2000. pp. 319--344.

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Cited By

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Hameed MKhalid HQamar UAbass S(2017)Optimizing software project management staffing and work-force deployment processes using swarm intelligence2017 Computing Conference10.1109/SAI.2017.8252084(78-84)Online publication date: Jul-2017
https://doi.org/10.1109/SAI.2017.8252084
Stylianou CAndreou A(2016)Investigating the impact of developer productivity, task interdependence type and communication overhead in a multi-objective optimization approach for software project planningAdvances in Engineering Software10.1016/j.advengsoft.2016.04.00198:C(79-96)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.advengsoft.2016.04.001
Yarramsett SKousalya G(2015)Review on Computer Aided Techniques for Software Project Scheduling and StaffingAsian Journal of Applied Sciences10.3923/ajaps.2015.196.2038:3(196-203)Online publication date: 1-Mar-2015
https://doi.org/10.3923/ajaps.2015.196.203
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Index Terms

Staffing a software project: a constraint satisfaction approach
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
        Project staffing
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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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 30, Issue 4

July 2005

1514 pages

ISSN:0163-5948

DOI:10.1145/1082983

Issue’s Table of Contents

EDSER '05: Proceedings of the seventh international workshop on Economics-driven software engineering research
May 2005
65 pages
ISBN:159593118X
DOI:10.1145/1083091
Editor:
Kevin Sullivan

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 May 2005

Published in SIGSOFT Volume 30, Issue 4

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Cited By

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Hameed MKhalid HQamar UAbass S(2017)Optimizing software project management staffing and work-force deployment processes using swarm intelligence2017 Computing Conference10.1109/SAI.2017.8252084(78-84)Online publication date: Jul-2017
https://doi.org/10.1109/SAI.2017.8252084
Stylianou CAndreou A(2016)Investigating the impact of developer productivity, task interdependence type and communication overhead in a multi-objective optimization approach for software project planningAdvances in Engineering Software10.1016/j.advengsoft.2016.04.00198:C(79-96)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1016/j.advengsoft.2016.04.001
Yarramsett SKousalya G(2015)Review on Computer Aided Techniques for Software Project Scheduling and StaffingAsian Journal of Applied Sciences10.3923/ajaps.2015.196.2038:3(196-203)Online publication date: 1-Mar-2015
https://doi.org/10.3923/ajaps.2015.196.203
Biju AVictoire TMohanasundaram K(2015)An Improved Differential Evolution Solution for Software Project Scheduling ProblemThe Scientific World Journal10.1155/2015/2321932015(1-9)Online publication date: 2015
https://doi.org/10.1155/2015/232193
Park JSeo DHong GShin DHwa JBae D(2015)Human Resource Allocation in Software Project with Practical ConsiderationsInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819401540001X25:01(5-26)Online publication date: Feb-2015
https://doi.org/10.1142/S021819401540001X
Stylianou CAndreou A(2014)Human Resource Allocation and Scheduling for Software Project ManagementSoftware Project Management in a Changing World10.1007/978-3-642-55035-5_4(73-106)Online publication date: 24-May-2014
https://doi.org/10.1007/978-3-642-55035-5_4
Stylianou CGerasimou SAndreou A(2012)A Novel Prototype Tool for Intelligent Software Project Scheduling and Staffing Enhanced with Personality Factors2012 IEEE 24th International Conference on Tools with Artificial Intelligence10.1109/ICTAI.2012.45(277-284)Online publication date: Nov-2012
https://doi.org/10.1109/ICTAI.2012.45
Di Penta MHarman MAntoniol G(2011)The use of search-based optimization techniques to schedule and staff software projects: an approach and an empirical studySoftware—Practice & Experience10.1002/spe.100141:5(495-519)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.1002/spe.1001
Xiao JWang QLi MYe Yang Fan Zhang Lizi Xie (2008)A constraint-driven human resource scheduling method in software development and maintenance process2008 IEEE International Conference on Software Maintenance10.1109/ICSM.2008.4658050(17-26)Online publication date: Sep-2008
https://doi.org/10.1109/ICSM.2008.4658050
Costa ARamos FPerkusich MDantas EDilorenzo EChagas FMeireles AAlbuquerque DSilva LAlmeida HPerkusich A(2020)Team Formation in Software Engineering: A Systematic Mapping StudyIEEE Access10.1109/ACCESS.2020.30150178(145687-145712)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3015017
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