research-article

Phase distribution of software development effort

Authors:

Barry BoehmAuthors Info & Claims

ESEM '08: Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement

Pages 61 - 69

https://doi.org/10.1145/1414004.1414016

Published: 09 October 2008 Publication History

Abstract

Effort distribution by phase or activity is an important but often overlooked aspect compared to other steps in the cost estimation process. Poor effort allocation is among the major root causes of rework due to insufficiently resourced early activities. This paper provides results of an empirical study on phase effort distribution data of 75 industry projects, from the China Software Benchmarking Standard Group (CSBSG) database. The phase effort distribution patterns and variation sources are presented, and analysis results show some consistency in effects of software size and team size on code and test phase distribution variations, and some considerable deviations in requirements, design, and transition phases, compared with recommendations in the COCOMO model. Finally, this paper discusses the major findings and threats to validity and presents general guidelines in directing effort allocation. Empirical findings from this study are beneficial for stimulating discussions and debates to improve cost estimation and benchmarking practices.

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Cited By

Long DDrylie SRitschel JKoschnick C(2024)An Assessment of Rules of Thumb for Software Phase Management, and the Relationship Between Phase Effort and Schedule SuccessIEEE Transactions on Software Engineering10.1109/TSE.2023.333938350:2(209-219)Online publication date: Feb-2024
https://doi.org/10.1109/TSE.2023.3339383
Rashid CShafi IAhmad JThompson EVergara Mde la Torre Diez IAshraf I(2023)Software Cost and Effort Estimation: Current Approaches and Future TrendsIEEE Access10.1109/ACCESS.2023.331271611(99268-99288)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3312716
Iqbal DBadshah SKazim I(2022)The Influence of Cost Drivers on Effort Estimation in Distributed Software DevelopmentProceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering10.1145/3530019.3531331(399-407)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3530019.3531331
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Index Terms

Phase distribution of software development effort
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Implementation management
        Pricing and resource allocation
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines
    2. Software verification and validation
      1. Process validation

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Published In

cover image ACM Conferences

ESEM '08: Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement

October 2008

374 pages

ISBN:9781595939715

DOI:10.1145/1414004

General Chair:
Dieter Rombach
University of Kaiserslautern and Fraunhofer Institute for Experimental Software Engineering (Germany)
,
Program Chairs:
Sebastian Elbaum
University of Nebraska-Lincoln (USA)
,
Jürgen Münch
Fraunhofer Institute for Experimental Software Engineering (Germany)

Copyright © 2008 ACM.

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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Published: 09 October 2008

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ESEM '08

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ESEM '08: 2008 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement

October 9 - 10, 2008

Kaiserslautern, Germany

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Overall Acceptance Rate 130 of 594 submissions, 22%

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Cited By

Long DDrylie SRitschel JKoschnick C(2024)An Assessment of Rules of Thumb for Software Phase Management, and the Relationship Between Phase Effort and Schedule SuccessIEEE Transactions on Software Engineering10.1109/TSE.2023.333938350:2(209-219)Online publication date: Feb-2024
https://doi.org/10.1109/TSE.2023.3339383
Rashid CShafi IAhmad JThompson EVergara Mde la Torre Diez IAshraf I(2023)Software Cost and Effort Estimation: Current Approaches and Future TrendsIEEE Access10.1109/ACCESS.2023.331271611(99268-99288)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3312716
Iqbal DBadshah SKazim I(2022)The Influence of Cost Drivers on Effort Estimation in Distributed Software DevelopmentProceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering10.1145/3530019.3531331(399-407)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3530019.3531331
Singhal SMoses BJadhav V(2022)Generalizing Software Defect Estimation Using Size and Two Interaction VariablesHandbook on Artificial Intelligence-Empowered Applied Software Engineering10.1007/978-3-031-08202-3_4(55-74)Online publication date: 4-Sep-2022
https://doi.org/10.1007/978-3-031-08202-3_4
López‐Martín C(2021)Effort prediction for the software project construction phaseJournal of Software: Evolution and Process10.1002/smr.236533:7Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1002/smr.2365
Aguiar ARestivo ACorreia FFerreira HDias J(2019)Live software developmentCompanion Proceedings of the 3rd International Conference on the Art, Science, and Engineering of Programming10.1145/3328433.3328456(1-6)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1145/3328433.3328456
Jolak RHo-Quang TChaudron MSchiffelers RWąsowski APaige RHaugen Ø(2018)Model-Based Software EngineeringProceedings of the 21th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems10.1145/3239372.3239404(213-223)Online publication date: 14-Oct-2018
https://dl.acm.org/doi/10.1145/3239372.3239404
Sutton SKuhrmann MO'Connor RHouston D(2018)Informed projectionProceedings of the 2018 International Conference on Software and System Process10.1145/3202710.3203147(76-85)Online publication date: 26-May-2018
https://dl.acm.org/doi/10.1145/3202710.3203147
Jodpimai PSophatsathit PLursinsap C(2018)Re-estimating software effort using prior phase efforts and data mining techniquesInnovations in Systems and Software Engineering10.1007/s11334-018-0311-z14:3(209-228)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.1007/s11334-018-0311-z
王勇(2017)The Effort Distribution of Software Development PhasesComputer Science and Application10.12677/CSA.2017.7505207:05(428-437)Online publication date: 2017
https://doi.org/10.12677/CSA.2017.75052
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