research-article

A survey on software cost estimation in the chinese software industry

Authors:

Jing DuAuthors Info & Claims

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

Pages 253 - 262

https://doi.org/10.1145/1414004.1414045

Published: 09 October 2008 Publication History

Abstract

Although a lot of attention has been paid to software cost estimation since 1960, making accurate effort and schedule estimation is still a challenge. To collect evidence and identify potential areas of improvement in software cost estimation, it is important to investigate the estimation accuracy, the estimation method used, and the factors influencing the adoption of estimation methods in current industry. This paper analyzed 112 projects from the Chinese software project benchmarking dataset and conducted questionnaire survey on 116 organizations to investigate the above information. The paper presents the current situations related to software project estimation in China and provides evidence-based suggestions on how to improve software project estimation. Our survey results suggest, e.g., that large projects were more prone to cost and schedule overruns, that most computing managers and professionals were neither satisfied nor dissatisfied with the project estimation, that very few organizations (15%) used model-based methods, and that the high adoption cost and insignificant benefit after adoption were the main causes for low use of model-based methods.

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Cited By

Matsubara PSteinmacher IGadelha BConte T(2023)Much more than a prediction: Expert-based software effort estimation as a behavioral actEmpirical Software Engineering10.1007/s10664-023-10332-928:4Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1007/s10664-023-10332-9
Schürhoff CHanenberg SGruhn V(2023)An empirical study on a single company’s cost estimations of 338 software projectsEmpirical Software Engineering10.1007/s10664-022-10245-z28:1Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1007/s10664-022-10245-z
Jadhav AKaur MAkter F(2022)Evolution of Software Development Effort and Cost Estimation Techniques: Five Decades Study Using Automated Text Mining ApproachMathematical Problems in Engineering10.1155/2022/57825872022(1-17)Online publication date: 2-May-2022
https://doi.org/10.1155/2022/5782587
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A survey on software cost estimation in the chinese software industry

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

October 9 - 10, 2008

Kaiserslautern, Germany

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https://dl.acm.org/doi/10.1007/s10664-023-10332-9
Schürhoff CHanenberg SGruhn V(2023)An empirical study on a single company’s cost estimations of 338 software projectsEmpirical Software Engineering10.1007/s10664-022-10245-z28:1Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1007/s10664-022-10245-z
Jadhav AKaur MAkter F(2022)Evolution of Software Development Effort and Cost Estimation Techniques: Five Decades Study Using Automated Text Mining ApproachMathematical Problems in Engineering10.1155/2022/57825872022(1-17)Online publication date: 2-May-2022
https://doi.org/10.1155/2022/5782587
Ahmed MIqbal NHussain FKhan MHelfert MImran Kim J(2022)Blockchain-Based Software Effort Estimation: An Empirical StudyIEEE Access10.1109/ACCESS.2022.321684010(120412-120425)Online publication date: 2022
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Matsubara PGadelha BSteinmacher IConte T(2022)SEXTAMTJournal of Systems and Software10.1016/j.jss.2021.111148185:COnline publication date: 1-Mar-2022
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Vera TOchoa SPerovich D(2020)Development Effort Estimation Practices in Small Software Companies: An Exploratory Study2020 39th International Conference of the Chilean Computer Science Society (SCCC)10.1109/SCCC51225.2020.9281161(1-8)Online publication date: 16-Nov-2020
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Phannachitta P(2020)Meta Learning and Software Effort Estimation2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)10.1109/ECTIDAMTNCON48261.2020.9090722(211-215)Online publication date: Mar-2020
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Urbieta MTorres NRivero JRossi GDominguez-Mayo F(2018)Improving Mockup-Based Requirement Specification with End-User AnnotationsAgile Processes in Software Engineering and Extreme Programming10.1007/978-3-319-91602-6_2(19-34)Online publication date: 17-May-2018
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García-García JUrbieta MEscalona MRossi GEnríquez J(2017)Identifying functional requirements inconsistencies in multi-team projects framed into a model-based methodologyJournal of Web Engineering10.5555/3177580.317758416:3-4(228-251)Online publication date: 1-Jun-2017
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