article

Predicting acceptance of Software Process Improvement

Authors:

Carolyn SeamanAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 30, Issue 4

Pages 1 - 6

https://doi.org/10.1145/1082983.1083121

Published: 16 May 2005 Publication History

Abstract

Software Process Improvement (SPI) initiatives induce organizational change, by introducing new tools, techniques and work practices. Organizations have to address acceptance issues such as resistance to change, compatibility and fear of adverse consequences. Social psychology literature includes the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), which study such adoption issues and predict intention to use and actual usage of workplace technology. Some constructs of these models could be applied to software organizations to make it easier for them to counter the initial resistance and to assimilate process improvement into the work culture. To increase applicability of these models to the SPI context, some additional constructs are proposed, by taking into account organizational culture, the impact of changes caused by SPI and the unique characteristics of software developers.

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Cited By

Tezel BKardas G(2025)Debugging in the Domain-Specific Modeling Languages for multi-agent systemsJournal of Computer Languages10.1016/j.cola.2025.10132583(101325)Online publication date: Jun-2025
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Choi SKim DPark S(2022)ReMo: A Recommendation Development Model for Software Process Improvement Based on Correlation AnalysisEvolving Software Processes10.1002/9781119821779.ch1(1-46)Online publication date: 7-Jan-2022
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Index Terms

Predicting acceptance of Software Process Improvement
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
      2. Software management
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
    2. Software verification and validation
      1. Process validation

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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

HSSE '05: Proceedings of the 2005 workshop on Human and social factors of software engineering
May 2005
96 pages
ISBN:1595931201
DOI:10.1145/1083106

Copyright © 2005 Copyright is held by the owner/author(s).

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

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Publication History

Published: 16 May 2005

Published in SIGSOFT Volume 30, Issue 4

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Cited By

Tezel BKardas G(2025)Debugging in the Domain-Specific Modeling Languages for multi-agent systemsJournal of Computer Languages10.1016/j.cola.2025.10132583(101325)Online publication date: Jun-2025
https://doi.org/10.1016/j.cola.2025.101325
Ardi SSandahl KGustafsson M(2023)A Case Study of Introducing Security Risk Assessment in Requirements Engineering in a Large OrganizationSN Computer Science10.1007/s42979-023-01968-x4:5Online publication date: 26-Jun-2023
https://dl.acm.org/doi/10.1007/s42979-023-01968-x
Choi SKim DPark S(2022)ReMo: A Recommendation Development Model for Software Process Improvement Based on Correlation AnalysisEvolving Software Processes10.1002/9781119821779.ch1(1-46)Online publication date: 7-Jan-2022
https://doi.org/10.1002/9781119821779.ch1
Tschandl MMezhuyev VMöstl D(2021)Robotic Process Automation Technology Acceptance: A Case Study from Austrian CompaniesProceedings of International Conference on Emerging Technologies and Intelligent Systems10.1007/978-3-030-85990-9_64(815-826)Online publication date: 3-Dec-2021
https://doi.org/10.1007/978-3-030-85990-9_64
Mezhuyev VAl-Emran MIsmail MBenedicenti LChandran D(2019)The acceptance of search-based software engineering techniques: An empirical evaluation using the technology acceptance modelIEEE Access10.1109/ACCESS.2019.2917913(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2917913
Ghayyur SAwan DSikander Hayat Khiyal M(2016)A Case of Engineering Quality for Mobile Healthcare Applications Using Augmented Personal Software Process ImprovementMobile Information Systems10.1155/2016/30912802016(1-14)Online publication date: 2016
https://doi.org/10.1155/2016/3091280
Nilsson ACastro LRivas SArts T(2015)Assessing the effects of introducing a new software development processInternational Journal on Software Tools for Technology Transfer (STTT)10.1007/s10009-013-0275-017:1(1-16)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1007/s10009-013-0275-0
Del Carpio AAngarita L(2015)Towards the Development of a Framework for Encouraging the Learning of SPICE Model by Using Knowledge GraphsSoftware Process Improvement and Capability Determination10.1007/978-3-319-19860-6_16(203-216)Online publication date: 3-Jun-2015
https://doi.org/10.1007/978-3-319-19860-6_16
Lenberg PFeldt RWallgren LSharp HPrikladnicki RBegel Ade Souza C(2014)Towards a behavioral software engineeringProceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering10.1145/2593702.2593711(48-55)Online publication date: 2-Jun-2014
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Garousi GGarousi VMoussavi MRuhe GSmith Bda Silva FJuristo NTravassos G(2013)Evaluating usage and quality of technical software documentationProceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering10.1145/2460999.2461003(24-35)Online publication date: 14-Apr-2013
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