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Improving Speed and Productivity of Software Development: A Global Survey of Software Developers

Authors:

Joseph D. Blackburn,

Gary D. Scudder,

Luk N. Van WassenhoveAuthors Info & Claims

IEEE Transactions on Software Engineering, Volume 22, Issue 12

Pages 875 - 885

https://doi.org/10.1109/32.553636

Published: 01 December 1996 Publication History

Abstract

Time is an essential measure of performance in software development because time delays tend to fall directly to the bottom line. To address this issue, this research seeks to distinguish time-based software development practices: those managerial actions that result in faster development speed and higher productivity. This study is based upon a survey of software management practices in Western Europe and builds upon an earlier study we carried out in the United States and Japan. We measure the extent to which managers in the United States, Japan, and Europe differ in their management of software projects and also determine the tools, technology, and practices that separate fast and slow developers in Western Europe.

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Cited By

Piantadosi VScalabrino SSerebrenik ANovielli NOliveto R(2023)Do attention and memory explain the performance of software developers?Empirical Software Engineering10.1007/s10664-023-10316-928:5Online publication date: 26-Aug-2023
https://dl.acm.org/doi/10.1007/s10664-023-10316-9
Tuape MHasheela-Mufeti VIiyambo PKayanda AMensah SKasurinen J(2022)Software Practice in Small Software Companies: Development Context Constraints on Process Adoption.Proceedings of the 2022 European Symposium on Software Engineering10.1145/3571697.3571698(1-9)Online publication date: 27-Oct-2022
https://dl.acm.org/doi/10.1145/3571697.3571698
Khattak AKhan A(2022)Cross-Location Activity Recognition using Adversarial LearningProceedings of the 11th International Symposium on Information and Communication Technology10.1145/3568562.3568584(59-65)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1145/3568562.3568584
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Index Terms

Improving Speed and Productivity of Software Development: A Global Survey of Software Developers
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 notations and tools
    1. Software configuration management and version control systems

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Information & Contributors

Information

Published In

cover image IEEE Transactions on Software Engineering

IEEE Transactions on Software Engineering Volume 22, Issue 12

December 1996

79 pages

ISSN:0098-5589

Editor:
Richard A. Kemmerer
Univ. of California, Santa Barbara

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Copyright © Copyright © 1996 IEEE. All Rights Reserved.

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IEEE Press

Publication History

Published: 01 December 1996

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Cited By

Piantadosi VScalabrino SSerebrenik ANovielli NOliveto R(2023)Do attention and memory explain the performance of software developers?Empirical Software Engineering10.1007/s10664-023-10316-928:5Online publication date: 26-Aug-2023
https://dl.acm.org/doi/10.1007/s10664-023-10316-9
Tuape MHasheela-Mufeti VIiyambo PKayanda AMensah SKasurinen J(2022)Software Practice in Small Software Companies: Development Context Constraints on Process Adoption.Proceedings of the 2022 European Symposium on Software Engineering10.1145/3571697.3571698(1-9)Online publication date: 27-Oct-2022
https://dl.acm.org/doi/10.1145/3571697.3571698
Khattak AKhan A(2022)Cross-Location Activity Recognition using Adversarial LearningProceedings of the 11th International Symposium on Information and Communication Technology10.1145/3568562.3568584(59-65)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1145/3568562.3568584
Gote CMavrodiev PSchweitzer FScholtes IDwyer MDamian DZeller A(2022)Big data = big insights?Proceedings of the 44th International Conference on Software Engineering10.1145/3510003.3510619(262-273)Online publication date: 21-May-2022
https://dl.acm.org/doi/10.1145/3510003.3510619
Sablis ASmite DMoe N(2021)Team‐external coordination in large‐scale software development projectsJournal of Software: Evolution and Process10.1002/smr.229733:3Online publication date: 3-Mar-2021
https://dl.acm.org/doi/10.1002/smr.2297
Xia XWan ZKochhar PLo DAtlee JBultan TWhittle J(2019)How practitioners perceive coding proficiencyProceedings of the 41st International Conference on Software Engineering10.1109/ICSE.2019.00098(924-935)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICSE.2019.00098
Chen JLim WTan BLing H(2018)The Role of Functional Diversity, Collective Team Identification, and Task Cohesion in Influencing Innovation SpeedJournal of Global Information Management10.5555/3213726.321373426:2(163-192)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.5555/3213726.3213734
Vargas PMauricio D(2018)A Review of Literature About Models and Factors of Productivity in the Software FactoryInternational Journal of Information Technologies and Systems Approach10.4018/IJITSA.201801010311:1(48-71)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.4018/IJITSA.2018010103
Çebi FSökmen N(2017)Decision-Tree Models for Predicting Time Performance in Software-Intensive ProjectsInternational Journal of Information Technology Project Management10.4018/IJITPM.20170401058:2(64-86)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.4018/IJITPM.2017040105
Meyer AZimmermann TFritz TBener ATurhan BBiffl S(2017)Characterizing software developers by perceptions of productivityProceedings of the 11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement10.1109/ESEM.2017.17(105-110)Online publication date: 9-Nov-2017
https://dl.acm.org/doi/10.1109/ESEM.2017.17
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