research-article

How Are Java Software Developers Using the Eclipse IDE?

Authors:

Gail C. Murphy,

Mik Kersten,

Leah FindlaterAuthors Info & Claims

IEEE Software, Volume 23, Issue 4

Pages 76 - 83

https://doi.org/10.1109/MS.2006.105

Published: 01 July 2006 Publication History

Publisher Site

Abstract

Eclipse is a leading development environment that provides a rich set of features supporting Java development. However, little data is available about its usage. Usage data from 41 developers using Java and Eclipse shows that they're using advanced features such as refactoring and are extending the environment using third-party tools. However, they rarely use some of the other features, such as bookmarking places in the code. The article also includes briefly describes the authors' Eclipse-based open-source analysis framework. Open-source projects such as Eclipse should be gathering and analyzing more usage data to ensure the tools they're building evolve to meet user communities' needs.

References

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C. Zetie, "Eclipse Has Won—What's Next for Eclipse?" Forrester Research, 2005;

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IEEE Software, vol. 22, no. 4, 2005, pp. 108–111.

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M. Fowler, Refactoring: Improving the Design of Existing Code, Addison-Wesley, 1999.

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IEEE Trans. Software Eng., vol. 30, no. 12, 2004, pp. 889–903.

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A.J. Ko, H. Aung, and B.A. Myers, "Eliciting Design Requirements for Maintenance-Oriented IDEs: A Detailed Study of Corrective and Perfective Maintenance Tasks," Proc. 27th Int'l Conf. Software Eng. (ICSE 05), ACM Press, 2005, pp. 126–135.

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Index Terms

How Are Java Software Developers Using the Eclipse IDE?
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
    2. General programming languages
      1. Language types

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Information & Contributors

Information

Published In

IEEE Software Volume 23, Issue 4

July 2006

100 pages

ISSN:0740-7459

Issue’s Table of Contents

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 2006

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Storey MRusso DNovielli NKobayashi TWang D(2024)A Disruptive Research Playbook for Studying Disruptive InnovationsACM Transactions on Software Engineering and Methodology10.1145/367817233:8(1-29)Online publication date: 15-Jul-2024
https://dl.acm.org/doi/10.1145/3678172
Weber TBrandmaier MSchmidt AMayer S(2024)Significant Productivity Gains through Programming with Large Language ModelsProceedings of the ACM on Human-Computer Interaction10.1145/36611458:EICS(1-29)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3661145
Corso VMariani LMicucci DRiganelli OBaysal OLinares-Vasquez MMoran KSteinmacher I(2024)Generating Java Methods: An Empirical Assessment of Four AI-Based Code AssistantsProceedings of the 32nd IEEE/ACM International Conference on Program Comprehension10.1145/3643916.3644402(13-23)Online publication date: 15-Apr-2024
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Semenkin ASokolov YVu EDig DBryksin TGolubev YBezzubov A(2024)Context Composing for Full Line Code CompletionProceedings of the 1st ACM/IEEE Workshop on Integrated Development Environments10.1145/3643796.3648446(15-17)Online publication date: 20-Apr-2024
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