research-article

Capturing and Exploiting IDE Interactions

Authors:

Zhendong SuAuthors Info & Claims

Onward! 2014: Proceedings of the 2014 ACM International Symposium on New Ideas, New Paradigms, and Reflections on Programming & Software

Pages 83 - 94

https://doi.org/10.1145/2661136.2661144

Published: 14 October 2014 Publication History

Abstract

Integrated development environments (IDEs) dominate the production and maintenance of software. Developers interact intensively with their IDEs while working. These interactions reflect a developer's thought process and work habits. By capturing and exploiting comprehensive, fine-grained IDE interactions, we can build intelligent IDEs that improve programmer productivity. This next generation of IDEs will incorporate a general framework to capture and exploit IDE interactions, and create an ecosystem of developer-aware applications and plugins. IDE++ realizes this framework on top of the popular Eclipse IDE and can be downloaded from the Eclipse marketplace. To demonstrate IDE++'s comprehensive and granular capture of interactions, we capture, then faithfully replay, a developer's IDE actions on six nontrivial programming tasks. We built four applications upon IDE++ to illustrate 1) the need for capturing comprehensive, fine-grained IDE interactions, and 2) the promise of developer-aware IDEs.

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Cited By

Tang NAn JChen MBansal AHuang YMcMillan CLi TRoychoudhury APaiva AAbreu RStorey M(2024)CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDEProceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings10.1145/3639478.3640037(119-123)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639478.3640037
Lee SLee JKang SAhn JCho H(2021)Code Edit Recommendation Using a Recurrent Neural NetworkApplied Sciences10.3390/app1119928611:19(9286)Online publication date: 6-Oct-2021
https://doi.org/10.3390/app11199286
Zhevaho O(2021)An Overview of Tools for Collecting Data on Software Development and Debugging Processes from Integrated Development EnvironmentsScience and Transport Progress10.15802/stp2021/242042(24-37)Online publication date: 15-Jun-2021
https://doi.org/10.15802/stp2021/242042
Show More Cited By

Index Terms

Capturing and Exploiting IDE Interactions
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments

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Information & Contributors

Information

Published In

cover image ACM Conferences

Onward! 2014: Proceedings of the 2014 ACM International Symposium on New Ideas, New Paradigms, and Reflections on Programming & Software

October 2014

332 pages

ISBN:9781450332101

DOI:10.1145/2661136

General Chair:
Andrew Black
Portland State University, USA
,
Program Chairs:
Shriram Krishnamurthi
Brown University, USA
,
Bernd Bruegge
Technische Universität München, Germany
,
Publications Chair:
Joseph N. Ruskiewicz
eBay and Portland State University, USA

Copyright © 2014 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 the author(s) 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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SIGPLAN: ACM Special Interest Group on Programming Languages

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2014

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National Science Foundation

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SPLASH '14

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SIGPLAN

SPLASH '14: Conference on Systems, Programming, and Applications: Software for Humanity

October 20 - 24, 2014

Oregon, Portland, USA

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Onward! 2014 Paper Acceptance Rate 16 of 35 submissions, 46%;

Overall Acceptance Rate 40 of 105 submissions, 38%

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Cited By

Tang NAn JChen MBansal AHuang YMcMillan CLi TRoychoudhury APaiva AAbreu RStorey M(2024)CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDEProceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings10.1145/3639478.3640037(119-123)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3639478.3640037
Lee SLee JKang SAhn JCho H(2021)Code Edit Recommendation Using a Recurrent Neural NetworkApplied Sciences10.3390/app1119928611:19(9286)Online publication date: 6-Oct-2021
https://doi.org/10.3390/app11199286
Zhevaho O(2021)An Overview of Tools for Collecting Data on Software Development and Debugging Processes from Integrated Development EnvironmentsScience and Transport Progress10.15802/stp2021/242042(24-37)Online publication date: 15-Jun-2021
https://doi.org/10.15802/stp2021/242042
Di Rosa GMocci AD'Ambros M(2020)Visualizing Interaction Data Inside & Outside the IDE to Characterize Developer Productivity2020 Working Conference on Software Visualization (VISSOFT)10.1109/VISSOFT51673.2020.00009(38-48)Online publication date: Sep-2020
https://doi.org/10.1109/VISSOFT51673.2020.00009
Buhse BWei TZang ZMilicevic AGligoric MMussbacher GAtlee JBultan T(2019)VeDebugProceedings of the 41st International Conference on Software Engineering: Companion Proceedings10.1109/ICSE-Companion.2019.00027(15-18)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICSE-Companion.2019.00027
Kulkarni NVarma V(2018)Supporting comprehension of unfamiliar programs by modeling cuesSoftware Quality Journal10.1007/s11219-015-9303-525:1(307-340)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1007/s11219-015-9303-5
Yamamori AHagward AKobayashi T(2017)Can Developers’ Interaction Data Improve Change Recommendation?2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)10.1109/COMPSAC.2017.79(128-137)Online publication date: Jul-2017
https://doi.org/10.1109/COMPSAC.2017.79

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