research-article

Assisting engineers in switching artifacts by using task semantic and interaction history

Authors:

Alexander SahmAuthors Info & Claims

RSSE '10: Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering

Pages 59 - 63

https://doi.org/10.1145/1808920.1808935

Published: 04 May 2010 Publication History

Abstract

Recent empirical studies show that software engineers use 5 tools and 14 artifacts on average for a single task. As development work is frequently interrupted and several simultaneous tasks are performed in parallel, engineers need to switch many times between these tools and artifacts. A lot of time gets wasted in repeatedly locating, reopening or selecting the right artifacts needed next. To address this problem we introduce Switch!, a context-aware artifact recommendation and switching tool. Switch! assists engineers in switching artifacts based on the type of the development task and the interaction history.

References

[1]

Launchbar. http://www.obdev.at/launchbar/.

[2]

Quicksilver. http://docs.blacktree.com/quicksilver/what_is_quicksilver.

[3]

A. Ankolekar, K. Sycara, and J. H. et al. Supporting online problem-solving communities with the semantic web. Proceedings of the 15th international conference on World Wide Web, 2006.

Digital Library

[4]

M. Bernstein, J. Shrager, and T. Winograd. Taskposé: exploring fluid boundaries in an associative window visualization. Proceedings of the 21st annual ACM symposium on User interface software and technology, 2008.

Digital Library

[5]

A. Dragunov, T. Dietterich, and K. Johnsrude. Tasktracer: a desktop environment to support multi-tasking knowledge workers. Proceedings of the 10th international conference on Intelligent User Interfaces, Jan 2005.

Digital Library

[6]

V. González and G. Mark. "constant, constant, multi-tasking craziness": managing multiple working spheres. Proceedings of the SIGCHI conference on Human factors in computing systems, 2004.

Digital Library

[7]

H.-J. Happel and W. Maalej. Potentials and challenges of recommendation systems for software development. In RSSE '08: Proceedings of the 2008 international workshop on Recommendation systems for software engineering. ACM, Nov 2008.

Digital Library

[8]

J. Karlin. Launchy. http://launchy.net.

[9]

M. Kersten and G. Murphy. Using task context to improve programmer productivity. SIGSOFT '06/FSE-14: Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering, Nov 2006.

Digital Library

[10]

A. Ko, R. DeLine, and G. Venolia. Information needs in collocated software development teams. Proceedings of the 29th international conference on Software Engineering, 2007.

Digital Library

[11]

W. Maalej. Task-first or context-first? tool integration revisited. In Proceedings of the ACM/IEEE International Conference on Automated Software Engineering. IEEE Computer Society, May 2009.

Digital Library

[12]

W. Maalej and H. Happel. A lightweight approach for knowledge sharing in distributed software teams. In 7th International Conference on Practical Aspects of Knowledge Management. Springer, Jan 2008.

Digital Library

[13]

W. Maalej and H. Happel. From work to word: How do software developers describe their work? In Mining Software Repositories, 2009. MSR '09. 6th IEEE International Working Conference on, pages 121--130, May 2009.

Digital Library

[14]

G. Mark, V. Gonzalez, and J. Harris. No task left behind?: examining the nature of fragmented work. CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems, Apr 2005.

Digital Library

[15]

N. Oliver, G. Smith, C. Thakkar, and A. Surendran. Swish: semantic analysis of window titles and switching history. Proceedings of the 11th international conference on Intelligent user interfaces, 2006.

Digital Library

[16]

M. P. Robillard, R. J. Walker, and T. Zimmermann. Recommendation systems for software engineering. IEEE Software, 2010.

Digital Library

[17]

C. B. Seaman. Qualitative methods in empirical studies of software engineering. IEEE Trans. Softw. Eng., 25(4):557--572, 1999.

Digital Library

[18]

J. Shen, W. Geyer, M. Muller, C. Dugan, B. Brownholtz, and D. Millen. Automatically finding and recommending resources to support knowledge workers' activities. Proceedings of the 13th international conference on Intelligent user interfaces, 2008.

Digital Library

[19]

J. Shen, J. Irvine, X. Bao, M. Goodman, S. Kolibaba, A. Tran, F. Carl, B. Kirschner, S. Stumpf, and T. Dietterich. Detecting and correcting user activity switches: algorithms and interfaces. IUI '09: Proceedingsc of the 13th international conference on Intelligent user interfaces, Feb 2009.

Digital Library

[20]

G. Smith, P. Baudisch, G. Robertson, and M. Czerwinski. Groupbar: The taskbar evolved. Proc. OZCHI, Jan 2003.

[21]

L. Zou and M. W. Godfrey. An industrial case study of program artifacts viewed during maintenance tasks. Reverse Engineering, 2006. WCRE '06. 13th Working Conference on, pages 71--82, 2006.

Digital Library

Cited By

Battut ARatovo KBeaudouin-Lafon M(2024) OneTrace : Improving Event Recall and Coordination With Cross-Application Interaction Histories International Journal of Human–Computer Interaction10.1080/10447318.2024.2332848(1-18)Online publication date: 3-Apr-2024
https://doi.org/10.1080/10447318.2024.2332848
Pham van NVranić V(2022)Constraining peripheral perception in instant messaging during software development by continuous work context extractionUniversal Access in the Information Society10.1007/s10209-021-00862-822:2(511-524)Online publication date: 17-Jan-2022
https://doi.org/10.1007/s10209-021-00862-8
Ziegenhagen DSpeck APulvermueller E(2020)Expanding Tracing Capabilities Using Dynamic Tracing DataEvaluation of Novel Approaches to Software Engineering10.1007/978-3-030-40223-5_16(319-340)Online publication date: 9-Feb-2020
https://doi.org/10.1007/978-3-030-40223-5_16
Show More Cited By

Recommendations

Are software engineers true engineers?

Software engineering is an often used term to describe the activities, methods, and tools of large scale software development. There is an ongoing discussion whether Software Engineering can be considered as an engineering discipline. In many respects ...
Eye-blinking artefacts analysis
CompSysTech '07: Proceedings of the 2007 international conference on Computer systems and technologies

Brain computer interface (BCI) is a device which allows the people to communicate without using their mouths or hands. The information about the subject's intention is issued by his brain and exists in his electroencephalogram (EEG), recorded from the ...
EOG Artifacts Removal in EEG Measurements for Affective Interaction with Brain Computer Interface
IIH-MSP '12: Proceedings of the 2012 Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

A brain-computer interface (BCI) is a direct link between the brain and a computer. Multi-modal input with BCI forms a promising solution for creating rich gaming experience. Electroencephalography (EEG) measurement is the sole necessary component for a ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

RSSE '10: Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering

May 2010

83 pages

ISBN:9781605589749

DOI:10.1145/1808920

Conference Chairs:
Reid Holmes
University of Washington
,
Martin P. Robillard
McGill University, Canada
,
Robert J. Walker
University of Calgary, Canada
,
Thomas Zimmermann
Microsoft Research

Copyright © 2010 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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 May 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article

Conference

ICSE '10

Sponsor:

SIGSOFT

ICSE '10: 32nd International Conference on Software Engineering

May 4, 2010

Cape Town, South Africa

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
326
Total Downloads

Downloads (Last 12 months)14
Downloads (Last 6 weeks)5

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Battut ARatovo KBeaudouin-Lafon M(2024) OneTrace : Improving Event Recall and Coordination With Cross-Application Interaction Histories International Journal of Human–Computer Interaction10.1080/10447318.2024.2332848(1-18)Online publication date: 3-Apr-2024
https://doi.org/10.1080/10447318.2024.2332848
Pham van NVranić V(2022)Constraining peripheral perception in instant messaging during software development by continuous work context extractionUniversal Access in the Information Society10.1007/s10209-021-00862-822:2(511-524)Online publication date: 17-Jan-2022
https://doi.org/10.1007/s10209-021-00862-8
Ziegenhagen DSpeck APulvermueller E(2020)Expanding Tracing Capabilities Using Dynamic Tracing DataEvaluation of Novel Approaches to Software Engineering10.1007/978-3-030-40223-5_16(319-340)Online publication date: 9-Feb-2020
https://doi.org/10.1007/978-3-030-40223-5_16
Liu JChen Y(2019)A personalized clustering-based and reliable trust-aware QoS prediction approach for cloud service recommendation in cloud manufacturingKnowledge-Based Systems10.1016/j.knosys.2019.02.032Online publication date: Mar-2019
https://doi.org/10.1016/j.knosys.2019.02.032
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
Pakdeetrakulwong UWongthongtham PSiricharoen W(2014)Recommendation systems for software engineering: A survey from software development life cycle phase perspectiveThe 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014)10.1109/ICITST.2014.7038793(137-142)Online publication date: Dec-2014
https://doi.org/10.1109/ICITST.2014.7038793
Murphy-Hill EMurphy G(2013)Recommendation DeliveryRecommendation Systems in Software Engineering10.1007/978-3-642-45135-5_9(223-242)Online publication date: 20-Dec-2013
https://doi.org/10.1007/978-3-642-45135-5_9
Maalej WFritz TRobbes R(2013)Collecting and Processing Interaction Data for Recommendation SystemsRecommendation Systems in Software Engineering10.1007/978-3-642-45135-5_7(173-197)Online publication date: 20-Dec-2013
https://doi.org/10.1007/978-3-642-45135-5_7
Felfernig AJeran MNinaus GReinfrank FReiterer SStettinger M(2013)Basic Approaches in Recommendation SystemsRecommendation Systems in Software Engineering10.1007/978-3-642-45135-5_2(15-37)Online publication date: 20-Dec-2013
https://doi.org/10.1007/978-3-642-45135-5_2
Christidis KParaskevopoulos FPanagiotou DMentzas GMaalej WRobillard MWalker RZimmermann T(2012)Combining activity metrics and contribution topics for software recommendationsProceedings of the Third International Workshop on Recommendation Systems for Software Engineering10.5555/2666719.2666729(43-46)Online publication date: 4-Jun-2012
https://dl.acm.org/doi/10.5555/2666719.2666729
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten