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Lightweight visualizations for inspecting code smells

Published: 04 September 2006 Publication History

Abstract

In this paper we present an approach for using lightweight visualizations to inspect bad coding patterns. We demonstrate how our Visual Studio plugin assists developers in finding relevant methods to inspect.

References

[1]
Emden, E. V., and Moonen, L. 2002. Java quality assurance by detecting code smells. In WCRE '02: Proceedings of the Ninth Working Conference on Reverse Engineering (WCRE'02), IEEE Computer Society, Washington, DC, USA, 97.
[2]
Fowler, M., Beck, K., Brant, J., Opdyke, W., and Roberts, D. 2001. Refactoring: Improving the Design of Existing Code. Addison-Wesley.
[3]
Parnin, C., and Görg, C. 2006. Building usage contexts during program comprehension. In ICPC '06: Proceedings of the 14th International Conference on Program Comprehension, IEEE Computer Society, Washington, DC, USA.
[4]
Riel, A. J. 1996. Object-Oriented Design Heuristics. Addison-Wesley.

Cited By

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  • (2017)Code smells detection 2.0: Crowdsmelling and visualization2017 12th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI.2017.7975961(1-4)Online publication date: Jun-2017
  • (2016)Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)10.1109/SANER.2016.84(609-613)Online publication date: Mar-2016
  • (2010)Understanding contextProceedings of the FSE/SDP workshop on Future of software engineering research10.1145/1882362.1882415(255-258)Online publication date: 7-Nov-2010
  • Show More Cited By

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Published In

cover image ACM Conferences
SoftVis '06: Proceedings of the 2006 ACM symposium on Software visualization
September 2006
199 pages
ISBN:1595934642
DOI:10.1145/1148493
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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 September 2006

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Author Tags

  1. code smells
  2. quality assurance
  3. software visualization

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Overall Acceptance Rate 20 of 65 submissions, 31%

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Cited By

View all
  • (2017)Code smells detection 2.0: Crowdsmelling and visualization2017 12th Iberian Conference on Information Systems and Technologies (CISTI)10.23919/CISTI.2017.7975961(1-4)Online publication date: Jun-2017
  • (2016)Antipattern and Code Smell False Positives: Preliminary Conceptualization and Classification2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)10.1109/SANER.2016.84(609-613)Online publication date: Mar-2016
  • (2010)Understanding contextProceedings of the FSE/SDP workshop on Future of software engineering research10.1145/1882362.1882415(255-258)Online publication date: 7-Nov-2010
  • (2008)Rapid visual design with semantics encoding through 3d CRC cardsProceedings of the 4th ACM symposium on Software visualization10.1145/1409720.1409751(193-196)Online publication date: 16-Sep-2008
  • (2008)A catalogue of lightweight visualizations to support code smell inspectionProceedings of the 4th ACM symposium on Software visualization10.1145/1409720.1409733(77-86)Online publication date: 16-Sep-2008
  • (2008)Immersive 3d Visualizations for Software-Design Prototyping and InspectionProceedings of the 4th International Symposium on Advances in Visual Computing10.1007/978-3-540-89639-5_84(879-890)Online publication date: 1-Dec-2008
  • (2007)Design Guidelines for Ambient Software Visualization in the Workplace2007 4th IEEE International Workshop on Visualizing Software for Understanding and Analysis10.1109/VISSOF.2007.4290695(18-25)Online publication date: Jun-2007

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