Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1985374.1985389acmconferencesArticle/Chapter ViewAbstractPublication PagesicseConference Proceedingsconference-collections
research-article

Which code construct metrics are symptoms of post release failures?

Published: 24 May 2011 Publication History

Abstract

Software metrics, such as code complexity metrics and code churn metrics, are used to predict failures. In this paper we study a specific set of metrics called code construct metrics and relate them to post release failures. We use the values of the code construct metrics for each file to characterize that file. We analyze the code construct metrics along with the post release failure data on the files (that splits the files into two classes: files with post release failures and files without post release failures). In our analysis we compare a file with post release failure to a set of files without post release failures, that have similar characteristics. In our comparison we identify which code construct metric, more often than the others, differs the most between these two classes of files. The goal of our research is to find out which code construct metrics can perhaps be used as symptoms of post release failures. In this paper we analyzed the code construct metrics of Eclipse 2.0, 2.1, and 3.0. Our results indicate that MethodInvocation, QualifiedName, and SimpleName, are the code constructs that differentiates the two classes of files the most and hence are the key symptoms/indicators of a file with post release failures in these versions of Eclipse.

References

[1]
D. C. Arnold, D. H. Ahn, B. R. de Supinski, G. L. Lee, B. P. Miller, M. Schulz, "Stack Trace Analysis for Large Scale Debugging," Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International, vol., no., pp.1--10, 26--30. March 2007
[2]
T. M. Chilimbi, B. Liblit, K. Mehra, A. V. Nori, K. Vaswani, "HOLMES: Effective statistical debugging via efficient path profiling," Software Engineering, 2009. ICSE 2009. IEEE 31st International Conference on, vol., no., pp. 34--44, 16--24. May 2009
[3]
M. Fowler, "Refactoring: Improving the Design of Existing Code," 1st ed. Addison-Wesley, June 1999.
[4]
S. Hangal, M. S. Lam, "Tracking Down Software Bugs Using Automatic Anomaly Detection," 24th International Conference on Software Engineering, 2002, pp. 291--300.
[5]
F. Khomh, M. D. Penta, and Y. G. Gueheneuc, "An Exploratory Study of the Impact of Code Smells on Software Change-proneness," 16th Working Conference on Reverse Engineering, 2009, pp. 75--84.
[6]
R. Marinescu, "Detection strategies: Metrics-based rules for detecting design flaws," in Proceedings of the 20th International Conference on Software Maintenance, 2004, pp. 350--359.
[7]
T. Zimmermann, R. Premraj, A. Zeller, "Predicting Defects for Eclipse," Third International Workshop on Predictor Models in Software Engineering (PROMISE'07: ICSE Workshops 2007), pp.9--16, 2007.

Cited By

View all
  • (2021)A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell DetectionIEEE Access10.1109/ACCESS.2021.30498239(8695-8707)Online publication date: 2021

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WETSoM '11: Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
May 2011
90 pages
ISBN:9781450305938
DOI:10.1145/1985374
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: 24 May 2011

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. code construct metrics
  2. empirical analysis
  3. post release failures

Qualifiers

  • Research-article

Conference

ICSE11
Sponsor:
ICSE11: International Conference on Software Engineering
May 24, 2011
HI, Waikiki, Honolulu, USA

Upcoming Conference

ICSE 2025

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 11 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2021)A Novel Four-Way Approach Designed With Ensemble Feature Selection for Code Smell DetectionIEEE Access10.1109/ACCESS.2021.30498239(8695-8707)Online publication date: 2021

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media