Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems using Bayesian Classification
Ericsson AB.
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS. (Model-based Computing Systems (MCS))ORCID iD: 0000-0001-8457-4105
Linköping University.
Linköping University.
Show others and affiliations
2016 (English)In: Software Quality, Reliability and Security (QRS), 2016 IEEE International Conference on, IEEE conference proceedings, 2016, 423-430 p.Conference paper, Published paper (Refereed)
Abstract [en]

We suggest a Bayesian approach to the problem of reducing bug turn-around time in large software development organizations. Our approach is to use classification to predict where bugs are located in components. This classification is a form of automatic fault localization (AFL) at the component level. The approach only relies on historical bug reports and does not require detailed analysis of source code or detailed test runs. Our approach addresses two problems identified in user studies of AFL tools. The first problem concerns the trust in which the user can put in the results of the tool. The second problem concerns understanding how the results were computed. The proposed model quantifies the uncertainty in its predictions and all estimated model parameters. Additionally, the output of the model explains why a result was suggested. We evaluate the approach on more than 50000 bugs.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016. 423-430 p.
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-205395DOI: 10.1109/QRS.2016.54OAI: oai:DiVA.org:kth-205395DiVA: diva2:1088846
Conference
Proceedings of IEEE International Conference on Software Quality, Reliability & Security (QRS),Vienna, Austria, 1-3 Aug. 2016
Note

QC 20170704

Available from: 2017-04-17 Created: 2017-04-17 Last updated: 2017-07-04Bibliographically approved

Open Access in DiVA

fulltext(941 kB)5 downloads
File information
File name FULLTEXT01.pdfFile size 941 kBChecksum SHA-512
a5790174f38ba649a70456a549e032face3a3d7fe593dd381df253031e478d9de6e0aa8445e0edefe1c1ba7a32b6c4179f64937aa64e81ab981f8f3a82725a35
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Broman, David
By organisation
Software and Computer systems, SCS
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 25 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf