English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Localizing Bugs in Program Executions with Graphical Models

Dietz, L., Dallmeier, V., Zeller, A., & Scheffer, T. (2009). Localizing Bugs in Program Executions with Graphical Models. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), Advances in Neural Information Processing Systems 22 (NIPS09) (pp. 468-477). La Jolla, CA: NIPS Foundation. Retrieved from http://books.nips.cc/papers/files/nips22/NIPS2009_0704.pdf.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-192A-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-A576-A
Genre: Conference Paper

Files

show Files
hide Files
:
bernoulligraph-v1.4.pdf (Any fulltext), 376KB
 
File Permalink:
-
Name:
bernoulligraph-v1.4.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Dietz, Laura1, Author           
Dallmeier, Valentin2, Author
Zeller, Andreas2, Author
Scheffer, Tobias3, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              
3Machine Learning, MPI for Informatics, Max Planck Society, ou_1116552              

Content

show
hide
Free keywords: -
 Abstract: We devise a graphical model that supports the process of debugging software by guiding developers to code that is likely to contain defects. The model is trained using execution traces of passing test runs; it reflects the distribution over transitional patterns of code positions. Given a failing test case, the model determines the least likely transitional pattern in the execution trace. The model is designed such that Bayesian inference has a closed-form solution. We evaluate the Bernoulli graph model on data of the software projects AspectJ and Rhino.

Details

show
hide
Language(s): eng - English
 Dates: 20092009
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 520389
URI: http://books.nips.cc/papers/files/nips22/NIPS2009_0704.pdf
Other: Local-ID: C1256DBF005F876D-1869DF78FD8922E8C12576C0005085CD-Dietz2009
 Degree: -

Event

show
hide
Title: 23rd Annual Conference on Neural Information Processing Systems
Place of Event: Vancouver, Canada
Start-/End Date: 2009-12-07 - 2009-12-10

Legal Case

show

Project information

show

Source 1

show
hide
Title: Advances in Neural Information Processing Systems 22 (NIPS09)
  Abbreviation : NIPS 2009
Source Genre: Proceedings
 Creator(s):
Bengio, Yoshua1, Editor
Schuurmans, Dale1, Editor
Lafferty, John1, Editor
Williams, Chris1, Editor
Culotta, Aron1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: La Jolla, CA : NIPS Foundation
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 468 - 477 Identifier: -