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TSE
2010
151views more  TSE 2010»
13 years 3 months ago
The Probabilistic Program Dependence Graph and Its Application to Fault Diagnosis
This paper presents an innovative model of a program’s internal behavior over a set of test inputs, called the probabilistic program dependence graph (PPDG), that facilitates pr...
George K. Baah, Andy Podgurski, Mary Jean Harrold
ICSE
2005
IEEE-ACM
14 years 4 months ago
An empirical study of fault localization for end-user programmers
End users develop more software than any other group of programmers, using software authoring devices such as e-mail filtering editors, by-demonstration macro builders, and spread...
Joseph R. Ruthruff, Margaret M. Burnett, Gregg Rot...
AMR
2006
Springer
138views Multimedia» more  AMR 2006»
13 years 8 months ago
Fast Structuring of Large Television Streams Using Program Guides
An original task of structuring and labeling large television streams is tackled in this paper. Emphasis is put on simple and efficient methods to detect precise boundaries of prog...
Xavier Naturel, Guillaume Gravier, Patrick Gros
PASTE
2010
ACM
13 years 9 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
ICSE
2009
IEEE-ACM
13 years 11 months ago
Lightweight fault-localization using multiple coverage types
Lightweight fault-localization techniques use program coverage to isolate the parts of the code that are most suspicious of being faulty. In this paper, we present the results of ...
Raúl A. Santelices, James A. Jones, Yanbing...