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...
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...
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...
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
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 ...