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APLAS
2000
ACM
13 years 9 months ago
Kima - An Automated Error Correction System for Concurrent Logic Programs
We have implemented Kima, an automated error correction system for concurrent logic programs. Kima corrects near-misses such as wrong variable occurrences in the absence of explici...
Yasuhiro Ajiro, Kazunori Ueda
ICML
2009
IEEE
14 years 5 months ago
Compositional noisy-logical learning
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
Alan L. Yuille, Songfeng Zheng
FOIKS
2006
Springer
13 years 8 months ago
Consistency Checking Algorithms for Restricted UML Class Diagrams
Abstract. Automatic debugging of UML class diagrams helps in the visual specification of software systems because users cannot detect errors in logical inconsistency easily. This p...
Ken Kaneiwa, Ken Satoh
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
OOPSLA
2010
Springer
13 years 3 months ago
Random testing for higher-order, stateful programs
Testing is among the most effective tools available for finding bugs. Still, we know of no automatic technique for generating test cases that expose bugs involving a combination ...
Casey Klein, Matthew Flatt, Robert Bruce Findler