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SIGSOFT
2007
ACM
14 years 9 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
ACL
2009
13 years 6 months ago
Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora
In this paper, we study the problem of extracting technical paraphrases from a parallel software corpus, namely, a collection of duplicate bug reports. Paraphrase acquisition is a...
Xiaoyin Wang, David Lo, Jing Jiang, Lu Zhang, Hong...
PKDD
2004
Springer
199views Data Mining» more  PKDD 2004»
14 years 2 months ago
SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections
Abstract: In this demonstration we introduce a technology to support knowledge structuring processes already at the time of their creation by building up concept structures in real...
Christian Biemann, Karsten Böhm, Gerhard Heye...
IWPC
2003
IEEE
14 years 2 months ago
Facilitating Program Comprehension by Mining Association Rules from Source Code
Program comprehension is an important part of software maintenance, especially when program structure is complex and documentation is unavailable or outdated. Data mining can prod...
Christos Tjortjis, Loukas Sinos, Paul J. Layzell