Paper Info
Title
A Grouping-Based Strategy to Improve the Effectiveness of Fault Localization Techniques
Abstract
Fault localization is one of the most expensive activities of program debugging, which is why the recent years have witnessed the development of many different fault localization techniques. This paper proposes a grouping-based strategy that can be applied to various techniques in order to boost their fault localization effectiveness. The applicability of the strategy is assessed over – Tarantula and a radial basis function neural network-based technique; across three different sets of programs (the Siemens suite, grep and gzip). Results are suggestive that the grouping-based strategy is capable of significantly improving the fault localization effectiveness and is not limited to any particular fault localization technique. The proposed strategy does not require any additional information than what was already collected as input to the fault localization technique, and does not require the technique to be modified in any way.
Year
DOI
Venue
2010
10.1109/QSIC.2010.80
QSIC
Keywords
Field
DocType
fault location,program debugging,radial basis function networks,fault localization effectiveness,grouping based strategy,program debugging,radial basis function neural network based technique,fault localization,grouping-based strategy,software/program debugging,suspiciousness of code
Fault coverage,Suite,Radial basis function neural,Computer science,Software bug,Real-time computing,Software,Artificial neural network,Debugging,Siemens
Conference
Citations 
PageRank 
References 
6
0.43
0
Authors
4
Name
Order
Citations
PageRank
Vidroha Debroy149320.20
W. Eric Wong228456.75
Xiaofeng Xu342537.75
Byoungju Choi444534.01