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» AFID: an automated approach to collecting software faults
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AADEBUG
2005
Springer
14 years 1 months ago
Experimental evaluation of using dynamic slices for fault location
Dynamic slicing algorithms have been considered to aid in debugging for many years. However, as far as we know, no detailed studies on evaluating the benefits of using dynamic sl...
Xiangyu Zhang, Haifeng He, Neelam Gupta, Rajiv Gup...
PROMISE
2010
13 years 2 months ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...
AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
13 years 9 months ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
DASC
2006
IEEE
13 years 11 months ago
Automated Caching of Behavioral Patterns for Efficient Run-Time Monitoring
Run-time monitoring is a powerful approach for dynamically detecting faults or malicious activity of software systems. However, there are often two obstacles to the implementation...
Natalia Stakhanova, Samik Basu, Robyn R. Lutz, Joh...
TC
2011
13 years 2 months ago
An Architecture for Fault-Tolerant Computation with Stochastic Logic
—Mounting concerns over variability, defects and noise motivate a new approach for digital circuitry: stochastic logic, that is to say, logic that operates on probabilistic signa...
Weikang Qian, Xin Li, Marc D. Riedel, Kia Bazargan...