Jan 7, 2013 · However, effective and accurate fault localization remains an elusive goal at present. This paper presents a novel approach, which is based on ...
Abstract—Software testing and debugging play a vital role in developing reliable software. A crucial part of debugging is fault localization—the process of ...
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What are software fault localization techniques?
Fault localization, i.e., identifying erroneous lines of code in a buggy program, is a tedious process, which often requires considerable manual effort and ...
... code. This dissertation presents a new fault localization approach that embodies our insight and introduces Bernoulli divergence for feature selection and ...
Fault localization, i.e., identifying erroneous lines of code in a buggy program, is a tedious process, which often requires considerable manual effort and ...
A Dynamic Fault Localization Technique with Noise Reduction for Java Programs. ... Localization of Faults in Software Programs using Bernoulli Divergences.
This paper presents a novel framework for fault localization based on latent divergences - an effective method for feature selection in machine learning. Our ...
Nov 7, 2021 · The current study proposes a model that effectively ranks static and dynamic parameters through Aggregation-Based Neural Ranking (ABNR).
Missing: Bernoulli | Show results with:Bernoulli
Fault localization can be divided into two major phases. The first part is to use a method to identify suspicious code that may contain program bugs. The second ...
Missing: Bernoulli divergences.
Localization of faults in radix-n signed digit adders. 66. Localization of faults in software programs using Bernoulli divergences. 67. Localization of faulty ...