Software is a major component of any computer system. To maintain the quality of software,
early fault localization is necessary. Many different fault-localization methods have been …

In software debugging, fault localization is the most difficult, expensive, tedious, and time-
consuming task, particularly for large-scale software systems. This is due to the fact that it …

Security vulnerabilities are among the major concerns of modern software engineering.
Successful results of machine learning techniques in various challenging applications have …

Context Model checking is an automatic and precise technique in verification and refutation
of software and hardware systems. Despite its advantages, the state space explosion …

We present a new algorithm, Score Weighted Random Walks (SWRW), for behavioral fault
localization. Behavioral fault localization localizes faults (bugs) in programs to a group of …

Fault localization is one of the most expensive and time consuming jobs in program
debugging. Many approaches were proposed in order to locate faults effectively and …

Concurrent systems are often modeled using an interleaving semantics. Since system
designers tend to think sequentially, it is highly probable that they do not foresee some …

Statistical fault localization (SFL) techniques are commonly compared and evaluated using
a measure known as" Rank Score" and its associated evaluation process. In the latter …

Frequent subgraph analysis is a class of techniques and algorithms to find repeated sub-
structures in graphs known as frequent subgraphs or graph patterns. In the field of Software …

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