Fault localisation aims to reduce the debugging efforts of human developers by highlighting
the program elements that are suspected to be the root cause of the observed failure …

Both software debugging and artificial intelligence techniques are hot topics in the current
field of software engineering. Debugging techniques, which comprise fault localization and …

Context Fault localization is one of the most important debugging tasks. Hence, many
automatic fault localization techniques have been proposed to reduce the burden on …

Abstract Top‐Rank‐K Frequent Itemset (or Pattern) Mining (FPM) is an important data
mining task, where user decides on the number of top frequency ranks of patterns (itemsets) …

Much research on automated program debugging often assumes that bug fix location (s)
indicate the faults' root causes and that root causes of faults lie within single code elements …

This paper proposes a new approach to rollback-recovery for mobile agent systems, and
describes its implementation in the MESSENGERS mobile agents system. The used …

This paper introduces a novel approach for diagnosing automotive systems and identifying
faults at design-time, based on Sequence Mining and Property Verification for Fault …

Fault localization problem is one of the most difficult processes in software debugging.
Several spectrum-based ranking metrics have been proposed and none is shown to be …

Fault localization problem is one of the most difficult processes in software debugging. The
current constraint-based approaches draw strength from declarative data mining and allow …

Constraint Programming is a powerful paradigm to model and solve combinatorial problems.
While there are many kinds of constraints, the table constraint is perhaps the most significant …