Automated diagnosis of errors detected during software testing can improve the efficiency of the debugging process, and can thus help to make software more reliable. In this pape...
Peter Zoeteweij, Rui Abreu, Rob Golsteijn, Arjan J...
In this paper, we propose a diagnostic algorithm for the case where distributed system specifications (implementations) are given in the form of communicating finite state machine...
Abderrazak Ghedamsi, Gregor von Bochmann, Rachida ...
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
This paper investigates the practical issues in applying network tomography to monitor failures. We outline an approach for selecting paths to monitor, detecting and confirming th...
This paper presents a probabilistic event-driven fault localization technique, which uses a probabilistic symptomfault map as a fault propagation model. The technique isolates the...