Runtime anomalies occurring to service-based systems (SBSs) must be located and fixed in a timely manner in order to guarantee successful delivery of outcomes in response to user requests. Monitoring all component services constantly is impractical due to excessive resource consumption. Inspecting all component services upon anomalies is time-consuming and thus also impractical. In this work, we propose a novel approach that employs spectrum-based fault localisation techniques to locate runtime anomalies in SBSs. Large-scale experiments are conducted and experimental results are presented to demonstrate the effectiveness and efficiency of the proposed approach
Spectrum-based Fault Localization (SBFL) is anemerging debugging technique that assists software dev...
Due to the fact that software systems cannot be tested exhaustively, software systems must cope with...
In the past, spectrum-based fault localization (SBFL) techniques have been developed to pinpoint a f...
Runtime anomalies occurring to service-based systems (SBSs) must be located and fixed in a timely ma...
Abstract-Runtime anomalies occurring to service-based systems (SBSs) that are dynamically composed o...
In a distributed, dynamic and volatile operating environment, runtime anomalies occurring in service...
In a distributed, dynamic and volatile operating environment, runtime anomalies occurring in service...
In this thesis, we have focused on applying Spectrum-based Fault Localization (SFL) to diagnose Serv...
Abstract—Due to the loosely coupled and highly dynamic nature of service-oriented systems, the actua...
Due to their loosely coupled and highly dynamic nature, service-oriented systems offer many benefits...
Preprint of paper published in: 5th IEEE International Conference on Service-Oriented Computing and ...
Spectrum based fault localisation determines how suspicious a line of code is with respect to being ...
This document describes the research performed on fault isolation in dynamic distributed systems at ...
Spectrum-Based Fault Localization (SFL) is a popular approach for diagnosing faulty systems. SFL alg...
the date of receipt and acceptance should be inserted later Abstract Due to their loosely coupled an...
Spectrum-based Fault Localization (SBFL) is anemerging debugging technique that assists software dev...
Due to the fact that software systems cannot be tested exhaustively, software systems must cope with...
In the past, spectrum-based fault localization (SBFL) techniques have been developed to pinpoint a f...
Runtime anomalies occurring to service-based systems (SBSs) must be located and fixed in a timely ma...
Abstract-Runtime anomalies occurring to service-based systems (SBSs) that are dynamically composed o...
In a distributed, dynamic and volatile operating environment, runtime anomalies occurring in service...
In a distributed, dynamic and volatile operating environment, runtime anomalies occurring in service...
In this thesis, we have focused on applying Spectrum-based Fault Localization (SFL) to diagnose Serv...
Abstract—Due to the loosely coupled and highly dynamic nature of service-oriented systems, the actua...
Due to their loosely coupled and highly dynamic nature, service-oriented systems offer many benefits...
Preprint of paper published in: 5th IEEE International Conference on Service-Oriented Computing and ...
Spectrum based fault localisation determines how suspicious a line of code is with respect to being ...
This document describes the research performed on fault isolation in dynamic distributed systems at ...
Spectrum-Based Fault Localization (SFL) is a popular approach for diagnosing faulty systems. SFL alg...
the date of receipt and acceptance should be inserted later Abstract Due to their loosely coupled an...
Spectrum-based Fault Localization (SBFL) is anemerging debugging technique that assists software dev...
Due to the fact that software systems cannot be tested exhaustively, software systems must cope with...
In the past, spectrum-based fault localization (SBFL) techniques have been developed to pinpoint a f...