Spectrum-based Fault Diagnosis for Service-Oriented Software Systems

Spectrum-based Fault Diagnosis for Service-Oriented Software Systems

Chen, C.
Gross, H.G.
Zaidman, A.E.

Electrical Engineering, Mathematics and Computer Science

Software Computer Technology

2012-12-31

Preprint of paper published in: 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 17-19 December 2012; doi:10.1109/SOCA.2012.6449440 Due to the loosely coupled and highly dynamic nature of service-oriented systems, the actual configuration of such system only fully materializes at runtime, rendering many of the traditional quality assurance approaches useless. In order to enable service systems to recover from and adapt to runtime failures, an important step is to detect failures and diagnose problematic services automatically. This paper presents a lightweight, fully automated, spectrum-based diagnosis technique for service-oriented software systems that is combined with a framework-based online monitor. An experiment with a case system is set up to validate the feasibility of pinpointing problematic service operations. The results indicate that this approach is able to identify

residual defect
fault localization
online monitoring
oracle
service framework

http://resolver.tudelft.nl/uuid:a908b55c-cec1-4746-8cb4-752f1dd01bcd

Delft University of Technology, Software Engineering Research Group

1872-5392

Technical Report Series TUD-SERG-2012-023

Institutional Repository

report

(c) 2012 The Author(s)
IEEE