Statistical Bug Isolation for Consensus Systems

The testing of consensus systems has received growing attention and recent testing tools generate many faulty executions. However, there is a lack of methods that automatically analyze these outputs to identify the root causes of the bugs they found.<br/>This paper presents Isolation, a statistical bug isolation algorithm that uses message-based...

GitFL: Automated fault localization for environments where code-changes by multiple developers are tested simultaneously

Background: For rigorous software testing, integration and end-to-end tests are essential to ensure the expected behavior of multiple interacting components of the system. When software is subjected to integration or end-to-end tests, it is often unfeasible to test every code change individually, as the runtime of these tests is usually...

Automated crash fault localization

Debugging application crashes is an expensive and time-taking process, relying on the developer’s expertise, and requiring knowledge about the system. Over the years, the research community has developed several automated approaches to ease debugging. Among those approaches, search-based crash reproduction, which tries to generate a test case...

Exploring DDU in Practice

The quality of test suites is commonly measured using adequacy metrics that focus on error detection, like test coverage. However, the diagnostic performance of spectrum-based fault localization techniques, that can potentially reduce the time spent on debugging, rely on diagnosability of test suites --- the property of faults to be easily and...

Analysis of service diagnosis improvement through increased monitoring granularity

Due to their loosely coupled and highly dynamic nature, service-oriented systems offer many benefits for realizing fault tolerance and supporting trustworthy computing. They enable automatic system reconfiguration when a faulty service is detected. Spectrum-based fault localization (SFL) is a statistics-based diagnosis technique that can be...

Revisiting the Practical Use of Automated Software Fault Localization Techniques

In the last two decades, a great amount of effort has been put in researching automated debugging techniques to support developers in the debugging process. However, in a widely cited user study published in 2011, Parnin and Orso found that research in automated debugging techniques made assumptions that do not hold in practice, and suggested...

Analysis of service diagnosis improvement through increased monitoring granularity

Due to their loosely coupled and highly dynamic nature, service-oriented systems offer many benefits for realizing fault tolerance and supporting trustworthy computing. They enable automatic system reconfiguration when a faulty service is detected. Spectrum-based fault localization (SFL) is a statistics-based diagnosis technique that can be...

Automated Fault Localization for Service-Oriented Software Systems

In this thesis, we have focused on applying Spectrum-based Fault Localization (SFL) to diagnose Service-Oriented Systems at runtime. We reused a framework-based online monitoring technique to obtain the service transaction information. We devised a three-phased oracle and combined this with monitoring to detect system failures at runtime. Both...

Comparing Ochiai and Relief for Spectrum-based Fault Localization

Fault localization is one of the activities of system diagnosis and its goal is to pinpoint the precise locations of faults in systems. This process is recognized as one of the most tedious, time-consuming and expensive undertakings of fault diagnosis. Consequently research in this domain have lead to the birth of numerous approaches to automate...

Spectrum-based Fault Diagnosis for Service-Oriented Software Systems

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...

Spectrum-based Fault Localization in Embedded Software

Locating software components that are responsible for observed failures is a time-intensive and expensive phase in the software development cycle. Automatic fault localization techniques aid developers/testers in pinpointing the root cause of software failures, as such reducing the debugging effort. Automatic fault localization has been an...

On the Performance of Fault Screeners in Software Development and Deployment

Preprint of paper published in: ENASE 2008 - Proceedings of the 3rd International Conference on Evaluation of Novel Approaches to Software Engineering, 4-7 May 2008 Fault screeners are simple software (or hardware) constructs that detect variable value errors based on unary invariant checking. In this paper we evaluate and compare the...