Faults In Web Services Research Articles

On the Faults Found in REST APIs by Automated Test Generation

RESTful web services are often used for building a wide variety of enterprise applications. The diversity and increased number of applications using RESTful APIs means that increasing amounts of resources are spent developing and testing these systems. Automation in test data generation provides a useful way of generating test data in a fast and efficient manner. However, automated test generation often results in large test suites that are hard to evaluate and investigate manually. This article proposes a taxonomy of the faults we have found using search-based software testing techniques applied on RESTful APIs. The taxonomy is a first step in understanding, analyzing, and ultimately fixing software faults in web services and enterprise applications. We propose to apply a density-based clustering algorithm to the test cases evolved during the search to allow a better separation between different groups of faults. This is needed to enable engineers to highlight and focus on the most serious faults. Tests were automatically generated for a set of eight case studies, seven open-source and one industrial. The test cases generated during the search are clustered based on the reported last executed line and based on the error messages returned, when such error messages were available. The tests were manually evaluated to determine their root causes and to obtain additional information. The article presents a taxonomy of the faults found based on the manual analysis of 415 faults in the eight case studies and proposes a method to support the classification using clustering of the resulting test cases.

Trapping Runtime Faults from Web Service Fault Ontology

The ontology offers a clear considerate of the runtime faults in web services and helps to share this common understanding with users and applications. This paper presents Web Service Fault Ontology and to trap the runtime faults from the Web Services Fault Ontology. Web Service Fault Ontology has been developed to represent the different types of faults that can occur during the interactions between service users, service publishers and service registries: publishing, discovery, binding and execution of web services. Ontology has been proposed to define the intended behavior of web services from the service provider. A sample web service application was developed for testing the proposed model.

Run Time Fault Detection System for Web Service Composition and Execution

Composite web services are a group of web services which together offer service functionality. Faults can occur during composition or execution of any of the services that make up the composite services. Run-time monitoring of web service execution enables real-time detection of faults concurrent with the service execution. This paper extends our previous work on fault detection of single web services to detect faults in composite web services. Fault handler has been proposed to detect faults during composition of web services for static, semi dynamic and dynamic compositions. Policies have been used to denote the intended run-time behavior of web services. Web service execution has been monitored against these policies to detect run-time faults. The proposed work has been tested using a sample web service application and the results are presented

Automata for Web Services Fault Monitoring and Diagnosis

Like any software, web service fault management is also required to go through different phases of fault management lifecycle. Model based diagnosis has been a well established practice for its several positive aspects including cognitively being better understood by development and testing teams. Automata is a simple and formally well defined model being used for monitoring and diagnosis of system faults. For the reason, here we have reviewed works on automata for web service fault management and also propose a model of stochastic automata for the purpose.

Web Service Diagnoser Model for managing faults in web services

Reliability is an important criterion to facilitate extensive deployment of web service technology for commercial business applications. Run-time monitoring and fault management of web services are essential to ensure uninterrupted and continuous availability of web services. This paper presents WISDOM (Web Service Diagnoser Model) a generic architecture for detecting faults during execution of web services. Policies have been proposed to describe the intended behavior of web services and faulty behavior would be detected as deviations or inconsistencies with respect to the specified behavior. The model proposes the use of monitoring components in service registries and service providers to detect run-time faults during publishing, discovery, binding and execution of web services. An independent fault diagnoser is proposed to coordinate the individual monitoring components and also act as a repository for the specified web service policies. The proposed model has been tested with a sample web service application and the results obtained are presented.

Determining the dependability of Service-Oriented Architectures

This paper introduces our novel method for the generation of fault injection test cases and failure detection by the use of our enhanced fault and failure models. Our enhanced fault model is an extension of a standard fault model that is constructed through decomposition to create a framework that facilitates automatic test generation. The failure model is based on a set of failure modes and again decomposed to create a framework to aid in the automatic detection of system failures. We demonstrate the Web Service-Fault Injection Technology (WS-FIT) method and fault injection tools with the use of some simulated real-world system.