SIGSOFT '95 Proceedings of the 3rd ACM SIGSOFT symposium on Foundations of software engineering
A safe, efficient regression test selection technique
ACM Transactions on Software Engineering and Methodology (TOSEM)
Empirical Studies of a Safe Regression Test Selection Technique
IEEE Transactions on Software Engineering
Regression test selection for Java software
OOPSLA '01 Proceedings of the 16th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
.NET Web Services: Architecture and Implementation with .NET
.NET Web Services: Architecture and Implementation with .NET
J2EE Web Services
Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
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Building Web Services with Java: Making Sense of XML, SOAP, WSDL, and UDDI (2nd Edition)
Building Web Services with Java: Making Sense of XML, SOAP, WSDL, and UDDI (2nd Edition)
Towards Automatic Regression Test Selection for Web Services
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 02
Patterns: direct connections for intra- and inter-enterprise
Patterns: direct connections for intra- and inter-enterprise
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As Web services grow in popularity and use, it is becoming more important for organizations to verify their evolving services to ensure that they are providing a desired level of confidence and one of the most common ways to perform this verification is regression testing. Safe regression test selection techniques are often employed in conjunction with regression testing to reduce the associated costs of testing without reducing the level of confidence provided. In a previous work, a framework which automates the safe regression test selection and regression testing processes was developed in a decentralized, end-to-end manner. This paper reports an empirical study of the framework designed to compare the cost of performing the proposed approach and running the selected tests with the cost of running all tests without performing a selection step. The results indicate that the framework can be effective in reducing the costs of performing regression test selection.