NDSU North Dakota State University
Fargo, N.D.

NDSU Institutional Repository

Towards Providing Test Case Meta-Data to Assist Dynamic Regression Test Scheduling

Show simple item record

dc.description.abstract Autonomic software is typically characterized by dynamic adaptation, a self-management process in which the system adds, removes, and replaces its own components at runtime. At the end of maintenance, the modified software would be retested to: (1) validate added or updated software features, and (2) ensure that new errors were not introduced into previously tested components, i.e., regression testing. King et al [14] introduced an implicit self-test characteristic into autonomic software. His approach modifies the success of a runtime testing approach for autonomic software depends on the way tests are selected and scheduled for execution, which still remains an open problem. This paper focuses on determining the information that would be collected during initial test runs to facilitate selecting and prioritizing automated tests. Finally, a test case metadata provider is developed which analyze the generated test case information, which can assist in dynamics regression test scheduling. en_US
dc.title Towards Providing Test Case Meta-Data to Assist Dynamic Regression Test Scheduling en_US
dc.date.accessioned 2013-02-08T19:40:28Z
dc.date.available 2013-02-08T19:40:28Z
dc.date.issued 2013-02-08
dc.identifier.uri http://hdl.handle.net/10365/22559
dc.thesis.degree Paper (M.S.)--North Dakota State University, 2013. en_US
dc.contributor.advisor Nygard, Kendall
dc.subject.lcsh Autonomic computing. en_US
dc.subject.lcsh Computer software -- Testing.
dc.subject.lcsh Adaptive computing systems.
dc.creator.author Katiyar, Arti
dc.degree.departmentCollege Master of Science / Computer Science, College of Science and Mathematics, 2013.
dc.date.created 2013

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search


Your Account