Smoke Test Planning using Answer Set Programming

Author
Keywords
Abstract
Smoke testing is an important method to increase stability and reliability of hardware- gramming, Testing depending systems. Due to concurrent access to the same physical resource and the impracticality of the use of virtualization, smoke testing requires some form of planning. In this paper, we propose to decompose test cases in terms of atomic actions consisting of preconditions and effects. We present a solution based on answer set programming with multi-shot solving that automatically generates short parallel test plans. Experiments suggest that the approach is feasible for non-inherently sequential test cases and scales up to thousands of test cases.
Year of Publication
2021
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
6
Issue
Special Issue on Artificial Intelligence, Paving the Way to the Future
Number
5
Number of Pages
57-65
Date Published
03/2021
ISSN Number
1989-1660
URL
https://www.ijimai.org/journal/sites/default/files/2021-02/ijimai_6_5_6.pdf
DOI
10.9781/ijimai.2021.02.003
Attachment