Smoke Test Planning using Answer Set Programming

Autor: Tobias Philipp, Valentin Roland, Lukas Schweizer
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 5, Pp 57-65 (2021)
Druh dokumentu: article
ISSN: 1989-1660
DOI: 10.9781/ijimai.2021.02.003
Popis: 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.
Databáze: Directory of Open Access Journals