Smoke Test Planning using Answer Set Programming
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Smoke testing is an important method to increase stability and reliability of hardware-dependent 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.
Details
Originalsprache | Englisch |
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Seiten (von - bis) | 57-65 |
Seitenumfang | 9 |
Fachzeitschrift | International journal of interactive multimedia and artificial intelligence : IJIMAI |
Jahrgang | 6 |
Ausgabenummer | 5 |
Publikationsstatus | Veröffentlicht - 1 Feb. 2021 |
Peer-Review-Status | Ja |
Externe IDs
Scopus | 85108376469 |
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