Sökning: onr:"swepub:oai:DiVA.org:hh-49111" >
Locality-Based Test...
Locality-Based Test Selection for Autonomous Agents
-
- Entekhabi, Sina (författare)
- Högskolan i Halmstad,Akademin för informationsteknologi
-
- Mostowski, Wojciech, 1976- (författare)
- Högskolan i Halmstad,Akademin för informationsteknologi
-
- Mousavi, Mohammad Reza, 1978- (författare)
- Högskolan i Halmstad,Akademin för informationsteknologi,King's College London, London, United Kingdom
-
visa fler...
-
- Arts, Thomas (författare)
- Quviq Ab, Gothenburg, Sweden
-
visa färre...
-
(creator_code:org_t)
- 2022-05-10
- 2022
- Engelska.
-
Ingår i: Testing Software and Systems. - Cham : Springer Science+Business Media B.V.. - 9783031046728 ; , s. 73-89
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Automated random testing is useful in finding faulty corner cases that are difficult to find by using manually-defined fixed test suites. However, random test inputs can be inefficient in finding faults, particularly in systems where test execution is time- and resource-consuming. Hence, filtering out less-effective test cases by applying domain knowledge constraints can contribute to test effectiveness and efficiency. In this paper, we provide a domain specific language (DSL) for formalising locality-based test selection constraints for autonomous agents. We use this DSL for filtering randomly generated test inputs. To evaluate our approach, we use a simple case study of autonomous agents and evaluate our approach using the QuickCheck tool. The results of our experiments show that using domain knowledge and applying test selection filters significantly reduce the required number of potentially expensive test executions to discover still existing faults. We have also identified the need for applying filters earlier during the test data generation. This observation shows the need to make a more formal connection between the data generation and the DSL-based filtering, which will be addressed in future work. © 2022, IFIP International Federation for Information Processing.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Autonomous agents
- Domain specific languages
- Model-based testing
- Scenario-based testing
- Test input generation
- Test selection
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas