Zobrazeno 1 - 10
of 568
pro vyhledávání: '"D. Richard Kuhn"'
Publikováno v:
IEEE Software. 39:62-67
Publikováno v:
IEEE Transactions on Software Engineering. 48:2606-2628
Combinatorial testing typically considers a single input model and creates a single test set that achieves t-way coverage. This paper addresses the problem of combinatorial test generation for multiple input models with shared parameters. We formally
Publikováno v:
2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Publikováno v:
2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Autor:
Huadong Feng, Xiaolei Ren, Qiping Wei, Yu Lei, Raghu Kacker, D. Richard Kuhn, Dimitris E. Simos
Publikováno v:
2023 IEEE Conference on Software Testing, Verification and Validation (ICST).
Publikováno v:
Computer. 55:82-86
Publikováno v:
2022 IEEE 29th Annual Software Technology Conference (STC).
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 90:951-964
We briefly review properties of explainable AI proposed by various researchers. We take a structural approach to the problem of explainable AI, examine the feasibility of these aspects and extend them where appropriate. Afterwards, we review combinat
Publikováno v:
2022 IEEE International Conference On Artificial Intelligence Testing (AITest).
Publikováno v:
Mathematics in Computer Science. 15:715-739
In the twenty-first century, our life will increasingly depend on software-based products and complex interconnected systems. Thus, the quality and security of software-based systems is a world-wide concern. Combinatorial testing is a versatile metho