Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/29545
Autoria: Caniço, A. B.
Santos, A. L.
Editor: Feldman, M. Q., and Hilton, M.
Data: 2023
Título próprio: Witter: A library for white-box testing of introductory programming algorithms
Título e volume do livro: SPLASH-E 2023: Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E
Paginação: 69 - 74
Título do evento: 2023 ACM SIGPLAN International Symposium on SPLASH-E
Referência bibliográfica: Caniço, A. B., & Santos, A. L. (2023). Witter: A library for white-box testing of introductory programming algorithms. In M. Q. Feldman, & M. Hilton (Chairs), SPLASH-E 2023: Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E (pp. 69-74). Association for Computing Machinery. https://doi.org/10.1145/3622780.3623650
ISBN: 979-8-4007-0390-4
DOI (Digital Object Identifier): 10.1145/3622780.3623650
Palavras-chave: Programming education
White-box testing
Assessment
Feedback
Resumo: Software testing is mostly performed in a black-box manner, that is, without incorporating any knowledge of the internal workings of programs into the tests. This practice usually suffices for enterprises and general practitioners, where the focus lies on producing reliable results while most algorithmic tasks are provided by third-party libraries. However, for computer science students and the like, it might not be straightforward to discern the underlying causes of an incorrect test result or to understand why certain algorithmic goals are not met. We present Witter, a software testing library that allows programming educators to define white-box tests for Java source code. Our tests analyze the execution of a method against a reference solution, to verify that the code not only produces correct results but is also in accordance with a desired algorithm behavior.
Arbitragem científica: yes
Acesso: Acesso Aberto
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