An Overview and Evaluation of Black-Box Testing Methods for System Testing

Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2019 and Theory and Practice in Modern Computing 2019: Part of the Multi Conference on Computer Science and Information Systems 2019 (MCCSIS 2019) 2019
Anastasija Špakova, Marina Uhanova

The paper provides an overview of existing coverage-based functional black-box testing methods in order to choose testing method for checking student laboratory works in the study subject “Algorithmization and Programming of Solutions” at RTU Faculty of Computer Science and Information Technology. The aim is to increase the quality of the study subject and to automate student work checking process. It is needed to perform system type of testing in order to check student works. There are two similar testing methods that can help in checking works – scenario-based and domain testing. Nevertheless, the methods are similar and in theory should produce similar results, authors of the paper want to confirm if it is true or not. Practical application and evaluation of these methods will be presented in the paper.

Atslēgas vārdi
Black-Box Testing Methods, Domain Testing Method, Scenario-Based Testing Method
DOI
10.33965/tpmc2019_201907c030
Hipersaite
http://www.iadisportal.org/digital-library/an-overview-and-evaluation-of-black-boxtesting-methods-for-system-testing

Špakova, A., Uhanova, M. An Overview and Evaluation of Black-Box Testing Methods for System Testing. No: Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2019 and Theory and Practice in Modern Computing 2019: Part of the Multi Conference on Computer Science and Information Systems 2019 (MCCSIS 2019), Portugāle, Porto, 16.-19. jūlijs, 2019. [S.l.]: IADIS Press, 2019, 225.-229.lpp. ISBN 978-989-8533-92-0. Pieejams: doi:10.33965/tpmc2019_201907c030

Publikācijas valoda
English (en)