MATEC Web Conf.
Volume 309, 20202019 International Conference on Computer Science Communication and Network Security (CSCNS2019)
|Number of page(s)||8|
|Section||Network Security and Software Design|
|Published online||04 March 2020|
Black-box approach for software testing based on fat-property
School of Mech. & Eng. University of South China, Hunan, Hengyang, China 421001
* Corresponding author: firstname.lastname@example.org
After a useful and summarized procedure of software testing is put forward based software engineering view, this paper proposed a definition of fat-property according to software testing activity in product quality monitoring software. Based on fat-property, black-box testing approach is deeply investigated. In unit testing, equivalence partitioning should include two aspects: data inputting type and function operating type. And a key point of black-box testing is design of boundary/sub- boundary testing case for data inputting type. In integration testing, Sandwich mode should be applied to improve coverage. In validation testing, keynote function and non- keynote function may be tested respectively to accelerate speed of testing and assure coverage of function. System testing based on black-box according to actual usage of software product is very important, and it will determine the quality level of software product.
Key words: Fat-property / Testing case / Black-box software testing / Software engineering
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.