There are 1 repository under blackbox-testing topic.
Dig Vulnerabilities in the BlackBox
A simple and extensible behavioural testing library for Go. You can use api test to simplify REST API, HTTP handler and e2e tests.
Testplan, a multi-testing framework, because unit tests can only go so far..
iOS UI testing framework https://t.me/mixbox_english https://t.me/mixbox_russian
This repository contains cheatsheets and payloads compiled from completing the labs at PortSwigger Academy.
Test framework for libraries and agents.
A Python package that uses Selenium to enable for automating tests for web applications
My notes about software testing with usefull links.
ATMOSPHERE mobile testing framework
Codebase of paper "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" published at ICRA 2023
Bank pet project, in kotlin. See interests as topics
Bash Script to run C, C++, Java and Python codes safely(using blackboxing) and under limited resources(time, memory, output size)
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Financial Analytics course.
This repository contain a five months of work. I was applying several methods testings in web and mobile applications
FastApproval is an open source assertion/verification library to aid testing
Blackbox testing for Go JSON APIs (and babies)
My labs for testing software in KPI😊
We conducted a comprehensive security assessment of BadStore.net in order to determine existing vulnerabilities and establish the current level of security risk associated with the web application and services in use. https://www.vulnhub.com/entry/badstore-123,41/
Here I show you some of my bug and improvements reports of web and mobile applications, test cases, exercises (sql, postman), etc.
Subgroup discovery method is applied to random forest in order to select subgroups of entities in the dataset, which seems to be able to approximate with a single random tree. This provides us with the interpretable subgroups of dataset, which makes the random forest model less black-box than usual.
Based on the paper RED-Attack: Resource Efficient Decision-based Imperceptible Attack for Machine Learning https://arxiv.org/pdf/1901.10258.pdf
Black-Box exploratory web testing use Selenium WebDriver(Katalon tool) to record the testsuites to test the given website and built test plan report showing bug description and finding bugs along with suggesting steps to how to fix the bugs in the initial stage.
Mobile UI test automation framework using Maestro.
OrangeHRM, this is an open source software. I'm using this open source software for mine Manual Testing practice improvement.