This repository is a hub of various testing techniques like Boundary value analysis and unit testing
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Updated
Jun 28, 2021 - Java
This repository is a hub of various testing techniques like Boundary value analysis and unit testing
Test automation project for Parking Cost Calculator JS application with Cypress and QUnit
CENG352 Software V&V Assignment: Automated form validation and CI/CD pipeline implementation using Jest. Includes extensive BVA and EP testing scenarios.
Black-box testing using Equivalence Partitioning (EP) and Boundary Value Analysis (BVA).
The purpose of this project is to generate test inputs using the Boundary Value Analysis (BVA) Input Generator, which will be used in conjunction with manually input test cases for the Triangle_Test and NextDate programs. The goal is to test the accuracy and reliability of the programs under various input conditions to identify concerns.
Program that generates test case input for Boundary Value Analysis (BVA) test variables
Collection of manual testing projects demonstrating test case design, bug reporting, test planning, and QA documentation.
Manual QA portfolio: test plans, checklists, test cases, EP/BVA, traceability, bug reports (Swag Labs).
Тестовая документация для сервиса каршеринга и такси
Manual testing portfolio: test cases, bug reports, checklists, decomposition and test design techniques (Equivalence Partitioning, Boundary Value Analysis)
Turn a parameter's constraints into a boundary-value and equivalence-class test case suite.
Sample Test Case Design.
QA portfolio project showing equivalence partitioning, boundary value analysis, and automated testing with Java, Maven, and JUnit 5.
Manual QA test case design deliverable — Equivalence Partitioning & Boundary Value Analysis for a web checkout flow, cross-browser validated (Chrome/Opera). TripleTen QA Analyst Program (Sprint 9).
Professional QA Portfolio - Comprehensive manual testing, bug reporting, and test case documentation for 'DC People', an enterprise HR, Recruitment, and Broker management web application.
This project implements an unsupervised machine learning approach to detect anomalous financial transactions using K-Means clustering algorithm. The system analyzes transaction patterns based on amount and timing to identify potentially fraudulent activities in financial data.
A JavaScript-based media playback time converter featuring input normalisation, accessible feedback, and ISTQB-aligned manual testing.
This repository contains some of the experiments that are covered in Software engineering Lab.
Тестовая документация и баг-репорты, сервис аренды самокатов.
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