Testing
Getting accessibility testing into your CI/CD pipeline is the difference between accessibility that holds over time and accessibility that degrades with each release. Without pipeline integration, you rely on developers remembering to run checks manually — and that doesn't scale. This guide covers the complete picture: jest-axe
Testing
In 2014, Goodfellow, Shlens, and Szegedy published a result that the ML community found deeply unsettling: by adding a carefully crafted, human-imperceptible perturbation to an image of a panda, they could cause a well-trained image classifier to label it "gibbon" with 99.3% confidence. The perturbation
Test Automation
AccelQ's API testing module lets you create, execute, and maintain REST and SOAP tests without scripting. It sits in the same platform as your UI tests, which matters for end-to-end scenarios that mix API calls with browser interactions. This post covers what the module actually does,
Testing
5G New Radio (NR) protocol stack testing is one of the most complex verification domains in software engineering. The stack spans seven layers (PHY through NAS), each defined by thousands of pages of 3GPP specifications, with conformance testing requiring both specialized hardware and sophisticated software test harnesses. This guide covers
Allure
Allure integrates with REST-assured via a filter that captures every HTTP request and response and attaches them to the test report. When an API test fails, the Allure report shows the exact request sent and response received — no log digging required. Key Takeaways AllureRestAssured filter attaches request/response to
Allure
Allure Report's Categories feature classifies test failures by root cause (product defect, infrastructure failure, test issue). The Trends section shows pass/fail rates over time. Together they answer: "Why did tests fail?" and "Are we getting better or worse?" Key Takeaways Categories classify failures
Security Testing
A complete AppSec pipeline combines three layers: SAST (static analysis of source code), SCA (vulnerable dependency scanning), and DAST (dynamic testing of the running app). Each layer catches different vulnerabilities. This guide shows you how to wire all three into a CI/CD pipeline, where to place each gate, and
Allure
Allure TestOps is the hosted platform built on top of Allure Report. Where Allure Report shows a single test run, TestOps tracks test results across every run over time — showing trends, flaky tests, coverage analytics, and linking automated tests to manual test cases. Key Takeaways Allure Report is a single-
Allure
allure-pytest is the pytest plugin for Allure Report. Use @allure.step, @allure.epic, @allure.feature, and allure.attach to annotate your Python tests and generate interactive HTML reports with history, attachments, and step details. Key Takeaways Install allure-pytest and allure-commandline. The Python package generates results; the Java
Elixir
Property-based testing generates hundreds of random inputs and finds edge cases you would never think to write by hand. This post covers StreamData generators, the ExUnitProperties module, how shrinking works, and techniques for composing generators to describe realistic domain data. Example-based tests are assertions about specific inputs you
React Native
A deep dive into mocking native modules in React Native Jest tests, covering inline jest.mock patterns, the mocks directory, NativeEventEmitter simulation, and writing robust manual mocks for complex native APIs like Camera, Location, and Bluetooth. Native modules are the bridge between JavaScript and platform APIs like the camera, GPS,
Allure
Allure Report integrates with Cypress via the allure-cypress plugin. It captures test steps, attaches screenshots on failure, records test history, and generates interactive HTML reports. Every failed test shows exactly which step failed and what the page looked like. Key Takeaways allure-cypress is the official reporter plugin. Install