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Testing

The latest News and Information on Software Testing and related technologies.

Cloud-Based Testing - A tester's perspective

Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. The main reason is – it is faster, inexpensive, flexible, and requires no maintenance. The best part is that we do not own it, can easily lease it from a service provider, can easily scale up and scale down according to requirements and only have to pay for the amount of time we use the cloud resources.

How to trigger Test Automation with Xray, Jira & GitLab | Xray Tutorial

Our project is managed in Jira, including testing with Xray (e.g. using Jira & Xray for single-source of truth of testing results) and our source code (including for automated tests) and CI/CD is managed in GitLab. In this scenario, we want to trigger automation in GitLab from the Xray side and report the results back to Xray and Jira.

Simplify Salesforce Testing with AI-Driven Codeless Tools

Testing Salesforce Apps presents numerous challenges for enterprise organizations. Teams have to navigate complex architecture, integration workflows, and continuous changes in the customized SFDC implementation, as well as a wide range of different applications hosted on Salesforce Cloud. If left unchecked, these challenges can hamper critical enterprise processes like the revenue-generating Quote to Cash process.

Generate and track in-sprint tests with Xray and Test Modeller

As complex applications change faster than ever, testers must create, prioritize and maintain tests with greater speed and velocity than ever before. In-sprint testing cannot rely on slow and manual test case creation, and maintaining repetitive scripts manually becomes impossible in short iterations. Testing requires an automated and systematic approach to test creation so you can reliably update tests based on the latest changes.

Replay Single Transactions for Root Cause Analysis

Speedscale was built primarily to provide engineering teams with better insight into their applications over time, replaying single transactions for root cause analysis that give developers and SREs confidence that tomorrow’s application code will work just as well in production as it did yesterday.