Platform leverages 13 years of crowdsourced testing data to deliver intelligent automation and set new industry standards.

The Ultimate Guide to Acceptance Testing
Software projects often fail to meet their initial requirements, resulting in expensive post-release fixes and dissatisfied users.

A Guide to Shift Left Testing & How to Implement It
In the face of increased demand and competition, software development teams are expected to iterate faster each project sprint.

Stress Testing: How to Ensure You’re Developing Robust Software
As applications increasingly handle vast amounts of data and user traffic, the importance of stress testing is clear. Stress testing helps identify system weaknesses and ensures applications perform reliably under extreme pressure.

A Complete Guide to Distributed Testing
Quality assurance (QA) of systems distributed across multiple servers or regions can not be achieved using localized and single-node testing processes.

Sanity Testing vs Regression Testing: Differences Explained
The software testing market size was valued at USD 51.8 billion in 2023 and is projected to grow at a CAGR (Compound Annual Growth Rate) of over 7% between 2024 and 2032.

Responsible AI Through Crowdsourced Software Testing
Part 1 of this two-part blog serves as the foundation, highlighting the critical role that quality engineering (QE) must play in addressing the business risks associated with the accelerating adoption of artificial intelligence or AI-powered software.

QA Process: A Complete Guide in 2025
The quality assurance (QA) process is vital for creating dependable and efficient software. It ensures that defects or issues are identified early in the development lifecycle. This guarantees that the…

Big Data & Software Testing: A Complete Guide
From social media and Google reviews to sensors and artificial intelligence (AI) assistants, development teams today have access to so much user data, often called big data, that it sometimes feels like a blessing and a curse.

Top 8 Test Management Platforms for Quality Assurance
Managing issue tracking across teams can be straightforward with centralized platforms like GitHub or BitBucket. But what happens when your testing needs go beyond basic coordination?
