Author: Appvance Team

AI-First Testing Platform Introduces AI Script Generation Improvements, Comprehensive Coverage Mapping and Desktop Designer for Cross-Platform Testing Santa Clara, CA – September 25, 2024 – Appvance, a leader in generative AI for software quality, has announced AIQ 5.2.0, the latest major update of its cutting-edge testing platform. AIQ 5.2.0 introduces industry-first functionality alongside extensive improvements

This is the fourth post in a four-part series from the article: Embracing AI First Software Quality Platforms: Transforming the Future of Software Testing Download the full eGuide here. Introduction Implementing an AI First testing platform requires a strategic approach that balances automation, human oversight, and continuous learning. By carefully dividing tasks between human engineers

This is the third post in a four-part series from the article: Embracing AI First Software Quality Platforms: Transforming the Future of Software Testing Download the full eGuide here. Introduction The promise of AI in software testing is substantial, but realizing its full potential requires more than just implementing new technology. Organizations need to set

This is the second post in a four-part series from the eGuide: Embracing AI First Software Quality Platforms: Transforming the Future of Software Testing Download the full eGuide here. Introduction The landscape of software quality assurance is undergoing a seismic shift with the advent of AI First Software Quality Platforms. Just as predictive maintenance has

First post of a four-part series. Download the full eGuide here. Introduction For the first time in decades, we are at a technical inflection point for the discipline of software quality assurance. Beyond the application of AI and generative AI for the creation and maintenance of functional tests, AI First Software Quality Platforms will radically

Testing and the CI/CD Process In the post, Continuous Testing: Required But Not Enough, our CTO Kevin Surace explored the necessity of Continuous Testing, but also its shortcomings. As he covered there, continuous testing requires a range of automated testing approaches, covering unit tests, API and integration tests, as well as more complete end-to-end tests.

The Quantum Leap that AI Can Provide to Testing The buzz around ChatGPT and GPT4, the latest release of the large language model from Open AI, has not abated since it burst onto the tech scene several months ago. Many dev and testing teams are experimenting with leveraging the model to automatically write test scripts.

Generative AI is a godsend for software quality teams and their executives. Indeed, Generative AI has changed software quality for the better in five substantive ways:     Collectively, these five changes usher in a new golden era of software quality. And, they elevate the quality function from mere testing to true Quality Engineering. Let’s drill down

The High Bar Set for Load Testing Today What are the criteria for a capable load testing tool that meets the needs of an app today, living in the Cloud, built with a microservices architecture, linking to external resource?  What should it include to ensure your dev team delivers a reliable, high-performance app that meets

With the growth and evolution of software, the need for effective testing has grown exponentially. Testing today’s applications requires an immense number of complex tasks, as well as a comprehensive understanding of the application’s architecture and functionality. A successful test team must have strong organizational skills to coordinate their efforts and time to ensure that