Tag: Best Practices

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

AI-driven testing changes everything for testing teams. These Best Practices ensure best outcomes.  I’ve recently published a series of posts on Best Practices for different aspects of software QA in the age of AI-driven testing. This post serves as a portal to them. Before listing the posts, it’s worth noting that everything has changed in

This is the third #BestPractices blog post of a series, by Kevin Parker. Introduction The emergence of artificial intelligence (AI) has revolutionized software quality and test automation, including by transforming the way we approach test design and execution, and in offering new possibilities and challenges. The Appvance IQ (AIQ) generative-AI testing platform embodies these transformations, possibilities

This is the second #BestPractices blog post of a series, by Kevin Parker. Introduction Developers and quality assurance teams must collaborate to succeed in today’s fast-paced software development industry. By working together from the beginning, Dev and QA can incorporate best practices that make test automation easy and efficient, thereby accelerating release cycles and improving

This is the first #Best Practices blog post of a series from Kevin Parker. Introduction Multi-Factor Authentication (MFA) is an essential security measure to protect applications from unauthorized access. However, MFA poses challenges for test automation teams who need to strike a balance between comprehensive automation and MFA-enhanced security. This post covers test automation best

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