Perforce Software unveiled its AI-driven testing strategy at the DevOps + Data Impact event, focusing on four key pillars throughout the testing lifecycle: creation, execution, analysis, and maintenance. This approach spans major environments, including web, mobile, and packaged applications. The goal is to eliminate traditional testing challenges, enabling teams to achieve greater agility, reliability, and significant breakthroughs.
The amount of talent in the testing space as well as the overall continued practice of manual testing — according to Forrester’s Developer Survey, 2023, 43% of testing is still done with manual practices – cannot keep pace with the quality and security needed in the testing space. To compound this, by 2028 IDC predicts that there will be over one billion new logical applications*.
Perforce’s vision for AI in software testing aims to democratize software testing by enabling testers of every skill level on every team. It will lead to simplified test creation, faster debugging, enhanced collaboration, and the elimination of test maintenance.
“What we aim to deliver is not just leveraging AI to augment and improve the way testers work today, but we are implementing AI testing that completely changes the way testing works within a business,” said Stephen Feloney, Vice President of Product Management at Perforce. “There are two core areas that we are revolutionizing in testing that we know teams will find immediate value in. First, is the reduction of the traditional tools and elimination of frameworks to make testing infinitely more flexible. Secondly, we want to create full automation of test maintenance, which continues to be a blocker to efficient testing and faster releases. Testers should focus on developing test cases instead of worrying about creating and maintaining automated scripts.”
This vision for continuous testing by Perforce will be comprised of four key pillars:
- AI-Driven Testing Creation: Eliminates the need for traditional testing frameworks and empowers every team member to contribute seamlessly, accelerating test creation timelines.
- AI-Driven Test Execution: AI autonomously adapts to real-time changes, ensuring resilience and consistency across all platforms without manual intervention.
- AI-Driven Test Analysis: Provides immediate insights into test failures, pinpointing the root cause to enable faster resolution and continuous optimization.
- AI-Driven Test Maintenance: Eliminates manual test maintenance by continuously adapting to UI, data, or logic changes, ensuring your testing suite is resilient and future-proof.
Perforce’s continuous testing suite offers AI currently with Test Data Pro, which provides test data generation powered by AI.
Learn more about Perforce’s current AI-driven testing at the website here.
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Source:*IDC, 1 Billion New Logical Applications: More Background, doc #US51953724, April 2024
