Tuesday, November 5, 2024

Autify launches Autify AI Labs, featuring Step Suggestions, a New No-Code Testing Assistant Powered by OpenAI’s GPT-4

Related stories

Absci and Twist Bioscience Collaborate to Design Novel Antibody using Generative AI

Absci Corporation a data-first generative AI drug creation company, and...

GreyNoise Intelligence Discovers Zero-Day Vulnerabilities in Live Streaming Cameras with the Help of AI

GreyNoise Intelligence, the cybersecurity company providing real-time, verifiable threat...

Medidata Launches Bundled Solutions to Support Oncology and Vaccine Trials

Medidata, a Dassault Systèmes brand and leading provider of...

Blend Appoints Mike Mischel as SVP of AI Consulting

Blend, a leader in data science and AI-powered solutions,...

Patronus AI Launches Industry-First Self-Serve API for AI Evaluation and Guardrails

Patronus AI announced the launch of the Patronus API, the first...
spot_imgspot_img

The company behind no-code AI-powered software test automation tool, Autify, announced the dual launch of Autify AI Labs, a comprehensive AI resource and training hub, and Step Suggestions, a new Chat GPT-powered test scenario creation assistant that enables users to create high-quality scenarios for automated testing.

Autify AI Labs will allow users to view the latest information on Autify’s proprietary AI features and learn more about how the platform helps users streamline testing and QA. The hub provides detail on how Autify currently utilizes machine learning (MLUI technology) to recognize elements in web and mobile applications. Autify AI Labs will also house a blog by the development team behind these features.

“Agile development helps companies improve their competitive advantage. However, as products are developed faster, the QA workload increases; balancing development speed and QA has long been a challenge,” CEO Ryo Chikazawa said. “Our AI-powered no-code test automation tool, Autify, makes it easy for anyone to automate tests and reduces QA staffing costs and time spent on software testing.”

Autify’s newest AI feature, Step Suggestions, looks to further this endeavor, addressing another common challenge customers face: what test scenarios to create to increase coverage as applications become more complex. Step Suggestions utilizes OpenAI’s GPT-4 to provide expertise here, by designing an automated test scenario for test items that were previously verified manually and giving guidance to users who may have trouble knowing what to test in the first place.

Also Read: Blameless Introduces The First Generative AI-powered, Automated Incident Communications With Comms Assistant™

Meet Autify AI Labs: Showcasing the Power of Autify’s AI

Autify AI Labs showcases a suite of features utilizing AI to automate the QA phase in software development. Since Autify’s inception, the company has utilized AI for core features for every step of the testing process – from test case design, test creation and execution, to scenario maintenance. These features include difference detection and Self Healing, as well as features that test UI elements and machine learning (ML) models that run tests even when it’s challenging to retrieve source code, which can often be the case with mobile app testing:

All features derive from two product perspectives: Autify Vision, which looks to detect differences just as human eyes would by recognizing UI structure from visual information, and Autify Generate, which utilizes generative AI to suggest a variety of ideas for testing.

Deeper Look at Step Suggestions, Autify’s proprietary AI testing creation feature powered by ChatGPT

By tapping into the power of AI, Autify makes it possible to automate software testing without coding, allowing people to focus on creative work that only humans can do.

With Step Suggestions installed, when users start recording a test scenario, they will see three suggestions on the page of the application under test, including which element to test and how to test it. Users are able to re-generate suggestions by clicking out or deleting existing ones.

By following these suggestions and adding steps such as click, text input, and assertion – which checks whether a particular element works correctly – users are able to create effective test scenarios.

SOURCE: PRNewswire

Subscribe

- Never miss a story with notifications


    Latest stories

    spot_img