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Mastering software quality with Agile collaboration

Agile Alliance

How the Swiss Post team successfully overcame quality assurance challenges in software development by adopting Agile practices, emphasizing teamwork, and maintaining clear roles and responsibilities. The post Mastering software quality with Agile collaboration first appeared on Agile Alliance.

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Survey Sees AI Being Applied to Improve Software Quality Testing

DevOps.com

A global survey of 1,775 IT and business executives published today finds 71% are working for organizations that have integrated some form of artificial intelligence and generative AI capability into their operation, with just over a third (34%) specifically using AI to improve quality assurance.

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Continuous Testing: The Key to Quality Assurance in the DevOps Era

DevOps.com

Continuous testing has emerged as a critical aspect of quality assurance in the DevOps era. In recent years, there has been a rapid transformation in software development methodologies. With the advent of DevOps, there has been a significant shift toward automation and continuous integration and delivery (CI/CD).

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Quality Assurance Testing Perfected – A User Flow Tutorial

Toptal

As products and services deploy faster and faster, quality assurance (QA) has to adapt and deliver more coverage in less time while maintaining high quality.

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QA Wolf exits stealth with an end-to-end service for software testing

TechCrunch

QA Wolf , a cloud-based platform designed to detect bugs in software, today exited stealth and announced a $20 million funding round led by Inspired Capital with participation from Notation Capital, Operator Partners and Thiel Capital and several angel investors (among them Peter Thiel). Neither, obviously, are very desirable scenarios.

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Quality Assurance, Errors, and AI

O'Reilly Media - Ideas

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. What is the software really supposed to do? Cultures change very slowly; I doubt it.

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Generative AI in Data and Quality Assurance (QA): Transforming Processes

Perficient

Generative AI (Gen AI) is transforming the way organizations interact with data and develop high-quality software. Its dynamic capabilities enhance the efficiency of software testing and reduce costs. Here we concentrate on the uses in data management, its controls and effects on efficiency innovation and cost savings.