article thumbnail

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.

Survey 120
article thumbnail

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. GenAI is a game changer in multiple industries, making processes automated , increasing accuracy, and providing predictive insights.

article thumbnail

Containerization: Better Quality Assurance Through Automation

Datavail

Quality assurance” (QA) refers to the procedures for verifying that a software application meets the defined standards, auditing, and evaluation of a product at each stage of development—from requirements gathering all the way through testing and maintenance. Do you even have what could be described as a “QA organization”?

article thumbnail

Calculating The Cost of Software Quality in Your Organization

OverOps

In a previous post , we looked at the magnitude and impact of the soaring cost of poor software quality in the US and where those hidden costs are typically found. We now turn our attention to what you, as a leader in your organization, can do about it. Cost of Good Software Quality. Appraisals. Management Control Costs.

article thumbnail

World Quality Report: Turn Quality Assurance into Quality Engineering

TechBeacon

In the last several years, organizations have been forced to evolve their IT solutions at breakneck speed. Regardless of industry, IT developments such as cloud migration, digital platform enhancement, and data-management tools have become necessities—not options. in a matter of around eight weeks.".

article thumbnail

CIOs are bullish on AI agents. IT employees? Not so much.

CIO

Truly autonomous agent technology is still in its infancy, with few organizations deploying sophisticated and fully featured agents, some experts say, but the divide between C-level IT leaders and their employees could create problems as adoption soars in coming years.

article thumbnail

Case in point: taking stock of the CrowdStrike outages

CIO

The guide addresses four phases of software ownership: software supply chains, development practices, deployment, and vulnerability management, and says they help organizations buying software better understand their software manufacturers approach to cybersecurity, and ensure that secure by design is a core consideration.