Remove Performance Remove Quality Assurance Remove Software Review Remove Testing
article thumbnail

The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO

By Milan Shetti, CEO Rocket Software In today’s volatile markets, agile and adaptable business operations have become a necessity to keep up with constantly evolving customer and industry demands. The problem with unstructured manual testing processes The benefits of DevOps testing revolve around increased speed and flexibility.

article thumbnail

The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

article thumbnail

Survey Surfaces Increasing Reliance on AI to Develop Software

DevOps.com

AI is already being used in code writing, code review, quality assurance/testing, debugging and design and architecture, according to a recent survey.

article thumbnail

Mobot secures capital to grow its fleet of robots that bug-test mobile apps

TechCrunch

Mobile apps have to be bug-tested across countless devices to ensure they work as intended. Users don’t look kindly on poor experiences — 88% say they’ll abandon apps based on minor glitches, according to software testing vendor Qualitest (which admittedly has a horse in the race). ” Image Credits: Mobot.

Mobile 227
article thumbnail

Five Metrics to Track the Performance of Your Quality Assurance Teams and the efficiency of your Quality Assurance strategy

Trigent

Why Quality Assurance and Engineering? A product goes through different stages of a release cycle, from development and testing to deployment, use, and constant evolution. Organizations often seek to hasten their long release cycle while maintaining product quality. Developing a sound Quality Assurance (QA) strategy.