Systems | Development | Analytics | API | Testing

The latest News and Information on Software Testing and related technologies.

The "Free" AI Tool That Will Ruin Your Code#speedscale #aiagents #aicoding #devops #softwareengineer

May 15, 2026 By Speedscale In Speedscale
Relying on AI and interns to build custom traffic replay tools is a scalability nightmare that introduces security risks, brittle code, and massive maintenance costs...use Speedscale instead. Learn more: speedscale.com.
View Video
perforce

7 Challenges Delivering Secure Aerospace Software in the Age of AI (with Solutions)

May 15, 2026 By Perforce In Perforce
The challenge of any aerospace company is to deliver new capabilities without compromising safety, reliability, or precision. At our current juncture, legacy technology runs into conflict with modern tool stacks. Artificial intelligence (AI) creates fissures in compliance and auditability, and innovation and productivity gains come at a cost of greater complexity. Despite these seismic shifts, the central question remains the same.
Read Post
xray

Xray Wins Atlassian Marketplace Partner of the Year 2026 for Software Collection Apps

May 15, 2026 By Mariana Santos In Xray
Xray has won the Atlassian Marketplace Partner of the Year 2026: Software Collection Apps, recognizing its continued contribution to the Atlassian Marketplace and its role in supporting software teams with native test management inside Jira. The award was announced in Anaheim during Atlassian Team ’26, as part of the Atlassian Marketplace Partner Awards celebrations recognizing outstanding partners across the Atlassian ecosystem.
Read Post
xray

Key Findings from the Sembi Software Quality Pulse Report: What Jira-Native QA Teams Need to Know

May 14, 2026 By Mariana Santos In Xray
The first-ever Sembi Software Quality Pulse Report is based on nearly 4,000 responses from QA engineers, developers, security professionals, and engineering leaders worldwide. The findings paint a picture of an industry in motion—and a QA function that increasingly relies on tighter integration, thoughtful AI adoption, and better-connected workflows to keep up. Here's a look at some of the data that matters most for agile QA teams working inside Jira-native environments. TL;DR.
Read Post
zymr

Predictive Analytics in Healthcare: Use Cases, Models, Data Requirements & Implementation Playbook (2026)

May 14, 2026 By Nikunj Patel In Zymr
A hospital might have years of EHR data, ICU records, staffing logs, claims history, and diagnostic reports in different systems. Yet it may still miss signs of patient deterioration before an ICU escalation. This gap is why predictive analytics in healthcare has shifted from experimental AI projects to a key strategy in 2026. Now, healthcare organizations use predictive models to identify sepsis risk earlier.
Read Post

The Push and Pull between Validation and Creativity

May 14, 2026 By Perforce In Perforce
In this episode, Petr Nohejl of Warhorse Studios joins us to explore one of game development’s most constant tensions: creativity versus validation. From technical constraints like file naming limits and tooling rules to the challenge of keeping large teams productive, Petr shares real-world examples of why validation systems exist—and why they can feel frustrating to developers pushing creative boundaries. Together, we unpack how this “push and pull” ultimately leads to better-performing pipelines, more scalable production, and stronger games.
View Video
zymr

Top Challenges Hospitals Face Without a Centralized HMS - And How to Solve Them (2026)

May 13, 2026 By Jay Kumbhani In Zymr
Most hospitals are digitally enabled, but not digitally connected. Patient information exists across registration systems, EHRs, lab software, pharmacy tools, and billing platforms. Each system captures data, but none owns the full patient journey. Staff move between screens, re-enter information, and rely on manual coordination to keep workflows moving. This is the underlying reality behind the challenges hospitals face without a centralized HMS.
Read Post
zymr

AI in Credit Underwriting: Improving Risk Assessment Accuracy

May 13, 2026 By Jay Kumbhani In Zymr
For years, credit underwriting was pretty straightforward. Lenders looked at a few fixed factors like credit scores and income, to decide who was worthy of a loan. If you didn’t fit the criteria, you were simply rejected. It worked, but only to a point. This approach left out many people who were actually creditworthy and often missed subtle shifts in market stability.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.