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

perforce

The Top 5 Root Causes of False Failures in Test Automation And How AI Can Help Eliminate Them

Oct 15, 2026 By Perforce In Perforce
False failures, a leading cause of flaky tests, occur when a test reports a defect that does not exist. The application works, yet the test suite says otherwise. The cost goes well beyond a few minutes of investigation. Perforce's 2026 State of DevOps Report found 50% of test failures stem from brittle scripts and UI changes, not actual defects, and 70% of automation effort goes toward fixing those scripts. Most teams are spending their automation budget on maintenance, not coverage.
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zymr

Healthcare IAM Trends: What's Shaping Identity Security in 2026

Oct 15, 2026 By Sitanshu Joshi In Zymr
‍Healthcare identity and access management (IAM) controls access to clinical systems and patient information. It governs authentication, authorization, account provisioning, and access removal across connected healthcare environments. Healthcare IAM trends reflect expanding access requirements across employees, vendors, applications, and AI agents. Each identity needs defined permissions, accountable ownership, and monitoring appropriate to its operational role.
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smartbear

SaaS or on-premise? How to settle the Swagger deployment question

Oct 15, 2026 By Daisy Priya In SmartBear
Choosing between SaaS and on-premise for SmartBear Swagger Studio, SmartBear Swagger Portal, and SmartBear Swagger Contract Testing The question that most often stalls an API solution evaluation is a simple one: do we run this as SaaS or on-premise? It’s simple to ask and hard to answer, because three teams each hold a veto. Security needs to know where your data will live. Your platform team has to decide whether it can take on another workload.
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Performance Testing in SAP Cloud ALM | SAP Cloud ALM and EPT Demo

Oct 15, 2026 By Tricentis In Tricentis
SAP transformation projects are planned and tracked inside SAP Cloud ALM. Here's how SAP Enterprise Performance Testing by Tricentis, or EPT, brings performance testing into that same hub. In this demo, Tricentis walks through creating, running, and analyzing an EPT performance test without leaving SAP Cloud ALM, so performance problems surface long before go-live. Highlights.
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Tricentis NeoLoad: NeoLoad and SAP Cloud ALM Integration

Oct 15, 2026 By Tricentis In Tricentis
SAP projects are planned and tracked inside SAP Cloud ALM. Here's how Tricentis NeoLoad brings performance testing into that same project hub. In this demo, Tricentis shows how SAP teams create, run, and analyze NeoLoad performance tests from SAP Cloud ALM, so they catch performance problems long before go-live. Highlights.
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katalon

Data-Driven Testing in Katalon Studio: From Requirement to Bound Test Suite in One Prompt

Oct 15, 2026 By Xuan Tran In Katalon
Data-driven testing turns one test case into many: one script, one data file, one iteration per row. Katalon AI Assistant already writes your test cases and test data in minutes. Binding them together, though, was still a manual job that could take far longer. In Katalon Studio 11.6, the assistant does that part too.
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bugraptors

Why Deterministic Rule-Based Testing Unlocks Enterprise Logic Scale

Oct 15, 2026 By Prateek Goel In BugRaptors
Modern enterprise applications process millions of calculations daily, checking vast combinations of transactional parameters, localized regulations, and internal security architectures. Relying on basic exploratory methods or loosely defined scripts creates severe validation gaps, making structured QA testing and rule-based testing essential for preventing system failure.
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speedscale

Use AI and traffic replay to test AI-generated code

Oct 14, 2026 By Ken Ahrens In Speedscale
When I ask an AI agent to change code, I also want it to run the application and test what it changed. Asking it to write some tests is a start. But if it invents the expected responses from the same assumptions it used to write the code, those tests can miss the same mistake. Traffic replay gives the agent something concrete to test against: requests and responses captured from a working application. The agent can run those requests against its changes, inspect the differences, and repeat the test after a fix. I can open the same results and check its work.
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speedscale

Observability Never Really Shifted Left

Oct 14, 2026 By Alan Mon In Speedscale
We made software development faster. Now we need to make validation faster, too. For the last decade we have shifted development left. Testing, security, performance, and CI/CD all moved closer to the developer. Observability mostly did not. It still starts after deployment (we covered the incident side of this in Your Observability Stack Found the Fire), which means the people writing the code rarely have meaningful production behavior to observe while they build.
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katalon

Keep the Intent. Throw Away the Script.

Oct 14, 2026 By Alex Martins In Katalon
I'll give you the takeaway from this blog right now: the part of a test worth keeping is what it's meant to prove, not the script that proves it. Scripts have become cheap to generate, so we should stop treating them as something precious to maintain. Keep the intent. Throw away the script. Last time I wrote that the first time an AI agent runs a manual test case, it can leave an automated test behind, and every later run can use that script instead of the natural-language steps.
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