Xray, the leading test management solution for Jira, introduced its new AI-powered testing capabilities a suite of human-in-the-loop intelligence features built on the Sembi IQ platform. These innovations aim to enhance test efficiency, accuracy, and safety by embedding advanced AI directly into trusted workflows.
Unlike traditional “one-shot” AI generators, Xray allows testers to review, edit, and approve AI-generated suggestions before finalizing test cases, reducing noise while preserving expert judgment.
“With Xray’s AI-powered testing features, teams design better tests faster and make release decisions sooner without changing tools or sacrificing control,” said João Valença, General Manager at Xray. “We built Xray’s AI features to accelerate software quality in Jira while keeping human expertise at the center of every decision.”
Accelerating Test Design with AI Test Case Generation (Xray Cloud)
Xray Cloud users can leverage AI Test Case Generation to transform written requirements, preconditions, and coverable issues into structured test cases within seconds. Key benefits include:
-
Faster, smarter test design: Quickly generate Manual and Cucumber-style tests from requirements.
-
Human-in-the-loop control: Review and refine AI-suggested test titles and descriptions before final test creation.
-
Granular access control: Manage AI availability using Jira’s permission schemes.
-
Data privacy and security: All data is encrypted in transit and never stored or used to train the model.
Additionally, Xray supports bulk and partial test generation, allowing teams to create multiple test cases simultaneously while maintaining full control over selection and approval.
Also Read: Spacelift Launches First Codeless, NLP Infrastructure Model
Smarter Modeling with AI Test Model Generation (Xray Enterprise)
For Xray Enterprise users, AI Test Model Generation automatically generates visual system models from requirement content. Its features include:
-
Rapid model drafting: Generate initial parameters and values directly from objectives and documentation.
-
Flexible input: Works with diverse text-based documents without extensive reformatting.
-
Iterative refinement: Regenerate parts or entire models for faster improvements.
-
Granular control: Accept or reject AI-suggested elements individually or in bulk.
Joana Fonseca, Lead Product Manager for Xray, stated, “This approach allows teams to move quickly from high-level objectives to ready-to-run models with fewer handoffs and less manual overhead.”
Jira-Native AI for QA and DevOps
By integrating Sembi IQ-powered AI directly within Jira, Xray enables DevOps teams to accelerate the journey from requirements to release, minimizing delays, rework, and manual intervention. Existing customers can realize immediate productivity gains without disrupting existing processes, while benefiting from enterprise-grade governance and secure data management.
