Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
Perforce Software announced its AI-driven strategy, covering four AI-driven pillars across the testing lifecycle: test creation, execution, analysis and maintenance, across all main environments: web, mobile and packaged applications.
The result would remove traditional testing barriers to help testing teams achieve new levels of agility, reliability, and breakthrough advancements.
Perforce's vision for AI in software testing aims to democratize software testing by enabling testers of every skill level on every team. It will lead to simplified test creation, faster debugging, enhanced collaboration, and the elimination of test maintenance.
"What we aim to deliver is not just leveraging AI to augment and improve the way testers work today, but we are implementing AI testing that completely changes the way testing works within a business," said Stephen Feloney, Vice President of Product Management at Perforce. "There are two core areas that we are revolutionizing in testing that we know teams will find immediate value in. First, is the reduction of the traditional tools and elimination of frameworks to make testing infinitely more flexible. Secondly, we want to create full automation of test maintenance, which continues to be a blocker to efficient testing and faster releases. Testers should focus on developing test cases instead of worrying about creating and maintaining automated scripts."
This vision for continuous testing by Perforce will be comprised of four key pillars:
- AI-Driven Testing Creation: Eliminates the need for traditional testing frameworks and empowers every team member to contribute seamlessly, accelerating test creation timelines.
- AI-Driven Test Execution: AI autonomously adapts to real-time changes, ensuring resilience and consistency across all platforms without manual intervention.
- AI-Driven Test Analysis: Provides immediate insights into test failures, pinpointing the root cause to enable faster resolution and continuous optimization.
- AI-Driven Test Maintenance: Eliminates manual test maintenance by continuously adapting to UI, data, or logic changes, ensuring your testing suite is resilient and future-proof.
Perforce's continuous testing suite offers AI currently with Test Data Pro, which provides test data generation powered by AI.
Industry News
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.