Overview Infosys Generative AI Testing offering has a cutting-edge platform that uses artificial intelligence to automate and improve the software testing process. It is designed to help businesses accelerate time to market, improve quality, and reduce costs. The platform is built on a connected ecosystem that enables collaboration between teams and stakeholders and provides an advanced toolkit to streamline and enhance the testing process. Infosys Generative AI Testing platform also provides ready-to-use pluggable generative AI use cases for all stages of the quality engineering QE lifecycle. The platform is designed to automate test script generation, run self-heal scripts, perform visual regression testing, optimize test suites, predict defects, and select tests based on code changes and coverage analysis. It ensures the usability, security, and accessibility of mobile applications and webpages while validating scripts according to specified configurations.

Key Features Infosys Generative AI Testing platform can be seamlessly integrated with existing software testing tools and frameworks, making it easier for testing teams to adopt this technology without major disruptions to existing processes. The platform includes the following features:

1 Power of Generative AI: Infosys Generative AI Testing platform uses the latest advancements in Generative AI to go beyond traditional testing approaches. The platform generates intelligent test cases, data sets, and scenarios that replicate real-world user interactions. It helps to uncover hidden bugs and vulnerabilities that may have gone unnoticed with traditional testing methods.

2 Open source LLM model training: The platform is built on the foundation of open-source large language models (LLMs), providing it with a vast knowledge base and wide range of capabilities. This ensures that the AI-powered system remains up to date with the latest industry standards, best practices, and emerging trends.

3 Domain-specific model training: Infosys Generative AI Testing platform recognizes the diverse needs of software testing across various industries. To address these, the platform incorporates domain-specific model training. This allows the AI system to adapt and optimize testing strategies based on unique requirements and challenges of specific domains.

4 Seamless integration and user-friendly interface: The platform is easy to use and integrates with existing testing frameworks, tools, and workflows. Its intuitive interface makes it accessible to testers of all skill levels, regardless of their experience with AI.

5 Accelerated testing efficiency and quality: By automating repetitive tasks, Infosys Generative AI Testing platform frees up testing teams to focus on complex scenarios and critical areas. This results in higher test coverage, faster time to market, better accuracy, and more reliable results while reducing manual effort and time spent on repetitive test case generation and execution.

6 Optimized cost of quality: By leveraging open-source foundation models to generate test artifacts, the platform reduces the cost of quality by eliminating the need for commercial or third-party tools for generating automation scripts and synthetic data generation for testing.

Benefits: Responsible by design: Designed to be ethical, trustworthy, and compliant with privacy, security, and other regulations Speed: Accelerates testing with 100 percentage test coverage and effectiveness Agility: Helps businesses save time and money on testing with 60% faster time to market by leveraging reusable use cases Efficiency: Provides up to 40% reduction in test planning and scripting which can free up resources to focus on tasks such as development and innovation Quality: Generates high-quality test cases and improves the maintainability of automation code Reduced tech debt: Enables intelligent code acceleration using reusable open-source tools