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Eviden QE Assist is an end-to-end testing automation solution built leveraging Generative AI and using services from AWS like Bedrock AWS, ECS / EC2, Elastic OpenSearch, which increases productivity and cuts testing cycle time by half. The framework consists of different modules like user story assessment, contextual test case generation, test script generation, test data creation and various other features related to testing.
Overview
Quality Engineering Assist (QE Assist) is Eviden’s end-to-end testing automation solution that specifically focuses on the testing domain for custom built applications. QE Assist works best with home-grown enterprise applications undergoing frequent development and testing sprints. Leveraging the power of AWS EC2, ECS, OpenSearch, Bedrock, and Claude Sonnet 3.5, this solution provides everything a customer needs to improve the efficiency, productivity, and time-to-market of their testing or quality assurance organization.
 The solution can be hosted via containers with ECS or standard EC2 instances, allowing for scalable, flexible and reliable deployments for large enterprises. Elastic OpenSearch acts as storage layer. The large language model (LLM) for this solution is Claude Sonnet 3.5 hosted on AWS Bedrock. As a multi-modal LLM, Claude Sonnet 3.5 on Bedrock provides text-generation, unit-testing, code-generation (automation scripts) and image-to-description.
Below is a list of features included in the current build:
- Ease of use and quick deployment
- SAP testing
- Salesforce testing
- Understanding workflows, user stories, technical and functional requirements, and business rules
- Automated assessment of requirement documents with the chosen scoring mechanism
- Contextualized test scenarios and test cases generated using AI
- Test data mining using plain text inputs
- GenAI driven prioritized/optimized test suites
- Spot learning
- Identifying defect hotspots from previous releases
- Identifying and prioritizing test cases for functional & regression tests using AI
- Generating automated test scripts in various programming languages (like Python, Java, .NET, etc.)
- Building a knowledge repository
- Self-healing regression packs
 By utilizing AWS EC2, ECS, and OpenSearch, along with Claude Sonnet 3.5, QE Assist can automatically process requirements, mine data, and write test scripts, this transformative solution empowers organizations to accelerate development, enhance security, reduce labor costs, and streamline the testing of enterprise applications.
Highlights
- The solution combines generative AI with predictive AI and machine learning models to provide customer specific outputs relevant to their applications and existing tools
- QE Assist can be deployed in the customer's AWS network to leverage the GenAI enabled services for testing with high efficiency
- QE Assist automatically produces test cases and testing scripts for developers to immediately deploy
Details
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Delivery method
Deployed on AWS
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Pricing
Custom pricing options
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Support
Vendor support
QE Assist will be implemented by the Eviden professional services team. Once deployed, Eviden will provide one senior and one junior developer for ongoing AI model tuning and performance optimization for the first full year. Please Contact Gowtham Raja Suresh (Digital Assurance Practice Head India GDC) for further info / gowtham.suresh@eviden.comÂ