Release notes for On-Premises Deployment V5.0.2

Modified on Tue, 19 Aug at 1:58 PM

Overview

algoQA V5 is the next-generation version of our platform, offering enhanced performance, improved usability, and expanded feature capabilities over Version 4. This release emphasizes enhanced performance, improved collaboration, and a significantly better user experience. It addresses critical challenges such as complexities of centralized project management.

With powerful new capabilities including automatic test case generation, AI-assisted custom actions, enhanced API management, and seamless project handling algoQA-V5 empowers teams to work more efficiently and effectively, even in large-scale enterprise environments.

Enhancements in Test Design

Prompt Engineering Support:
Generate detailed, precise test steps using natural language prompts. Testers can describe scenarios in everyday language, which the system intelligently converts into structured, executable test steps, bridging the gap between human intent and automation and accelerating test creation.

Scenario Recording:
Seamlessly captures test scenarios by recording user interactions directly within the application under test using algoScraper. Every action, input, and navigation are tracked and converted into structured test steps, ensuring accuracy and simplifying test creation.

Single Page Profiling:
Streamline test recording and management with a unified interface that merges all essential tools into a single intuitive screen. This central hub simplifies workflow, reduces navigation time, and enhances productivity.

Feature File to Script Converter:
Quickly transform Gherkin-style feature files into executable automation scripts, whether working with existing or manually authored files. This streamlines testing and reduces manual effort.
Integrated BDD Analyzer:
Utilize advanced analysis tools for Gherkin and feature files that automatically validate syntax, check consistency, and enforce best practices. Receive actionable feedback and detailed reports to improve test quality and maintainability.

Five Design Approaches in algoQA V5

Recording Scenarios Offline:
Create test scenarios without connecting to the live application, enabling flexibility and work in isolated environments.
Prompt Engineering:
Use natural language prompts to generate AI-assisted test cases and detailed test steps from plain language descriptions.
(algoScraper) Recording Scenarios Online:
Record live user interactions in real-time with algoScraper, converting them into structured test steps for efficient test creation.
Manually Written Feature Files:
Transform Gherkin-style feature files into executable automation scripts, whether using existing or manually authored files, streamline testing, and reduce manual effort.
Defects / User Stories:
Integrate defects and user stories into test design to align test cases with business requirements and known issues, ensuring comprehensive coverage and traceability.

Gen-AI Features Currently Available in algoQA:

Recording Scenarios Online: Capture live user interactions in real-time with algoScraper, converting them into structured test steps for efficient test creation.
Prompt Engineering: Generate AI-assisted test cases and detailed test steps from natural language prompts and plain language descriptions.
Feature File to Script Conversion: Transform Gherkin-style feature files whether existing or manually authored into executable automation scripts, streamlining testing and reducing manual effort.
Codebot: Define and integrate complex test actions using Codebot, enabling sophisticated automation workflows tailored to unique application behaviors.
Copilot: An intelligent assistant that answers platform-related questions and offers troubleshooting support throughout the testing workflow.
Autohealing: Automatically detect and update broken UI locators, allowing tests to adapt to UI changes, reducing maintenance effort and improving reliability.
Deduplication: Use NLP techniques for pairwise comparison of test cases within a feature file, identifying duplicates or similar test cases based on a user-defined similarity threshold.
BDD Analyzer: Leverage advanced analysis tools for Gherkin and feature files to validate syntax, ensure consistency, enforce best practices, and receive actionable feedback and detailed reports to enhance test quality and maintainability.

Gen-AI features available for On-Premises deployment:
Deduplication and BDD Scenario Analyzer features will be available for on-premises deployment. Other features may not be feasible for on-premises use due to their reliance on AWS Bedrock services.