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OpenText Application Quality Management
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This profile has been claimed by OpenText Application Quality Management, but it has limited features.
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OpenText Application Quality Management Features
What are the features of OpenText Application Quality Management?
Functionality
- Test Repository
- Integration
- Test Diversity
Management
- Reporting
- Version Control
- Scaling
Bug Reporting
- User Reports & Feedback
- Tester Reports & Feedback
- Team Reports & Comments
Bug Monitoring
- Analytics
- Bug History
- Data Retention
OpenText Application Quality Management Categories on G2
Filter for Features
Functionality
Test Repository | Build, collect, and store all necesary software tests and test cases in one location. This feature was mentioned in 10 OpenText Application Quality Management reviews. | 92% (Based on 10 reviews) | |
Integration | Integrates with software testing tools and other development software. This feature was mentioned in 10 OpenText Application Quality Management reviews. | 82% (Based on 10 reviews) | |
Test Diversity | Supports multiple testing types (e.g., regression, smoke) and methods (e.g., integration, performance). This feature was mentioned in 10 OpenText Application Quality Management reviews. | 92% (Based on 10 reviews) |
Management
Reporting | Deliver reporting and metrics around test cases, uses, and results. This feature was mentioned in 10 OpenText Application Quality Management reviews. | 88% (Based on 10 reviews) | |
Version Control | See feature definition | Retain previous versions of tests and test cases. 10 reviewers of OpenText Application Quality Management have provided feedback on this feature. | 88% (Based on 10 reviews) |
Scaling | Based on 10 OpenText Application Quality Management reviews. Scale to handling thousands or tests, cases, and users without loss of functionality or efficiency. | 88% (Based on 10 reviews) |
Bug Reporting
User Reports & Feedback | Give users in-app method of reporting bugs and leaving general performance feedback. 11 reviewers of OpenText Application Quality Management have provided feedback on this feature. | 83% (Based on 11 reviews) | |
Tester Reports & Feedback | Give testers in-app method of reporting bugs and leaving general performance feedback. This feature was mentioned in 12 OpenText Application Quality Management reviews. | 92% (Based on 12 reviews) | |
Team Reports & Comments | Give team members method of reporting bugs and leaving comments on bug status. 12 reviewers of OpenText Application Quality Management have provided feedback on this feature. | 85% (Based on 12 reviews) |
Bug Monitoring
Analytics | Based on 12 OpenText Application Quality Management reviews. Provide reproducible, insightful info surrounding bug and crash scenarios. | 90% (Based on 12 reviews) | |
Bug History | Track history of bug status by application version, date, etc. This feature was mentioned in 12 OpenText Application Quality Management reviews. | 92% (Based on 12 reviews) | |
Data Retention | Store bug tracking data for an appropriate and useful amount of time. This feature was mentioned in 11 OpenText Application Quality Management reviews. | 86% (Based on 11 reviews) |
Administration
Requirements Listing | Deliniate minimum requirements for a new product or service. | Not enough data | |
Centralized Information | Consolidate all requirements information and progress to a central location. | Not enough data | |
Traceability | Track each requirement over its lifetime, including creation, progress, and modifications. | Not enough data |
Communication
Stakeholder Communication | Allows key stakeholders to relay requirements to product or service development teams and other interested parties. | Not enough data | |
Internal Communication Enablement | Foster intra-company collaboration between teams working on product or service development. | Not enough data |
Procedural
Automated Creation & Testing | Create, adjust, and test requirements automatically. | Not enough data |
Functionality
Test Feedback | Provides developers with actionable insight after running tests. | Not enough data | |
Test History | Maintains a thorough history of test logs for future reference and analysis. | Not enough data | |
Customization | Grants developers granular control to define tests and test parameters. | Not enough data | |
Test Variety | Allows developers to automate a wide variety of test types according to need. | Not enough data |
Automation
Organization | Automatically assigns relevant followup tasks and notifies appropriate team members of status after testing. | Not enough data | |
Reliability | Runs tests automatically and reliably according to the parameters and frequency defined. | Not enough data | |
Thoroughness | Tests completely and thoroughly to minimize developer workload. | Not enough data |
Core Lifecycle Management - ALM Software
Test Management | Provides a dashboard for reviewing and flagging software test results and tracking defects. | Not enough data | |
Traceability | Ensures all application changes are tracked and can be rolled back if needed. | Not enough data | |
Requirements Management | Provides tools to capture, organize, and track evolving project requirements throughout the development cycle. | Not enough data |
Organization - ALM Software
Reporting | Tracks metrics and analytics that provide insights into development velocity, code quality, and release cadence | Not enough data | |
Collaboration | Facilitates team collaboration and knowledge sharing. | Not enough data | |
Project Planning | Provides Agile boards, Gantt charts, or Kanban workflows to plan sprints, assign tasks, and monitor progress. | Not enough data |
Agentic AI - Automation Testing
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data |
Agentic AI - Software Testing
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data |
Agentic AI - Bug Tracking
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data |
Agentic AI - AWS Marketplace
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data |
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