

Find out what your peers are saying about Atlassian, Microsoft, Nutanix and others in Application Lifecycle Management (ALM) Suites.
It acts as an enabler for effective test and program management.
Automation is done very fast, leading to improvements in the QA process and reducing the time needed for test automation.
The development time using UFT can be cut down into half as compared to coding from scratch.
We can easily achieve a return on investment in one, two, or three years.
Technical support has been excellent.
Quality is always high yet not perfect.
I am mostly happy with the technical support from OpenText ALM _ Quality Center.
Support cases are easily created and attended to promptly, depending on urgency.
After creating a ticket, it takes three to five days for them to acknowledge it and then send it to somebody.
The technical support is rated eight out of ten.
OpenText ALM Quality Center is definitely scalable.
Running them in parallel allows you to consume multiple runtime licenses and just execute the tests that don't have conflicting priorities and get through a lot of volume much quicker.
The tool can be installed on all computers used by developers or test automation engineers.
From a stability standpoint, OpenText ALM Quality Center has been pretty good.
One of the key stability issues was that Windows would consume memory without releasing it, leading to regression testing crashes.
Improvements are needed so that the system can continue running without creating a new run.
The user-friendly nature could be enhanced as the interface isn’t intuitive.
I see a stable tool that remains relevant in the market.
Incorporating behavior-driven development tests would enhance the capabilities of UFT One.
If it could move closer to a no-code or low-code solution, it might dominate the market again.
We frequently encountered stability issues when the browser dependency caused Windows to consume memory without releasing it, leading to crashes during regression testing.
It would be cheaper to use a cloud model with a pay-per-use licensing model.
It's cheaper than Tricentis Tosca but more expensive than some others.
The pricing or licensing policy of OpenText is a bit expensive, however, it's one of the best solutions in the market.
There are many open-source tools with no cost, and there are no-code tools that are less expensive than UFT.
The integration with internal applications and CollabNet is made possible through exposed APIs, allowing necessary integrations.
It creates constant visibility into the test process, showing the status, bugs, and automated test results.
We can create a requirement for stability metrics with the test cases to ensure all requirements are covered.
UFT supports Oracle, SAP, PeopleSoft, and other non-web applications, making automation feasible.
The object repository is one of the best in the market, allowing creation of a repository useful for all tests.
OpenText UFT One offered valuable features by allowing us to build up libraries to streamline repetitive tasks, making scripting much easier.
| Product | Market Share (%) |
|---|---|
| OpenText Application Quality Management | 4.5% |
| Jira | 16.0% |
| Microsoft Azure DevOps | 11.9% |
| Other | 67.6% |
| Product | Market Share (%) |
|---|---|
| OpenText Functional Testing | 8.4% |
| Tricentis Tosca | 17.6% |
| BrowserStack | 9.5% |
| Other | 64.5% |


| Company Size | Count |
|---|---|
| Small Business | 39 |
| Midsize Enterprise | 32 |
| Large Enterprise | 161 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 13 |
| Large Enterprise | 71 |
OpenText Application Quality Management offers centralized data management, traceability, and integration capabilities. It aids in handling requirements, test planning, and defect tracking while supporting both manual and automated testing. Challenges exist in deployment and browser compatibility.
Known for its robust reporting and flexibility, OpenText Application Quality Management is tailored for large organizations requiring a comprehensive solution supporting lifecycle coverage and seamless tool integration. Users can consolidate testing processes, manage requirements, and centralize reporting across manual and automated testing. While some face issues with project tracking, outdated interfaces, and limited browser compatibility beyond Internet Explorer, it remains widely used for regression and performance testing. Integration with tools like JIRA and support for tools such as UFT and ALM PC underscore its utility.
What are the key features of OpenText Application Quality Management?In industries such as finance and healthcare, OpenText Application Quality Management is implemented to ensure rigorous testing standards. It supports test case creation and execution, defect tracking, and requirements management. Integration with JIRA and performance testing tools make it suitable for organizations needing synchronized testing environments.
OpenText Functional Testing provides automated testing with compatibility across technologies, browsers, and platforms. It targets APIs, GUIs, and applications like SAP and Oracle for efficient test automation, emphasizing usability and integration with tools such as Jenkins and ALM.
OpenText Functional Testing offers wide-ranging automation capabilities for functional and regression testing, API testing, and automation across web, desktop, and mainframe applications. It supports script recording and object identification, appealing to less technical users. Despite its advantages, it grapples with memory issues, stability concerns, and a challenging scripting environment. Its VBScript reliance limits flexibility, generating demand for enhanced language support and speed improvement. Users appreciate its role in continuous integration and deployment processes, managing test data efficiently, and reducing manual testing efforts.
What are the key features of OpenText Functional Testing?In industries like finance and healthcare, OpenText Functional Testing is leveraged for end-to-end automation, ensuring streamlined processes and accuracy in testing. Many companies utilize it for efficient test data management and integrating testing within continuous integration/deployment operations.
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