Find out what your peers are saying about Atlassian, Microsoft, OpenText and others in Application Lifecycle Management (ALM) Suites.
It acts as an enabler for effective test and program management.
Due to the fast adoption, there is a quick ROI along with faster and better maintenance due to Tosca's AI and self-healing aspects.
Tasks that typically take ten hours are reduced to two to three hours, representing a threefold productivity gain.
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 has never been an issue, except for consulting which Tricentis charges for.
My experience has been positive; their response to emails or phone calls in tech support is fast, usually between eight to ten hours.
The overall competence of the support has declined; previously, the support was very good, but recently, it has become difficult to reach them and get solutions, and it's taking a lot of time.
Response through chat has been replaced by chatbots, which has impacted the experience.
OpenText ALM Quality Center is definitely scalable.
It covers a breadth of applications and products, demonstrating excellent scalability that I have seen in reality.
Scalability is excellent with Tricentis Tosca.
From a stability standpoint, OpenText ALM Quality Center has been pretty good.
As for stability and performance, apart from a few hiccups and glitches, Tricentis qTest worked fine.
For performance and stability, Tricentis Tosca deserves a 10 out of 10.
The stability of Tricentis Tosca is rated ten out of ten. It is very stable.
I find stability issues when using the Vision AI feature; Tricentis Tosca is not very stable.
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.
It also does not allow for task tracking or calculating time spent on tasks, which affects project timelines.
There may be missing features that should be included in the next release of Tricentis qTest, such as integration with other tools, specifically integration with Parasoft.
The self-healing process should automatically handle any changes in web applications; for instance, if properties change inside the application, the tool should automatically take care of it, unlike other tools such as Mabl and TestComplete that have better self-healing capabilities.
Moving to a cloud-based application rather than a desktop one could improve Tosca.
The Vision AI implementation works very slowly, affecting the speed of our work.
It would be cheaper to use a cloud model with a pay-per-use licensing model.
The solution is expensive.
The pricing and execution of qTest are easy.
The pricing for Tricentis Tosca is extremely high, and I rate it as ten in terms of expense.
A yearly license costs around 20,000 euros.
For enterprise customers, the cost is manageable because it provides solutions for multiple applications they want to automate.
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.
There are also AI insights available based on the data and defects raised, which gives a view of functionalities where there are challenges and where more regression needs to happen.
A valuable feature is the ease of uploading, as well as creating folders.
I have seen measurable benefits with Tricentis qTest in terms of time-saving and resource-saving.
It allows for drag-and-drop functionality and demo automation in SAP-based applications, which can be challenging with other automation tools.
The most useful features of Tricentis Tosca include API scanning, basic web application automation, and data validation capabilities.
The modular approach reduces scripting effort by at least fifty percent, which significantly cuts down on the script development time.
| Product | Market Share (%) |
|---|---|
| OpenText Application Quality Management | 5.0% |
| Jira | 12.6% |
| Microsoft Azure DevOps | 10.3% |
| Other | 72.1% |
| Product | Market Share (%) |
|---|---|
| Tricentis qTest | 8.1% |
| OpenText Application Quality Management | 8.2% |
| TestRail | 7.7% |
| Other | 76.0% |
| Product | Market Share (%) |
|---|---|
| Tricentis Tosca | 12.9% |
| BrowserStack | 7.5% |
| OpenText Functional Testing | 6.4% |
| Other | 73.2% |
| Company Size | Count |
|---|---|
| Small Business | 39 |
| Midsize Enterprise | 32 |
| Large Enterprise | 162 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 3 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 24 |
| Large Enterprise | 72 |
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.
Tricentis is the global leader in enterprise continuous testing, widely credited for reinventing software testing for DevOps, cloud, and enterprise applications. The Tricentis AI-based, continuous testing platform provides a new and fundamentally different way to perform software testing. An approach that’s totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality.
Tricentis Tosca offers model-based testing that supports both technical and non-technical users through a user-friendly interface, enabling scriptless automation and seamless integration with UI and non-UI applications.
Tosca's modular approach enhances test maintenance and reuse while delivering comprehensive automation for diverse testing environments. Backed by risk-based testing and automated data management, it supports end-to-end testing across API, SAP, and desktop applications. Tosca's integration capabilities extend to environments like Salesforce, PHP webshops, and mobile apps, effectively enhancing Agile team workflows. Despite its strengths, room remains for improved reporting, object recognition, and more efficient upgrade processes. Enhancing documentation and mobile testing support could further elevate its functionality for many.
What key features does Tricentis Tosca offer?In retail, Tricentis Tosca automates inventory and transaction testing, ensuring efficient system updates. Financial services employ it for regulatory compliance through automated test scenarios in mainframe and PDF environments. Telecommunication companies utilize Tosca for API testing, aligning services across network platforms seamlessly.
