Website: http://www.whiztec.com/erp.php

The WHIZTEC web-based ERP system allows businesses to simplify their operations, work together with all relevant parties, and obtain immediate access to crucial information, ultimately enabling staff to make fast, suitable decisions.

For the implementation of WHIZTEC ERP, you will encounter several complex alterations that adjust the system’s default behavior to better suit your processes. Therefore, when rolling out and updating this implementation, it’s essential to ensure that any previously made modifications still function as expected.

Typically, the process begins with manual validation, whereby certain assigned individuals scrutinize existing functionality to ensure it operates correctly.

However, as the validation volume increases, you may find that the process becomes time-consuming, impeding progress and efficiency. Moreover, the human element introduces the risk of errors and the potential for significant issues to be overlooked.

This is where the need for an automated system to replace manual validation activities becomes apparent. Automation can significantly reduce the time and resources spent on validation, enhancing its accuracy and efficiency. Nonetheless, this process presents its own challenges:

  • First, there’s the issue of constant updates and test maintenance. WHIZTEC ERP is regularly updated with new versions, which could cause your test automation to fail due to subtle changes introduced in the new release. This could render a large portion of your tests obsolete, thus undermining the very purpose of test automation.
  • Second, there’s the requirement to hire engineers capable of building automation. These highly-skilled professionals can be challenging to find and represent a substantial investment for your organization.

Fortunately, there’s a solution: testRigor. testRigor is a revolutionary human emulator that understands English and conducts tests from the perspective of an end-user. This innovative approach to automation allows your organization to simultaneously achieve multiple key objectives:

  1. Enable your existing employees to build test automation, regardless of their technical proficiency. As testRigor is an AI-driven, no-code solution, setting up the environment and building tests becomes a much more seamless and efficient process compared to traditional testing tools.
  2. Ensure your automation system is robust enough to withstand the release of new versions. Unlike other systems, testRigor does not rely on the detailed specifics of the implementation. This results in unparalleled stability, saving countless hours each week.
  3. Enhance visibility within the team, as anyone will be able to understand the tests and contribute if needed.
An example of a test could be:

If you’re interested in trying out testRigor and viewing a demo of how it works on WHIZTEC ERP, please fill out the form below.

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AI Applications

One AI application for navigating the QA roadmap and understanding the difference between test plan and test strategy is the development of intelligent testing automation systems. These systems can utilize natural language processing (NLP) to analyze and understand test plans and test strategies written in various formats. By using NLP, AI can extract key information, identify dependencies, and even suggest improvements or optimizations to the test processes.

Another AI application is the use of machine learning algorithms to predict and optimize testing efforts based on historical data from test plans and test strategies. By analyzing past testing outcomes and the corresponding plans and strategies, AI can help in resource allocation, risk assessment, and prioritization of test cases.

Furthermore, AI-powered virtual assistants can be developed to provide real-time guidance and recommendations to QA teams when creating test plans and test strategies. These virtual assistants can leverage knowledge graphs and ontologies to provide context-aware suggestions and best practices, ultimately improving the quality and efficiency of testing processes.

In summary, AI applications in navigating the QA roadmap involve leveraging NLP, machine learning, and virtual assistants to enhance the understanding, execution, and optimization of test plans and test strategies.