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These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. This can then be combined with or separated out from your wider test analysis. Our extensive knowledge of the JD Edwards EnterpriseOne environment has also allowed us the ability to build in additional functionality, providing JDE-specific insights such as: Identifying how long it took for your users to login to JDE, or the longest time frame for a page to process following a user pressing the ‘OK’ button. Data can be downloaded and manipulated to identify bottlenecks it can also be used with third party database, network, and CPU monitoring products to monitor the effect(s) of the load in real-time, allowing you to identify individual points of potential failure. Unlike other load testing tools, Dimension LoadTest allows analysts to drill-down into the test data to examine individual actions. Test runs are logged and can be stored or downloaded for further analysis.
Once the main load test is executed, users benefit from access to real-time analytics, detailing the status of the load test. Once the scenario is set up as required, users can test, set a baseline, adjust the settings and test again. Once functional testing is complete, load testing should be included as part of the quality assurance process after each regular patching action applied to your E1 infrastructure.ĭimension LoadTest allows users to iteratively refine their tests before executing them fully. We test to identify potential points of failure and to mitigate risk.
#JD EDWARDS ENTERPRISE ONE 8.10 MANUAL#
From ‘the worst day ever’ to specific business-critical processes, Dimension LoadTest provides a platform for fast, accurate and repeatable testing that doesn’t rely on large groups of people or manual tasks.Īny change event has the potential to have a negative impact on operations. Users can introduce real-world workflows and test a wide spectrum of scenarios. The result is a more realistic and accurate load test. it’s possible to reflect the (slower) behaviour of new starters or the behaviour of experienced users that interact differently with systems). This allows virtual agents to individually be sped up or slowed down, allowing users to test actions, duration’s and user-specific variables. Test scenarios may contain multiple agents, each handling a number of virtual users, each with their own functional processes, that can be set to run as many instances as required. Testing different functional areas concurrently, without the need for tedious setup, ensures users can get testing quicker. Pulling in data directly from Dimension SwifTest™, it’s easy to create test queues that can run on separate agents. Unlike other load testing tools, Dimension LoadTest allows users to utilize their functional testing assets.