JD Edwards Test Planning & Management

At DWS, we believe there is a smarter way to test; one that starts with pinpointing and testing only those objects that are affected by a change event (such as the application of an electronic software update (ESU) or the introduction of a modification). For an extensively modified footprint, this may not seem easy to do. However, if you could, it would significantly reduce the time and effort required for test planning and execution.

Dimension Focus™ is the first product available to JD Edwards customers that will analyze your entire EnterpriseOne system to identify exactly which objects are impacted by the proposed change and how significantly they are affected. This insight not only helps you understand the business impact of the proposed change, but can also be used to inform your test planning and management, so you only test what needs testing.

Now you can get even greater value from any cost or effort you expend on testing. Using Dimension Focus you can minimize wasted effort by identifying what does NOT need to be tested. Some benchmarks have indicated you could save up to 85% on your testing effort and costs by using Dimension Focus™.

ESU Impact Analysis

Dimension Focus is a software application that analyses the ESU (Electronic Software Update) code changes down to the event and function level. The software leverages bespoke dependencies logic to find the top level standard and custom objects that the ESUs affect.

JD Edwards Testing, Made Easy

Unique Features

Dimension Focus builds on the spirit of innovation that led DWS to create its unique Dimension Analyze™ service. Dimension Focus™ takes impact analysis to new levels of insight:

• It analyzes the impact on standard, copied and custom objects
• It grades the impact for each object by analysing the dependencies at the event level and figures out the scale of the impact that applying the ESUs has had on each top level object
• It creates a testing “heat map” to show the level at which the applications are affected by the change event
• It enables users to plan for those applications which require the most testing and, as importantly, those applications that are not affected, so require minimal testing