This commitment is evident in every client interaction, as we seek to understand their needs and preferences so that the team always stays close to what is wanted from the system being developed.
Beyond that, it is part of Enacom's culture to optimize our solutions through simulations in order to deliver safe results that do not hinder system development, as well as to ensure that the KPI (Key Performance Indicator) is always achieved at every stage.
As a result, the product is completed through an approach in which both the quality team and the developers are responsible for ensuring the solution's excellence and actively contributing to test automation.
Joint Development for Efficient Results
The solution development process works in such a way that the quality team commits to creating automated tests, carefully designed to ensure the solution meets the business rules agreed upon with the client, as well as to generating quality indicators that help in understanding how well the code fits the proposal. In addition, the team is also responsible for ensuring that the tests run continuously.
Meanwhile, the developer team commits to software quality, taking responsibility for frequently running tests that identify and resolve problems even before they are raised by the QA (Quality Assurance) team.
Developers have access to the reports generated by these automated tests and follow them closely, using the detailed, clear statistics provided to continuously improve the system.
The close collaboration between the quality team and the developers at Enacom allows problems to be resolved quickly and efficiently, ensuring a flawless experience for the client.
Enacom's Testing Culture and the Digital Twin
One of Enacom's differentiators is its exceptional quality-focused software development culture, in which testing is part of the routine for our solutions.
Testing a Digital Twin is different from testing a shopping cart, for example, because with the cart we only need to check that the function works as expected, that is, that clicking buy puts the product in the cart.
However, as our Optimization Manager, Matheus Mendonça, explains, “With the Twin, we need to evaluate what the user expects and what they do not expect, and carry that information through the entire solution development process.”
Applying a quality testing culture at every stage of developing simulation and optimization solutions, such as the Digital Twin, therefore makes a significant difference for software companies, because it makes it possible to: identify problems in advance; improve product quality; reduce costs by avoiding rework; increase development efficiency; continuously improve production; and ensure greater customer satisfaction.
Guidelines for Testing Simulation and Optimization Solutions
Quality testing of simulation and optimization software must be conducted comprehensively to address the different aspects specific to this type of software. At Enacom, we follow certain guidelines for testing software such as the Digital Twin, for example:
Model Validation Testing
Simulation and optimization software relies on mathematical models and algorithms to perform its tasks. It is therefore essential to run tests that validate the accuracy and reliability of those models. This can be done by comparing the software's results with known or theoretically expected results.
Realistic Use Case Testing
Simulation and optimization software is designed to solve real-world problems. It is therefore important to run tests that represent realistic use cases covering different scenarios and operating conditions. This helps ensure that the software works properly in real situations and delivers useful, accurate results.
Performance Testing
Simulation and optimization software can demand a great deal of computing power and data processing. In this case, it is essential to run performance tests to verify that the software can handle expected workloads and deliver results in a timely manner. This includes scalability tests, load tests, and stress tests to assess the software's limits in terms of capacity and performance.
Sensitivity Testing
In many cases, simulation and optimization software is sensitive to different parameters and settings. It is therefore important to run sensitivity tests to identify which parameters have the greatest impact on results and how the software reacts to different configurations. This helps to better understand the software's behavior and to determine best practices for configuring and using it.
Integration Testing
Simulation and optimization software can be part of a larger system or integrate with other tools or platforms. It is therefore crucial to run integration tests to verify that the software works correctly together with other system components. This includes interoperability tests, communication tests, and data integration tests.
Usability Testing
Although simulation and optimization software is aimed at specialists, it is still important to ensure that its interface and workflows are intuitive and easy to use. Usability testing therefore helps identify possible user interface problems, confusing flows, or interaction difficulties. This helps improve the overall user experience and increase efficiency in using the software.
Quality Assurance (QA) at Enacom
At Enacom, Quality Assurance is one of the most relevant differentiators. With a high percentage of automated tests that run daily, we obtain detailed, clear statistics on possible problems and inconsistencies in the system.
This approach allows us to create real value for our clients, delivering a higher-quality final product, with reduced response time and the assurance that all failures have been eliminated before they are even noticed. Learn more about Enacom's Digital Twin.
The specific nature of the software and the project requirements may call for additional or specific testing approaches. It is therefore important to always adapt testing to the unique needs and characteristics of each software and project.
Learn more: explore the Gemminus platform.