Log

The model Log in the user interface is an essential tool for tracking the performance and status of all risks and model calculations. It provides detailed logging information and uses a colour-coded system to highlight warnings and error messages, aiding users in diagnosing and addressing issues effectively.

The Log records all relevant events and statuses for each model calculation, providing a transparent view of the process. Each time a new calculation is performed, the log is cleared and updated with information pertaining to the current calculation.

Colour-coded indicators

• Yellow indicator (Warning): Illustrates a warning. For example, it could indicate that a model was used outside its validity domain, the root-finding method failed to find a solution, or a subroutine performed an illegal action that was corrected. While not an error, these warnings require user judgment to ensure the reliability of the results.

• Red indicator (Error): This signifies an error, indicating that no reliable end results are available. Error messages often come with suggestions on how to resolve the issue. These errors must be addressed before proceeding with further analysis.

• White indicator (Informative): This message provides information about calculation choices made to successfully run the project file. It is intended to offer additional context and does not require immediate action or affect the reliability of the results. However, users should be aware of these choices to ensure that the methods align with their analysis requirements.

Why calculations go wrong

There are numerous reasons why a calculation might fail or produce warnings:

• Physical conditions: The conditions might not match those required to run the selected model accurately.

• Erroneous input: Incorrect data entries can lead to calculation errors.

• Model bugs: Occasionally, bugs within the model itself may cause issues.

Note

Physical conditions might not match those required to run the selected model, erroneous input might be entered, and occasionally, bugs within the model itself may cause issues.

Using the model log effectively

To make the most of the model log:

• Review warnings and errors: Regularly check the log for any yellow or red indicators. Understanding these messages can help you adjust your inputs or model parameters to ensure accurate results.

• Consult the manual: The software manual includes a list of potential warning and error messages, along with detailed descriptions. This resource can provide deeper insights and guidance on how to resolve specific issues.

By paying close attention to the Model Log and understanding the significance of its colour-coded messages, users can ensure more accurate and reliable risk and consequence calculations. This proactive approach helps maintain the integrity of the analysis and enhances the overall effectiveness of using the EFFECTS and RISKCURVES software.