AnyLogic Model Function Fixes -- 2
Budget: $15 – $25 USD
My current AnyLogic simulation is fully built and already addresses data flow and data-leakage scenarios, yet a handful of functions are misbehaving and a few code fragments are still throwing intermittent errors. I want to concentrate first on improving these functions, with special attention on the user-interface interactions that trigger or display key data-flow events.
Here is what I need from you:
• Debug the existing Java code inside the model, remove the residual errors, and streamline the logic behind the UI-driven blocks.
• Refactor or redesign any function that currently hampers smooth data flow or that could accidentally mask leakage signals.
• Once the fixes are in place, walk through the validation steps I have already carried out, confirming that my test cases, KPIs, and statistical checks are sound and suggesting extra coverage where useful.
You will work directly in AnyLogic (professional edition), so solid proficiency with its agent-based and process-modeling libraries—as well as the embedded Java workspace—is essential. I am happy to screen-share the model, provide all validation notes, and run joint tests. When we wrap up, I expect the updated model file, clear in-code comments describing each change, and a concise validation summary that shows the corrected run aligns with our data-integrity goals.
Here is what I need from you:
• Debug the existing Java code inside the model, remove the residual errors, and streamline the logic behind the UI-driven blocks.
• Refactor or redesign any function that currently hampers smooth data flow or that could accidentally mask leakage signals.
• Once the fixes are in place, walk through the validation steps I have already carried out, confirming that my test cases, KPIs, and statistical checks are sound and suggesting extra coverage where useful.
You will work directly in AnyLogic (professional edition), so solid proficiency with its agent-based and process-modeling libraries—as well as the embedded Java workspace—is essential. I am happy to screen-share the model, provide all validation notes, and run joint tests. When we wrap up, I expect the updated model file, clear in-code comments describing each change, and a concise validation summary that shows the corrected run aligns with our data-integrity goals.