Applying Industry Lessons in Configuration Management to Your Research

Let's imagine a scenario: As part of your research, you design a complex computer model of a power systems network and spend a lot of time tweaking parameters. After many simulations, you rejoice when you begin to see good results that approach your theoretical calculations and confirm your hypothesis. But your work is not done. You continue trying to optimize the performance by making small modifications, undoing changes, making new changes, capturing output, and jotting down some point form notes in your logbook.