This is probably very difficult, but wouldn’t it be interesting to write a program that generates the minimal function that matches a given decision table? I imagine with current techniques this would only be possible for very simple functions, but the programming workflow if you had such a tool would be neat. Instead of writing a function and tests, you simply write the test, and grow it until the function looks how you want it to.
For strictly Boolean decision tables (that is to say, truth tables[1]) this is already a solved problem, through a method known as Karnaugh mapping[2]. It can transform any arbitrary truth table into a Boolean algebra expression, which you can then simplify using any Computer Algebra System you'd like.
You could probably expand this method to other forms.
