Implementation of several scheduling methods to improve the performance of static analyses

[19Vik19]

Static subanalyses are divided into different batches and summarized by the strategies in order to shorten the runtime.
This approach offers 4 strategies:
Single Phase Scheduling (SPS) - All sub-analyses are put into one batch and executed (may lead to wrong results in some cases. Further research needed).
Maximum Phase Scheduling (MP)- This strategy tries to create the most phases from the given analyses.
Independent Phase Merge Scheduling (IPMS) - An extension of the MPS strategy that executes independent phases together.
Smallest Phase Merge Scheduling (SPMS) - Also an extension of the MPS strategy, which merges independent phases into one phase based on the number of partial analyses.

There is also a Lazy Transformer Multiple Phase Flag, which allows the analyses to schedule lazy and transformer partial analyses in multiple phases.

[19Vik19]

Formatting also needs to be applied: sbt scalafmt

done

[errt]

This has taken a significant step forward, but now that I could take a clearer look at the strategies, some more (minor) issues surfaced. Expect a few more one the duplicated code is extracted, since I will review it once I can clearly see the differences between the strategies vs. what is common.