Failures in cyber physical systems can be costly in terms of money and lives. The marsclimate orbiter alone had a mission cost of 327.6 million USD which was almostcompletely wasted do to an uncaught design flaw. This shows the importance of beingable to define formal requirements as well as being able to test the design against theserequirements. One way to define requirements is in Metric Temporal Logic (MTL), whichallows for constraints that also have a time component. MTL can also have a distancemetric defined that allows for the calculation of how close the MTL constraint is to beingfalsified. This is termed robustness.Being able to calculate MTL robustness quickly can help reduce development time andcosts for a cyber physical system. In this thesis, improvements to the current method ofcomputing MTL robustness are proposed. These improvements lower the timecomplexity, allows parallel processing to be used, and lowers the memory foot print forMTL robustness calculation. These improvements will hopefully increase the likelihood ofMTL robustness being used in systems that were previously inaccessible do to timeconstraints, data resolution or real time systems that need results quickly. Theseimprovements will also open the possibility of using MTL in systems that operate for alarge amount of time and produce a large amount of signal data