Adding parallelism to .NET C# software programs has become a great option that can be used to enable performance. But how can we find out if the existing large complex software programs are even suitable for parallelism, other than investing a lot of time by checking it by hand? By using static analysis to find dependencies in the source code of software programs, we are able to find actual opportunities for parallelism. This list of generated opportunities for parallelism provides information needed to make the decision whether it is worth the time and effort to implement parallelism to a software program, and also provides guidance for the programmers when parallelism is implemented.
Software (theme 1)
Universiteit van Amsterdam
J.J. Vinju (Jurgen)
Software Analysis and Transformation

Bos, R. (2014, January). Finding Lightweight Opportunities for Parallelism in .NET C# . Universiteit van Amsterdam.