Mlf 2 exploits Mathematica 7's built-in parallelism which increases the power of mlf by adding extra computational kernels either Local in a multi-core computer or as Server in a network-managed pool of computational kernels. It is set up to allow seamless scaling to networks, clusters, grids and clouds.
Find buggy parts of software by machine learning? Which data sources? Which methods? As result of challenging investigations on large industrial systems. The best combination in the picture above: static code analysis and fuzzy-ID3 in mlf.