<p>This thesis presents the design and implementation of a source code generator for dealing with Bayesian statistics. The specific focus of this case study is to produce usable source code for handling Hidden Markov Models (HMMs) from a Domain Specific Language (DSL).</p> <p>Domain specific languages are used to allow domain experts to design their source code from the perspective of the problem domain. The goal of designing in such a way is to increase the development productivity without requiring extensive programming knowledge.</p> / Master of Applied Science (MASc)
Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/14101 |
Date | 04 1900 |
Creators | Szymczak, Daniel |
Contributors | Carette, Jacques, Software Engineering |
Source Sets | McMaster University |
Detected Language | English |
Type | thesis |
Page generated in 0.0017 seconds