This document outlines the Ph.D. study plan for Morten Goodwin Olsen on benchmarking eGovernment web services. The research is part of the eGovMon project which will evaluate and measure public web sites for accessibility, transparency, efficiency and impact.
The most significant part of the research will be defining metrics for the measurements of all four areas of eGovMon. These metrics will consist of (1) Fully automatable tests (2) Heuristic tests and (3) Manual tests.
The heuristic tests will include so-called machine learning algorithms,which, based on some input or training data, will be able to perform tests, that are currently carried out manually.
Results from these evaluations will contribute to the awareness and improvement accessibility, transparency, efficiency and impact in public web sites.
Additionally, the learning algorithms which will be developed are expected to be a significant contribution in the field of web-mining.