A Network-Driven Feature Construction Approach for Labelling Software Classes using Machine Learning

Rademaker, Xavyr

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master Computer Science

The following thesis was written by a student in the 2017-2018 class of the Master Computer Science programme at Leiden University.

Thesis details

Title	A Network-Driven Feature Construction Approach for Labelling Software Classes using Machine Learning
Student	Rademaker, Xavyr
Programme	Master Computer Science
Year	2017-2018
Supervisors	Takes, dr. F.W. (Frank) Chaudron, prof.dr. M.R.V. (Michael)
Thesis	Open Thesis PDF

Citation details

Rademaker, Xavyr, A Network-Driven Feature Construction Approach for Labelling Software Classes using Machine Learning, Thesis Master Computer Science, LIACS, Leiden University, 2018.