Programming Languages and Compilers Commons^™

A Multi-Input Deep Learning Model For C/C++ Source Code Attribution, Richard J. Tindell Ii

Masters Theses, 2020-current

Code stylometry is applying analysis techniques to a collection of source code or binaries to determine variations in style. The variations extracted are often used to identify the author of the text or to differentiate one piece from another.

In this research, we were able to create a multi-input deep learning model that could accurately categorize and group code from multiple projects. The deep learning model took as input word-based tokenization for code comments, character-based tokenization for the source code text, and the metadata features described by A. Caliskan-Islam et al. Using these three inputs, we were able to achieve …

Less-Java, More Learning: Language Design For Introductory Programming, Zamua Nasrawt

Senior Honors Projects, 2010-2019

Less-Java is a new procedural programming language with static, strong, and inferred typing, native unit testing, and support for basic object-oriented constructs. These features make programming in Less-Java more intuitive than traditional introductory languages, which will allow professors to dedicate more class time to overarching computer science concepts and less to syntax and language-specific quirks.