Profile detection through source code static analysis

Novais, Daniel; Pereira, Maria João; Henriques, Pedro Rangel

http://hdl.handle.net/10198/13114

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
OASIcs-SLATE-2016-9.pdf		496.51 KB	Adobe PDF	Download

Send Feedback

Authors

Novais, Daniel

Pereira, Maria João

Henriques, Pedro Rangel

Abstract(s)

The present article reflects the progress of an ongoing master’s dissertation on language engineering. The main goal of the work here described, is to infer a programmer’s profile through the analysis of his source code. After such analysis the programmer shall be placed on a scale that characterizes him on his language abilities. There are several potential applications for such profiling, namely, the evaluation of a programmer’s skills and proficiency on a given language or the continuous evaluation of a student’s progress on a programming course. Throughout the course of this project and as a proof of concept, a tool that allows the automatic profiling of a Java programmer is under development. This tool is also introduced in the paper and its preliminary outcomes are discussed.

Keywords

Static analysis Metrics Programmer profiling

URI

http://hdl.handle.net/10198/13114

Citation

Novais, Daniel; Pereira, Maria João; Henriques, Pedro Rangel (2016). Profile detection through source code static analysis. In 5th Symposium on Languages, Applications and Technologies (SLATE'16). Slate, Slovenia. 51, p.1-13. ISSN 2190-6807