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Advisor(s)
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.
Description
Keywords
Static analysis Metrics Programmer profiling
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
Publisher
OASICS