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ACES:编码风格的自动评估模块设计

ACES: Automatic Evaluation of Coding Style

作者:Stephanie Rogers;Dan Garcia;John F. Canny;Steven Tang;Daniel Kang 作者单位:EECS Department, University of California, Berkeley 加工时间:2015-04-27 信息来源:EECS 索取原文[39 页]
关键词:编码风格;Python;静态分析;自动评估
摘 要:We introduce ACES--Automated Coding Evaluation of Style--a module that automates grading for the composition of Python programs. ACES, given certain constraints, assesses the composition of a program through static analysis, conversion from code to an Abstract Syntax Tree, and clustering (unsupervised learning), helping streamline the subjective process of grading based on style and identifying common mistakes. Further, we create visual representations of the clusters to allow readers and students understand where a submission falls, and what are the overall trends.
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