检索结果-内蒙古大学图书馆

11th International Conference on Learning Analytics and Knowledge (LAK)

作者： Huy Anh Nguyen Lim, Michelle Moore, Steven Nyberg, Eric Sakr, Majd Stamper, John Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450389358

While data science education has gained increased recognition in both academic institutions and industry, there has been a lack of research on automated coding assessment for novice students. Our work presents a first step in this direction, by leveraging the coding metrics from traditional software engineering (Halstead Volume and Cyclomatic Complexity) in combination with those that reflect a data science project's learning objectives (number of library calls and number of common library calls with the solution code). Through these metrics, we examined the code submissions of 97 students across two semesters of an introductory data science course. Our results indicated that the metrics can identify cases where students had overly complicated codes and would benefit from scaffolding feedback. The number of library calls, in particular, was also a significant predictor of changes in submission score and submission runtime, which highlights the distinctive nature of data science programming. We conclude with suggestions for extending our analyses towards more actionable intervention strategies, for example by tracking the fine-grained submission grading outputs throughout a student's submission history, to better model and support them in their data science learning process.

关键词： Coding Metrics Linear Mixed Model Data Science Education programming analysis

来源：评论

学校读者我要写书评

暂无评论

BinComp: A stratified approach to compiler provenance Attribution

引用

DIGITAL INVESTIGATION 2015年第S1期14卷 S146-S155页

作者： Rahimian, Ashkan Shirani, Paria Alrbaee, Saed Wang, Lingyu Debbabi, Mourad Concordia Univ Concordia Inst Informat Syst Engn Comp Secur Lab Montreal PQ Canada

Compiler provenance encompasses numerous pieces of information, such as the compiler family, compiler version, optimization level, and compiler-related functions. The extraction of such information is imperative for various binary analysis applications, such as function fingerprinting, clone detection, and authorship attribution. It is thus important to develop an efficient and automated approach for extracting compiler provenance. In this study, we present BinComp, a practical approach which, analyzes the syntax, structure, and semantics of disassembled functions to extract compiler provenance. BinComp has a stratified architecture with three layers. The first layer applies a supervised compilation process to a set of known programs to model the default code transformation of compilers. The second layer employs an intersection process that disassembles functions across compiled binaries to extract statistical features (e.g., numerical values) from common compiler/linker-inserted functions. This layer labels the compiler-related functions. The third layer extracts semantic features from the labeled compiler-related functions to identify the compiler version and the optimization level. Our experimental results demonstrate that BinComp is efficient in terms of-both computational resources and time. (C) 2015 The Authors. Published by Elsevier Ltd on behalf of DFRWS. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Compiler provenance Reverse engineering Binary program analysis Digital forensics programming analysis

来源：评论

学校读者我要写书评

暂无评论

BinComp: A stratified approach to compiler provenance Attribution

BinComp: A stratified approach to compiler provenance Attrib...

引用

15th Annual DFRWS Conference (DFRWS USA)

作者： Rahimian, Ashkan Shirani, Paria Alrbaee, Saed Wang, Lingyu Debbabi, Mourad Concordia Univ Concordia Inst Informat Syst Engn Comp Secur Lab Montreal PQ Canada

关键词： Compiler provenance Reverse engineering Binary program analysis Digital forensics programming analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：