A cautionary note on checking software engineering papers for plagiarism

被引：18

作者：

Kaner, Cem ^{[1
]}

Fiedler, Rebecca L. ^{[2
]}

机构：

[1] Florida Inst Technol, Dept Comp Sci, Melbourne, FL 32901 USA

[2] St Mary Woods Coll, Dept Educ, St Mary Of The Woods, IN 47876 USA

来源：

IEEE TRANSACTIONS ON EDUCATION | 2008年 / 51卷 / 02期

基金：

美国国家科学基金会;

关键词：

academic honesty; copyright; editorial manuscript review; intellectual property; MyDropbox; plagiarism; plagiarism detection; TurnItIn;

D O I：

10.1109/TE.2007.909351

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Several tools are marketed to the educational community for plagiarism detection and prevention. This article briefly contrasts the performance of two leading tools, TurnItIn and MyDropBox, in detecting submissions that were obviously plagiarized from articles published in IEEE journals. Both tools performed poorly because they do not compare submitted writings to publications in the IEEE database. Moreover, these tools do not cover the Association for Computing Machinery (ACM) database or several others important for scholarly work in software engineering. Reports from these tools suggesting that a submission has "passed" can encourage false confidence in the integrity of a submitted writing. Additionally, students can submit drafts to determine the extent to which these tools detect plagiarism in their work. Because the toot samples the engineering professional literature narrowly, the student who chooses to plagiarize can use this tool to determine what plagiarism will be invisible to the faculty member. An appearance of successful plagiarism prevention may in fact reflect better training of students to avoid plagiarism detection.

引用

页码：184 / 188

页数：5

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