Source code plagiarism and collusion are continuing problems in academia. To deal with
these issues, lecturers are often aided by automated code similarity detection techniques or …

Source code plagiarism detection using Running‐Karp‐Rabin Greedy‐String‐Tiling
(RKRGST) is a common practice in academic environment. However, such approach is time …

Source code plagiarism is an emerging issue in computer science education. As a result, a
number of techniques have been proposed to handle this issue. However, comparing these …

Detection of plagiarism in students' source codes in college-level programming courses is
an important topic for instructors and institutions that seek to pursue project-based learning …

This paper utilises programming style on a source code plagiarism and collusion detection
to both capture obvious attempts of such academic dishonesty (which characteristics are …

According to several works, low-level approach is an effective and efficient solution for
detecting source code plagiarism. Instead of relying on source code tokens, it compares the …

Most source code plagiarism detection tools only rely on source code similarity to indicate
plagiarism. This can be an issue since not all source code pairs with high similarity are …

Several computing courses allow students to choose which programming language they
want to use for completing a programming task. This can lead to cross-language code …

Low-level approach is a recent way for source code plagiarism detection. Instead of relying
on source code tokens, it relies on low-level structural representation resulted from …

Low-level approach is a novel way to detect source code plagiarism. Such approach is
proven to be effective when compared to baseline approach (ie, an approach which relies …