Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g. text matching) are largely ineffective for combatting misconduct in programming and mathematics based assessments. For these reasons, the development of an effective, automated monitoring tool would provide significant benefit in the struggle against misconduct. To address this challenge, this paper reports an innovative software tool named AssignmentWatch which supports academic integrity by actively monitoring for the upload of assessment content online, with a focus on file-sharing websites. This monitoring and alert notification system reduces the time burden on educators by automating the detection process. The design of AssignmentWatch focuses on early detection which enables educators to take early action. This could include preventative education, or removal of content before it is utilized by students. Through this, AssignmentWatch can reduce incidents of misconduct. The software tool is open source and made freely available to the community. AssignmentWatch was validated under controlled conditions, followed by field testing in 30 assignments, across 16 subjects and 5 higher education institutions. AssignmentWatch was found to effectively detect uploads on a variety of websites, generally within 24 hours. In field testing, AssignmentWatch received positive feedback from educators with 8 out of 10 educators stating AssignmentWatch aided academic integrity and 7 out of 10 users stating AssignmentWatch helped identify assignment content online. 

AssignmentWatch: An automated detection and alert tool for reducing academic misconduct associated with file-sharing websites

The act of plagiarism occurs when an author uses other author’s intellectual ideas without his/her permission. In academics, scholars used to submit assignments now and then in the form of codes or text documents. In this work, the primary focus will be on program codes. In the current scenario, a major perspective is that the scholars may facsimile the codes from a source record without appropriately referencing the original writer or programmer. As there is a wide range of programming languages like C, C++, Java, Python, and many more, in this paper, we have dealt with Java code files. The objective of this work is to estimate the percentage of plagiarism in the given input programming code.

A Tool to Detect Plagiarism in Java Source Code

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Mahima Varshney

Author Tools

Chat about Author

Papers

A Tool to Detect Plagiarism in Java Source Code