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The Virtual University, Pakistan’s first University based completely on modern Information and Communication Technologies, was established by the Government as a public sector, not-for-profit institution with a clear mission: to provide extremely affordable world class education to aspiring students all over the country.

Using free-to-air satellite television broadcasts and the Internet, the Virtual University allows students to follow its rigorous programs regardless of their physical locations. It thus aims at alleviating the lack of capacity in the existing universities while simultaneously tackling the acute shortage of qualified professors in the country. By identifying the top Professors of the country, regardless of their institutional affiliations, and requesting them to develop and deliver hand-crafted courses, the Virtual University aims at providing the very best courses to not only its own students but also to students of all other universities in the country.

Software Copyright Investigation by Using Source Code Similarity

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Author: SAIMA SHAFEEQ


Citable URI : https://vspace.vu.edu.pk/detail.aspx?id=400

Publisher : Virtual University

Date Issued: 7/12/2020 12:00:00 AM


Abstract

Open-source software can be defined as software having its source code publicly accessible; either it is a web application, desktop or smartphone application, or any other type of software. Open-source software development motives are different for different types of developers. The incentives for the software development groups can vary for the adoption of this option. In software development companies, we usually come across the source code with unknown developers who need to be investigated before incorporating it into the current project. The traceback of the source code to its actual developer is much necessary. We have different techniques for this purpose. However, most of the technique does not adequately trackback due to inaccuracy. In this research, we can propose a new machine learning-based model for source code similarity detection. The proposed approach is used Latent Semantic Analysis (LSA) for similarity detection. The proposed model is justified by comparing it with state-of-the-art existing approaches using accuracy, precision, and recall measures.


URI : https://vspace.vu.edu.pk/details.aspx?id=400

Citation: Shafeeq. S(2019). Software Copyright Investigation by Using Source Code Similarity.Virtual University of Pakistan. (Lahore, Pakistan)

Version : Final Version

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