Full-stack web development for auto-assessment platform

• Main Author: Lee, Jun Wei
• Other Authors: Loke Yuan Ren
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Software::Software engineering
• Online Access: https://hdl.handle.net/10356/162927
• Institution: Nanyang Technological University

Assessments in educational institutions are essential for educators to evaluate the efficacy of instruction and a means for students to measure their individual progress. With the ongoing Covid-19 pandemic prevalent across the globe, many educational institutions have adopted online-based platforms for managing and administering assessments to their students. The School of Computer Science and Engineering of Nanyang Technological University is no exception. Presently, the SC1007 Data Structures and Algorithms course administers various assessments to students through the HackerEarth online platform. Although the platform is full-featured, it incurs a high cost to utilise, and it is preferable to have an in-house platform where complete control over all aspects of the system is possible. This project is a continuation of two past year students’ progress, where an automated assessment platform (AASP) that can perform automated grading of programming questions was developed. However, various core issues were identified in the existing platform, such as its maintainability and security vulnerabilities. A new AASP has been designed and developed in this project to address the existing issues. The new platform promotes maintainability and security by considering aspects such as selecting a more commonly taught primary programming language, a web framework that focuses on forwards-compatibility and reducing the complexity of the technology stack by integrating an open-source code execution engine called Judge0.