A Survey on Online Judge Systems and Their Applications
Not on the map. Why?
Abstract (arXiv)
Online judges are systems designed for the reliable evaluation of algorithm source code submitted by users, which is next compiled and tested in a homogeneous environment. Online judges are becoming popular in various applications. Thus, we would like to review the state of the art for these systems. We classify them according to their principal objectives into systems supporting organization of competitive programming contests, enhancing education and recruitment processes, facilitating the solving of data mining challenges, online compilers and development platforms integrated as components of other custom systems. Moreover, we introduce a formal definition of an online judge system and summarize the common evaluation methodology supported by such systems. Finally, we briefly discuss an Optil.io platform as an example of an online judge system, which has been proposed for the solving of complex optimization problems. We also analyze the competition results conducted using this platform. The competition proved that online judge systems, strengthened by crowdsourcing concepts, can be successfully applied to accurately and efficiently solve complex industrial- and science-driven challenges.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Oct 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 1; 2023: 3; 2024: 2.
7 papers.
- 2024SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulationcited by 100
- 2023Exploring the Robustness of Large Language Models for Solving Programming Problemscited by 16
- 2021Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websitescited by 4
- 2023Deduplicating and Ranking Solution Programs for Suggesting Reference Solutionscited by 1
- 2022MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problemscited by 0
- 2023Rule-Based Error Classification for Analyzing Differences in Frequent Errorscited by 0
- 2024Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligencecited by 0
- 2024SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation21 Jun 2024
- 2024Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence29 Jan 2024
- 2023Rule-Based Error Classification for Analyzing Differences in Frequent Errors1 Nov 2023
- 2023Deduplicating and Ranking Solution Programs for Suggesting Reference Solutions16 Jul 2023
- 2023Exploring the Robustness of Large Language Models for Solving Programming Problems26 Jun 2023
- 2022MLPro: A System for Hosting Crowdsourced Machine Learning Challenges for Open-Ended Research Problems4 Apr 2022
- 2021Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites31 Jan 2021