Foong, O.-M. and Tran, Q.-T. and Yong, S.-P. and Rais, H.M. (2014) Swarm inspired test case generation for online C++ programming assessment. In: UNSPECIFIED.
Full text not available from this repository.Abstract
It is time consuming for lecturers to manually compile, run and verify students' programming assignments. Moreover, they also need to define test cases for different programming exercises in order to assess students' code. This paper presents a swarm inspired automatic test case generation for Online Programming Assessment or Judge (UOJ) system. The UOJ is built with the purpose to assist lecturers in evaluating codes submitted from students and generate test cases for every programming problem automatically. It also helps students to practice and enhance their programming skills. In this study, the mechanism of automatic test case generation was explored using Particle Swarm Optimization (PSO) algorithm and new fitness function is proposed to determine the optimal solution for each problem. Experiments were set up to benchmark between manual and automatic PSO test case generation results to evaluate the efficiency of the proposed method. The preliminary results are satisfactory for automatic test case generation using swarm inspired PSO algorithm in C++ programming assignments. © 2014 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 2; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912 |
Uncontrolled Keywords: | Particle swarm optimization (PSO); Students, Automatic test-case generations; On-line programming; Particle swarm optimization algorithm; Programming assignments; Programming exercise; Programming problem; Programming skills; Test case generation, C++ (programming language) |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:15 |
Last Modified: | 09 Nov 2023 16:15 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/4198 |