Design and Evaluation of Article Submission and 
Monitoring System Using White/Black-box Testing

Benedicto B. Balilo Jr.; Ryan A. Rodriguez; Hannah Louis Maraňa; Janet I. Triunfante; Dede Kurniadi

doi:https://doi.org/10.14445/22490183/IJCTT-V73I7P102

Research Article | Open Access | Download PDF

Volume 73 | Issue 7 | Year 2025 | Article Id. IJCTT-V73I7P102 | DOI : https://doi.org/10.14445/22490183/IJCTT-V73I7P102

Design and Evaluation of Article Submission and Monitoring System Using White/Black-box Testing

Benedicto B. Balilo Jr., Ryan A. Rodriguez, Hannah Louis Maraňa, Janet I. Triunfante, Dede Kurniadi

Received	Revised	Accepted	Published
27 May 2025	19 Jun 2025	11 Jul 2025	27 Jul 2025

Citation :

Benedicto B. Balilo Jr., Ryan A. Rodriguez, Hannah Louis Maraňa, Janet I. Triunfante, Dede Kurniadi, "Design and Evaluation of Article Submission and Monitoring System Using White/Black-box Testing," International Journal of Computer Trends and Technology (IJCTT), vol. 73, no. 7, pp. 16-25, 2025. Crossref, https://doi.org/10.14445/22490183/IJCTT-V73I7P102

Abstract

This study presents the development and evaluation of an Article Submission and Monitoring System (ASMS) as an important tool for managing the editorial workflow of journals and online publications. The system was assessed using white/black-box software testing techniques to identify potential issues and enhance the overall user experience. Results showed that selecting a testing evaluation technique in many ways improves the system’s performance through a scrutinised evaluation of the system's internal logic and external behavior. The study concludes that the ASMS successfully achieves its objectives and improves the efficiency in editorial management. These findings offer valuable insights for academic institutions seeking to implement similar information systems, contributing to the advancement of knowledge management practices in academic scholarly publications.

Keywords

Software testing, System design, Online publication, User experience, System evaluation.

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