Project ATLAS: An Integrated Learning and Development Management System with Automated CPD/PD Credit Tracking and Competency-Based Talent Mapping Using ISO/IEC 25010:2023 Quality Metrics

Traditional educational training frameworks in public sector governance often rely on disconnected learning platforms, slow manual workflows for tracking professional development (CPD/PD) credits, and fragmented visibility between training initiatives and workforce skill profiles. To address these bottlenecks, this study designed, developed, and validated Project ATLAS (Advanced Training and Learning Administration System), an integrated Learning and Development Management System featuring automated CPD/PD credit tracking, role-stratified administrative dashboards, and competency-based talent mapping engines. Built on a custom Model-View-Controller (MVC) architecture in PHP, a lightweight server-side hypermedia stack, MySQL relational database, and secured through Cloudflare Zero Trust outbound tunnels, the system replaces error-prone manual processes with reliable automation. The platform's architectural quality and functional suitability were evaluated using a descriptive engineering design aligned with the ISO/IEC 25010:2023 software product quality model. A purposive sample of 15 technical experts and administrative evaluators assessed the system, yielding an overall quality score of 3.91 out of 4.00 (SD = 0.11). Security (M = 3.96, SD = 0.05) and Safety (M = 3.94, SD = 0.08) dimensions received the highest ratings. These findings demonstrate that custom MVC backend layers combined with optimized relational database constraints deliver enterprise-grade security, minimized network latencies, and high administrative efficiency in resource-constrained public educational settings. Project ATLAS offers a scalable, compliant, data-driven architecture that mitigates administrative backlogs, preserves institutional memory, and aligns workforce capabilities with institutional needs.

Design Science Research, ISO/IEC 25010:2023, Competency Mapping, Learning Management System, Professional Development Tracking.

1. Bin Md Nor, A. R., Binti Adam, A., Ismail, M. S. B., & Bte Kamis, T. (2026). Development of an artificial intelligence-assisted e-certificate system at Melaka Polytechnic: An innovative approach to TVET digital transformation. Proceedings of the Economy of Asia International Conference, 2025(1), 1070–1078. https://conference.asia.ac.id/index.php/ecosia/article/view/179 [Google Scholar] [Crossref]

2. Bratamanggala, R. I. (2023). Digital transformation in human resource management: A systematic literature review. Siber International Journal of Education Technology (SIJET), 1(2), 57–64. https://doi.org/10.38035/sijet.v1i2.57 [Google Scholar] [Crossref]

3. Chaudhari, S., Shah, K., & Ghonge, P. (2026). A data-driven framework for enhancing outcome-based teaching, learning, and assessment using learning analytics and intelligent dashboards in higher education. Indian Journal of Science and Technology, 19(11), 810–819. https://doi.org/10.17485/IJST/v19i11.263 [Google Scholar] [Crossref]

4. Crespo, R. M., et al. (2010). Aligning assessment with learning outcomes in outcome-based education. IEEE EDUCON 2010 Conference, 1239–1246. https://doi.org/10.1109/EDUCON.2010.5492385 [Google Scholar] [Crossref]

5. Gugnani, A., Reddy Kasireddy, V. K., & Ponnalagu, K. (2018). Generating unified candidate skill graph for career path recommendation. 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 328–333. https://doi.org/10.1109/ICDMW.2018.00054 [Google Scholar] [Crossref]

6. International Organization for Standardization and International Electrotechnical Commission. (2023). Systems and software engineering — Systems and software quality requirements and evaluation (SQuaRE) — Product quality model (ISO/IEC Standard No. 25010:2023). https://www.iso.org/standard/78175.html [Google Scholar] [Crossref]

7. Margienė, A., Ramanauskaitė, S., Nugaras, J., Stefanovič, P., & Čenys, A. (2022). Competency-based e-learning systems: Automated integration of user competency portfolio. Sustainability, 14(24), Article 16544. https://doi.org/10.3390/su142416544 [Google Scholar] [Crossref]

8. Marriott, C., & Martinez-Marroquin, E. (2021). Design principles for auto-mapping professional competencies. Proceedings of the 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021), 334–343. https://aaee.net.au/wp-content/uploads/2021/11/REES_AAEE_2021_paper_304.pdf [Google Scholar] [Crossref]

9. Meijerink, J., Boons, M., Keegan, A., & Marler, J. (2021). Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM. The International Journal of Human Resource Management, 32(12), 2545–2562. https://doi.org/10.1080/09585192.2021.1925326 [Google Scholar] [Crossref]

10. Ni’mah, A. T., Solihin, F., & Sari, I. U. (2023). Outcome-based education scoring system utilizing modular object-oriented dynamic learning environment. Jurnal Pamator: Jurnal Ilmiah Universitas Trunojoyo, 16(4), 845–864. https://doi.org/10.21107/pamator.v16i4.23726 [Google Scholar] [Crossref]

11. Panda, S. (2025). Editorial: Technology and ODL for continuing professional development and lifelong learning. Journal of Learning for Development, 12(3), i–vi. https://doi.org/10.56059/jl4d.v12i3.2607 [Google Scholar] [Crossref]

12. Phaladi, M. P., & Ngulube, P. (2024). Understanding tacit knowledge loss in public enterprises of South Africa. SA Journal of Human Resource Management, 22(0), Article a2229. https://doi.org/10.4102/sajhrm.v22i0.2229 [Google Scholar] [Crossref]

13. Sari, C. A. (2026). The role of digital archiving systems in improving operational efficiency: Evidence from corporate administration. Applied Multidisciplinary Science, 1(3), 1–11. https://doi.org/10.64276/ams.v1i3.72 [Google Scholar] [Crossref]

14. Schuetze, H., De Vries, W., & Mendiola, G. A. (2024). Digitalization of higher education: An introduction to the issues. Journal of Comparative & International Higher Education, 16(2). https://doi.org/10.32674/jcihe.v16i2.5975 [Google Scholar] [Crossref]

15. Vassileva, G., Monov, V., & Blagoev, I. (2024). Competency-based training needs analysis: Bridging gaps for enhanced education. EDULEARN24 Proceedings, 9909–9915. https://doi.org/10.21125/edulearn.2024.2380 [Google Scholar] [Crossref]

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