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All Journal INFORMAL: Informatics Journal JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Journal of Embedded Systems, Security and Intelligent Systems
Devi Valentino Waas
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Computer Science & IT Dentistry Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Journal of Embedded Systems, Security and Intelligent Systems

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Improving Accuracy of Software Development Effort Estimation Using Use Case Points and Fuzzy Logic Victor Eric Pattiradjawane; Emanuella M. C. Wattimena; Devi Valentino Waas
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 3 (2025): September 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i3.9488

Abstract

Effort estimation in software development is essential for effective project planning and resource management. The Use Case Points (UCP) method is one of the most recognized estimation techniques; however, its accuracy is often constrained by the subjectivity involved in determining the Environmental Complexity Factor (ECF). This study introduces an enhanced estimation model that integrates Fuzzy Logic into the UCP framework to reduce subjectivity and improve precision. Six software project datasets were analyzed—one institutional project and five publicly available datasets—using Python-based simulations. The proposed Fuzzy-UCP model redefines ECF through fuzzy membership functions and rule-based inference, transforming linguistic assessments into quantitative outputs. Evaluation metrics, including Mean Magnitude of Relative Error (MMRE) and Estimation of Mean Magnitude of Error (EMMER), were employed to assess prediction accuracy. The results demonstrate that the Fuzzy-UCP model improves estimation accuracy by 4% to 12% compared to the standard UCP method, with lower standard deviation values. These findings confirm that incorporating fuzzy reasoning enhances reliability in handling uncertainty during effort estimation. Consequently, the Fuzzy-UCP approach provides a practical, adaptive, and computationally efficient alternative for software engineering practitioners seeking consistent and data-driven estimation results.
Co-Authors A.A. Tri Wulandari Mayun alit I Nyoman Alit Arsana Asana, I Made Dwi Putra Dewa Ayu Putri Wulandari Gede Surya Mahendra I Gede Iwan Sudipa Indra Pratistha Luh Gede Bevi Libraeni Meinarni, Ni Putu Suci Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Putu Gede Surya Cipta Nugraha Victor Eric Pattiradjawane Wardani, Ni Wayan Wattimena, Emanuella M C Willdahlia, Ayu Gede