ICCK

Altaf Hussain

Department of Computer Science and Bioinformatics, Khushal Khan Khattak University Karak, Pakistan

Section 01

Academic Profile

Altaf Hussain holds a Bachelor of Science in Computer Science from the University of Agriculture-Peshawar, Pakistan (2016) and a Master of Science in Computer Science from Khushal Khan Khattak University, Karak-Pakistan (2023). He has actively contributed to research in blockchain, differential privacy, and Federated Learning, particularly focusing on data privacy and security innovations. He has published research articles, showcasing his pioneering work in these areas. His interests span a broad spectrum, including Data Security,Network Security, Artificial Intelligence, Computer Networks, Machine Learning, and Deep Learning. His work is driven for enhancing secure and accurate digital ecosystems through cutting-edge technologies.

Section 02

Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

Section 03

ICCK Publications

Free Access | Research Article | 12 November 2024 | Cited: Crossref logo  3 , Scopus 3
Improving Effort Estimation Accuracy in Software Development Projects Using Multiple Imputation Techniques for Missing Data Handling
ICCK Transactions on Intelligent Systematics | Volume 1, Issue 3: 190-202, 2024 | DOI: 10.62762/TIS.2024.751418
Abstract
Intelligent project management systems rely on high-quality historical data for accurate automated decision-making, yet missing data in software project repositories remains a persistent challenge that degrades intelligent estimation performance. This study proposes an Intelligent Decision Support Framework (IDSF) for software development effort estimation (SDEE) that integrates Multiple Imputation (MI) as a critical data quality enhancement layer within the Analogy-Based Effort Estimation (ABEE) model. The framework is evaluated on the ISBSG dataset by systematically comparing six imputation strategies. Results demonstrate that the MI-enhanced framework achieves competitive and more stable... More >

Graphical Abstract
Improving Effort Estimation Accuracy in Software Development Projects Using Multiple Imputation Techniques for Missing Data Handling