Pattern Shared Vision Refinement for Enhancing Collaboration and Decision-Making in Government Software Projects DOI Open Access
Mohammad Daud Haiderzai, Pavle Dakić, Igor Stupavský

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(2), P. 334 - 334

Published: Jan. 16, 2025

This study proposes a new approach and explores how pattern recognition enhances collaboration between users Agile teams in software development, focusing on shared resources decision-making efficiency. Using domain-specific modeling languages (DSMLs) within security-by-design framework, the research identifies patterns that support team selection, effort estimation, risk management for Afghanistan’s ministries. These align development with governmental needs by clarifying stakeholder roles fostering cooperation. The builds p-mart-Repository-Programs (P-MARt) repository, integrating data mining, algorithms, ETL (Extract, Transform, Load) processes to develop innovative methodologies. approaches enable dynamic knowledge management, refine documentation, improve project outcomes. Central this is our Pattern Shared Vision Refinement (PSVR) approach, which emphasizes robust collaboration, security, adaptability. By addressing challenges unique operations, PSVR strengthens practices ensures high-quality delivery. analyzing historical trends introducing strategies, underscores critical role of aligning organizational goals. It demonstrates systematic identification can optimize interaction secure consensus, ultimately enhancing engineering outcomes context.

Language: Английский

Pattern Shared Vision Refinement for Enhancing Collaboration and Decision-Making in Government Software Projects DOI Open Access
Mohammad Daud Haiderzai, Pavle Dakić, Igor Stupavský

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(2), P. 334 - 334

Published: Jan. 16, 2025

This study proposes a new approach and explores how pattern recognition enhances collaboration between users Agile teams in software development, focusing on shared resources decision-making efficiency. Using domain-specific modeling languages (DSMLs) within security-by-design framework, the research identifies patterns that support team selection, effort estimation, risk management for Afghanistan’s ministries. These align development with governmental needs by clarifying stakeholder roles fostering cooperation. The builds p-mart-Repository-Programs (P-MARt) repository, integrating data mining, algorithms, ETL (Extract, Transform, Load) processes to develop innovative methodologies. approaches enable dynamic knowledge management, refine documentation, improve project outcomes. Central this is our Pattern Shared Vision Refinement (PSVR) approach, which emphasizes robust collaboration, security, adaptability. By addressing challenges unique operations, PSVR strengthens practices ensures high-quality delivery. analyzing historical trends introducing strategies, underscores critical role of aligning organizational goals. It demonstrates systematic identification can optimize interaction secure consensus, ultimately enhancing engineering outcomes context.

Language: Английский

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