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    A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia by Setiawan, Rudi

    Published 2025
    “…Motivated by this challenge, this research aims to advance the predictive capability of software project success by developing an integrated artificial intelligence-based model, contextualized within B2C E-Business software projects in Indonesia. Employing a mixed-methods design, the study first identifies 28 critical success factors through empirical investigation, highlighting elements such as evaluation progress, realistic scheduling, human resource competency, project planning, and risk management. …”
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