Intelligent Angular Architecture: Machine Learning-Based Component Recommendation Systems for Enterprise-Scale Development
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V5I4P125Keywords:
Angular Architecture, Machine Learning, Component Recommendation Systems, Developer ProductivityAbstract
The increasing complexity of enterprise-scale Angular applications necessitates intelligent mechanisms to improve component reuse, maintain architectural consistency, and enhance developer productivity. The conventional methods of development frequently depend on the process of decision making that is carried out by hand and, therefore, may result in overlapping components, irregular design patterns, and unproductive work processes. To overcome these challenges, this paper suggests a smart Angular design, which will incorporate a machine learning-based component recommendation system. The system uses historical source code repositories, component usage log, and contextual development data to create predictive model that is up to date and can offer optimal components in real-time. The suggested framework includes the use of cutting-edge methods, including feature engineering, similarity analysis, and code embedding’s offered by natural language processing to clear structural and semantic relations among components. It easily fits with the Angular CLI and development environments and offers the context-sensitive suggestions without interfering with the current workflows. The experimental evidence shows that the system obtains big boosts in accuracy, scalability and developer productivity of the recommendations system in terms of higher reuse rates and shorter development time. Moreover, the architecture facilitates the continuous learning process via the feedback loop, allowing the adaptive recommendations to the codebases as they also emerge. This study can assist in the further development of intelligent frontend development through the integration of machine learning and object-oriented software engineering concepts to software development. The solution suggested can provide a scalable and effective solution to the modern-day enterprises that will strive to streamline the process of the Angular applications development and reach the higher levels of consistency and performance.
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