Neural Networks Boost Software Maintainability Analysis

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Geliefert zwischen Mi., 14.01.2026 und Do., 15.01.2026

Details

This book investigates using Artificial Neural Networks (ANNs) to predict software maintainability in object-oriented systems. By analyzing key object-oriented metrics, the proposed model estimates maintenance effort and outperforms existing models, providing a valuable tool for software development.

Autorentext
Dr. Yajnaseni Dash, Assistant Professor at Bennett University's SoAI, earned her Ph.D. from IIT Delhi in 2022. Her research focuses on AI, climate change, healthcare, and computational applications. She has received awards like the Austin Student Travel Grant, NSF grant, and Best Paper Award from IEEE.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786208443382
    • Genre Thermal Engineering
    • Anzahl Seiten 80
    • Herausgeber LAP Lambert Academic Publishing
    • Größe H220mm x B150mm
    • EAN 9786208443382
    • Titel Neural Networks Boost Software Maintainability Analysis
    • Autor Yajnaseni Dash
    • Untertitel Leveraging AI to Assess and Enhance Object-Oriented System Maintenance.DE

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