Neural Networks Boost Software Maintainability Analysis - Dash, Yajnaseni
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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.

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Produktbeschreibung
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.
Autorenporträt
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.