Boosting Software Development Using Machine Learning, Gebunden
Boosting Software Development Using Machine Learning
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Tirimula Rao Benala, Satchidananda Dehuri, Rajib Mall, Margarita N. Favorskaya
- Verlag:
- Springer, 05/2025
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783031881879
- Artikelnummer:
- 12307145
- Umfang:
- 344 Seiten
- Gewicht:
- 680 g
- Maße:
- 241 x 160 mm
- Stärke:
- 25 mm
- Erscheinungstermin:
- 24.5.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
1.Transforming Software Development: From Traditional Methods to Generative Artificial Intelligence.- 2.Case Study: Transforming Operational and Organizational Efficiency Using Artificial Intelligence and Machine Learning.- 3.Revolutionizing Software Development: The Transformative Influence of Machine Learning Integrated SDLC Model.- 4.Generative Coding: Unlocking Ontological AI.- 5.Case Studies: Machine Learning Approaches for Software Development Effort Estimation.- 6.Hybridizing Metaheuristics and Analogy-based Methods with Ensemble Learning for Improved Software Cost Estimation.- 7.A Review on Detection of Design Pattern in Source Code Using Machine Learning Techniques.- 8.Machine Learning Techniques for the Measurement of Software Attributes.- 9.An Effective Analysis of New Metaheuristic Algorithms and its Performance Comparison.- 10.Empowering Software Security: Leveraging Machine Learning for Anomaly Detection and Threat Prevention.- 11.Sentiment Analysis on Movie Reviews Using the Convolutional LSTM (Co-LSTM) Model.- 12.An Overview of AI Workload Optimization Techniques.- 13.Opportunity Discovery for Effective Innovation Using Artificial Intelligence.- 14.Applications of Machine Learning Algorithms in Open Innovation.