Kapak Resmi

Applied OSS Reliability Assessment Modeling, AI and Tools Mathematics and AI for OSS Reliability Assessment /

This textbook introduces the theory and application of open source software (OSS) reliability. The measurement and management of open source software are essential to produce and maintain quality and reliable systems while using open source software. This book describes the latest methods for the re...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Tamura, Yoshinobu (Yazar), Yamada, Shigeru (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edisyon:1st ed. 2024.
Seri Bilgileri:Springer Series in Reliability Engineering,
Konular:
Open source software.
Artificial intelligence.
Cooperating objects (Computer systems).
Industrial engineering.
Production engineering.
Data protection.
Computers.
Open Source.
Artificial Intelligence.
Cyber-Physical Systems.
Industrial and Production Engineering.
Data and Information Security.
Hardware Performance and Reliability.
Online Erişim:https://doi.org/10.1007/978-3-031-64803-8
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
Diğer Bilgiler
Özet:This textbook introduces the theory and application of open source software (OSS) reliability. The measurement and management of open source software are essential to produce and maintain quality and reliable systems while using open source software. This book describes the latest methods for the reliability assessment of open source software. It presents the state of the art of open source software reliability measurement and assessment based on stochastic modeling and deep learning approaches. It introduces several stochastic reliability analyses of OSS computing with application along with actual OSS project data. The book contains exercises to aid learning and is useful for graduate students and researchers.
Fiziksel Özellikler:1 online resource (XI, 188 p. 99 illus.). 80 illus. in color.
ISBN:9783031648038
ISSN:2196-999X
DOI:10.1007/978-3-031-64803-8

Benzer Materyaller