Transactions on Foundations for Mastering Change I Transactions on Foundations for Mastering Change I

Transactions on Foundations for Mastering Change I

    • USD 39.99
    • USD 39.99

Descripción editorial

The LNCS Transactions on Foundations for Mastering Change, FoMaC, aims to establish a forum for formal-methods-based research, dealing with the nature of today’s agile system development, which is characterized by unclear premises, unforeseen change, and the need for fast reaction, in a context of hard-to-control frame conditions, such as third-party components, network problems, and attacks. Submissions are evaluated according to these goals. 
This book, the first volume in the series, contains contributions by the members of the editorial board. These contributions indicate the envisioned style and range of papers of topics covered by the transactions series. They cross-cut various traditional research directions and are characterized by a clear focus on change. 

GÉNERO
Informática e Internet
PUBLICADO
2016
1 de octubre
IDIOMA
EN
Inglés
EXTENSIÓN
269
Páginas
EDITORIAL
Springer International Publishing
VENTAS
Springer Nature B.V.
TAMAÑO
4.5
MB

Más libros de Bernhard Steffen

Bridging the Gap Between AI and Reality Bridging the Gap Between AI and Reality
2023
Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering Leveraging Applications of Formal Methods, Verification and Validation. Software Engineering
2022
Leveraging Applications of Formal Methods, Verification and Validation. Verification Principles Leveraging Applications of Formal Methods, Verification and Validation. Verification Principles
2022
Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning
2022
Leveraging Applications of Formal Methods, Verification and Validation. Practice Leveraging Applications of Formal Methods, Verification and Validation. Practice
2022
Model Checking, Synthesis, and Learning Model Checking, Synthesis, and Learning
2021