𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Assurances for Self-Adaptive Systems: Principles, Models, and Techniques

✍ Scribed by Maxime Cordy, Andreas Classen, Patrick Heymans, Axel Legay, Pierre-Yves Schobbens (auth.), Javier CÑmara, Rogério de Lemos, Carlo Ghezzi, Antónia Lopes (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
Tongue
English
Leaves
349
Series
Lecture Notes in Computer Science 7740
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


The increasing complexity of systems and the growing uncertainty in their operational environments have created a critical need to develop systems able to improve their operation, adapt to change, and recover from failures autonomously. This situation has led to recent advances in self-adaptive systems able to reconfigure their structure and modify their behavior at run-time to adapt to environmental changes. Despite these advances, one key aspect of self-adaptive systems that remains to be tackled in depth is "assurances": the provision of evidence that the system satisfies its stated functional and non-functional requirements during its operation in the presence of self-adaptation. This book is one of the outcomes of the ESEC/FSE 2011 Workshop on Assurances for Self-Adaptive Systems (ASAS), held in Szeged, Hungary, in September 2011. It contains extended versions of some of the papers presented during the workshop, as well as invited papers from recognized experts. The 12 refereed papers were thoroughly reviewed and selected. The book consists of four parts: formal verification, models and middleware, failure prediction, and assurance techniques.

✦ Table of Contents


Front Matter....Pages -
Model Checking Adaptive Software with Featured Transition Systems....Pages 1-29
Probabilistic Verification at Runtime for Self-Adaptive Systems....Pages 30-59
Verification of a Self-configuration Protocol for Distributed Applications in the Cloud....Pages 60-79
Formal Modeling and Verification of Self-* Systems Based on Observer/Controller-Architectures....Pages 80-111
Timed Hazard Analysis of Self-healing Systems....Pages 112-151
Model-Driven Development of Safe Self-optimizing Mechatronic Systems with MechatronicUML....Pages 152-186
Model-Based Reasoning for Self-Adaptive Systems – Theory and Practice....Pages 187-213
Achieving Self-adaptation through Dynamic Group Management....Pages 214-239
Accurate Proactive Adaptation of Service-Oriented Systems....Pages 240-265
Failure Avoidance in Configurable Systems through Feature Locality....Pages 266-296
Emerging Techniques for the Engineering of Self-Adaptive High-Integrity Software....Pages 297-310
Assurance of Self-adaptive Controllers for the Cloud....Pages 311-339
Back Matter....Pages -

✦ Subjects


Software Engineering; Logics and Meanings of Programs; Programming Languages, Compilers, Interpreters; Computer Communication Networks; Operating Systems


πŸ“œ SIMILAR VOLUMES


Principles of Adaptive Filters and Self-
✍ Anthony Zaknich PhD (auth.), Professor Michael J. Grimble, Professor Emeritus Mi πŸ“‚ Library πŸ“… 2005 πŸ› Springer-Verlag London 🌐 English

<p><P><STRONG>Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book</STRONG></P><P>How can a signal be processed for which there are few or no <EM>a priori</EM> data?</P><P>Professor Zaknich provides an ideal textbook for one-semester introd

Principles of adaptive filters and self-
✍ Zaknich, Anthony πŸ“‚ Library πŸ“… 2005 πŸ› Springer London 🌐 English

<P>Teaches students about classical and nonclassical adaptive systems within one pair of covers</P> <P>Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance </P> <P>The recently developed "practical sub-space adaptive filter" allows the reader to combi

Smart Computing and Self-Adaptive System
✍ Simar Preet Singh (editor), Arun Solanki (editor), Anju Sharma (editor), Zdzisla πŸ“‚ Library πŸ“… 2021 πŸ› CRC Press 🌐 English

<p>The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart appli