Download Free Feature Interactions In Software And Communication Systems Ix Book in PDF and EPUB Free Download. You can read online Feature Interactions In Software And Communication Systems Ix and write the review.

Deals with the feature interaction problem in telecommunication systems.
The International Conference on Feature Interactions in Software and Communication Systems (ICFI) has evolved out of the Feature Interaction Workshop (FIW), which started in 1992 as the leading forum for discussion and reporting on research on feature interactions in telecommunications systems. It is now concerned with feature interaction in all types of software systems. Participation includes practitioners, researchers and educators. The proceedings have been published by IOS Press since 1994.
This book constitutes the refereed proceedings of the 18th International Conference on Runtime Verification, RV 2018, held in Limassol, Cyprus, in November 2018. The 21 full papers presented together with 3 short papers and 3 tool papers were carefully reviewed and selected from 49 submissions. The RV conference is concerned with all aspects of monitoring and analysis of hardware, software and more general system executions. Runtime verification techniques are lightweight techniques to assess correctness, reliability, and robustness; these techniques are significantly more powerful and versatile than conventional testing, and more practical than exhaustive formal verification. Chapter “Hardware-based Runtime Verification with Embedded Tracing Units and Stream Processing” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This publication deals with the feature interaction problem in telecommunication systems. In this domain, an interaction occurs when one telecommunications feature/service modifies or subverts the operation of another one. Undesired interactions can both lower this quality and delay service provisioning. Therefore, the problem of feature interactions in telecommunications is of great importance. In the past decade, a lot of attention has been devoted to the development of methods for detection and resolution of feature interactions. However, this feature interaction phenomenon is not unique to the domain of telecommunications systems. It can also occur in any large software system that is subject to continuous changes. All the submitted papers in this publication have been peer reviewed by at least two reviewers drawn from industry or academia.
This book constitutes the refereed proceedings of the 16th International Conference on Model Driven Engineering Languages and Systems, MODELS 2013, held in Miami, FL, USA, in September/October 2013. The 47 full papers presented in this volume were carefully reviewed and selected from a total of 180 submissions. They are organized in topical sections named: tool support; dependability; comprehensibility; testing; evolution; verification; product lines; semantics; domain-specific modeling languages; models@RT; design and architecture; model transformation; model analysis; and system synthesis.
Deals with the feature interaction problem in telecommunication systems.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.