Last edited by Mooguran
Wednesday, May 6, 2020 | History

1 edition of Assurances for Self-Adaptive Systems found in the catalog.

Assurances for Self-Adaptive Systems

Principles, Models, and Techniques

by Javier CГЎmara

  • 214 Want to read
  • 40 Currently reading

Published by Springer Berlin Heidelberg, Imprint: Springer in Berlin, Heidelberg .
Written in English

    Subjects:
  • Software engineering,
  • Logics and Meanings of Programs,
  • Logic design,
  • Computer Communication Networks,
  • Computer science,
  • Programming Languages, Compilers, Interpreters,
  • Operating systems (Computers),
  • Operating Systems

  • Edition Notes

    Statementedited by Javier Cámara, Rogério Lemos, Carlo Ghezzi, Antónia Lopes
    SeriesLecture Notes in Computer Science -- 7740
    ContributionsLemos, Rogério, Ghezzi, Carlo, Lopes, Antónia, SpringerLink (Online service)
    Classifications
    LC ClassificationsQA76.758
    The Physical Object
    Format[electronic resource] :
    PaginationX, 341 p. 94 illus.
    Number of Pages341
    ID Numbers
    Open LibraryOL27018585M
    ISBN 109783642362491

    What Can Control Theory eacTh Us About Assurances in Self-Adaptive Software Systems? Marin Litoiu 1, Mary Shaw 2, Gabriel amTura 3, Norha M. Villegas 3, Hausi A. Müller 4, Holger Giese 5, Romain Rouvoy 6, and Eric Rutten 7 1 orkY Universit,y Canada [email protected] by: dimensions, requirements, engineering, and assurances. For each view, we present the state-of-the-art and the challenges that our community must address. This roadmap paper is a result of the Dagstuhl Seminar on “Software Engineering for Self-Adaptive Systems,” which .

    assurances for the goals of self-adaptive systems that must be achieved during the entire lifecycle remains a difficult challenge. This section summarizes a back-ground framework for providing assurances for self-adaptive systems that we term “perpetual assurances for self-adaptive systems.” We discuss uncertainty. Despite all the efforts on assurances for self-adaptive systems at design or runtime, there is still a gap on verifying and validating real-time constraints accounting for context variability. To fill this gap, we propose a method to provide assurance of self-adaptive systems, at design- and runtime, with special focus on real-time constraints.

      A self-adaptive software system modifies its behavior at runtime in response to changes within the system or in its execution environment. The fulfillment of the system requirements needs to be guaranteed even in the presence of adverse conditions and adaptations. Thus, a key challenge for self-adaptive software systems is assurance. Traditionally, confidence in the correctness of a system is Cited by: The provision of assurances for self-adaptive systems is challenging since run-time changes introduce a high degree of uncertainty during their operation. In this seminar, we discussed the problem of assurances for self-adaptive systems from four different views: criteria for assurances, composition and decomposition of assurances, feedback.


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Assurances for Self-Adaptive Systems by Javier CГЎmara Download PDF EPUB FB2

Despite these advances, one key aspect of self-adaptive systems that remains to be tackled in depth is "assurances": the provision of evidence Assurances for Self-Adaptive Systems book the system satisfies its stated functional and non-functional requirements during its operation in the presence of : Paperback.

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.

A major challenge for modern software systems is to become more cost-effective, while being versatile, flexible Software Engineering for Self-Adaptive Systems III. Assurances: International Seminar, Dagstuhl Castle, Germany, December, Revised.

Software Engineering for Self-Adaptive Systems III. Assurances International Seminar, Dagstuhl Castle, Germany, December, Revised Selected and Invited Papers. Despite recent advances in this area, one key aspect that remains to be tackled in depth is the provision of assurances.

Originating from a Dagstuhl seminar held in Decemberthis book constitutes the third volume in the series “Software Engineering for Self-Adaptive Systems”, and looks specifically into the provision of assurances.

Providing assurances that the self-adaptive system complies with its requirements calls for an enduring process spanning the whole lifetime of the system. Assurances for self - adaptive systems m ean providing evidence for requirements compliance; th is evidence can be provide d off - line (i.e., not directly connected or controlled by the running.

The provision of assurances for self-adaptive systems is challenging since run-time changes introduce a high degree of uncertainty during their operation. This book is one of the outcomes of Dagstuhl Seminar on “Software Engineering for Self-Adaptive.

tain behavior of humans in the loop. Providing assurances that the self-adaptive system complies with its requirements calls for an enduring process spanning the whole lifetime of the system.

In this process, humans and the system jointly derive and integrate new evidence and arguments, which we coined perpetual assurances for self-adaptive systems. In this paper, we provide a background. A self-adaptive software system modifies its behavior at runtime in response to changes within the system or in its execution environment.

The ful-fillment of the system requirements needs to be guaranteed even in the presence of adverse conditions and adaptations. Thus, a key challenge for self-adaptive software systems is Size: KB. Providing assurances that the self-adaptive system complies with its requirements calls for an enduring process spanning the whole lifetime of the system.

In this process, humans and the system jointly derive and integrate new evidence and arguments, which we. However, providing assurances that the goals of self-adaptive systems are achieved during the entire life cycle remains a difficult challenge. In this paper, we provide a background framework and the foundation for an approach to providing assurances for self-adaptive systems that we coined “perpetual assurances for self-adaptive systems.”.

plied to composing and decomposing assurances for self-adaptive systems, high- light the challenges in applying them, summarize existing research to address some of these challenges, and identify gaps and opportunities to be addressed by.

Software Engineering for Self-Adaptive Systems III. Assurances: International Seminar, Dagstuhl Castle, Germany, December, Revised Selected and Invited Papers.

An outcome of the Dagstuhl seminar on Software Engineering for Self-Adaptive Systems: Assurances is the LNCS book entitled "Software Engineering for Self-Adaptive Systems III" (to appear) that contains results from discussions at the seminar, in particularly a paper summarizing research challenges in the provision of assurances.

A preprint of the challenges paper can be found here. Software engineering for self-adaptive systems: research challenges in the provision of assurances. assurances for the goals of self-adaptive systems that must be achieved during the entire lifecycle remains a di cult challenge.

This section summarizes a back-ground framework for providing assurances for self-adaptive systems that we term \perpetual assurances for self-adaptive systems. Using Models at Runtime to Address Assurance for Self-Adaptive Systems. the provision of assurance. KEYWORDS Self-adaptive systems, assurance evidence, goal-oriented, real-time systems, data mining, learning approach 1 INTRODUCTION Self-adaptive systems (SAS) shall adapt to changing contexts condi-tions to meet functional and non-functional requirements [13].

ForCited by: 8. Providing assurances for self-adaptive systems is challenging. A primary underlying problem is uncertainty that may stem from a variety of different sources, ranging from incomplete knowledge to sensor noise and uncertain behavior of humans in the loop.

Providing assurances that the self-adaptive system complies with its requirements calls for an enduring process spanning the whole lifetime of. Providing assurances for self-adaptive systems is challenging.

A primary underlying problem is uncertainty that may stem from a variety of different sources, ranging from incomplete knowledge to sensor noise and uncertain behavior of humans in the by: Assurances for Self-Adaptive Systems - Principles, Models, and Techniques.

Lecture Notes in Computer ScienceSpringerISBN Formal Verification.Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction.