Volume

Dagstuhl Seminar Proceedings, Volume 8031

Publication Details

  • published at: 2008-05-27
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document
DOI: 10.4230/DagSemProc.08031.1
08031 Abstracts Collection – Software Engineering for Self-Adaptive Systems

Authors: Betty H.C. Cheng, Holger Giese, Paola Inverardi, Jeff Magee, and Rogerio de Lemos

Abstract
From 13.01. to 18.01.2008, the Dagstuhl Seminar 08031 ``Software Engineering for Self-Adaptive Systems'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Betty H.C. Cheng, Holger Giese, Paola Inverardi, Jeff Magee, and Rogerio de Lemos. 08031 Abstracts Collection – Software Engineering for Self-Adaptive Systems. In Software Engineering for Self-Adaptive Systems. Dagstuhl Seminar Proceedings, Volume 8031, pp. 1-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{cheng_et_al:DagSemProc.08031.1,
  author =	{Cheng, Betty H.C. and Giese, Holger and Inverardi, Paola and Magee, Jeff and de Lemos, Rogerio},
  title =	{{ 08031 Abstracts Collection – Software Engineering for Self-Adaptive Systems}},
  booktitle =	{Software Engineering for Self-Adaptive Systems},
  pages =	{1--19},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8031},
  editor =	{Betty H. C. Cheng and Rogerio de Lemos and Holger Giese and Paola Inverardi and Jeff Magee},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08031.1},
  URN =		{urn:nbn:de:0030-drops-15011},
  doi =		{10.4230/DagSemProc.08031.1},
  annote =	{Keywords: Software engineering, requirements engineering, modelling, evolution, assurances, self-adaptability, self-organization, self-management}
}
Document
DOI: 10.4230/DagSemProc.08031.2
08031 – Software Engineering for Self-Adaptive Systems: A Research Road Map

Authors: Betty H.C. Cheng, Holger Giese, Paola Inverardi, Jeff Magee, Rogerio de Lemos, Jesper Andersson, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cukic, Giovanna Di Marzo Serugendo, Schahram Dustdar, Anthony Finkelstein, Cristina Gacek, Kurt Geihs, Vincenzo Grassi, Gabor Karsai, Holger Kienle, Jeff Kramer, Marin Litoiu, Sam Malek, Raffaela Mirandola, Hausi Müller, Sooyong Park, Mary Shaw, Matthias Tichy, Massimo Tivoli, Danny Weyns, and Jon Whittle

Abstract
Software's ability to adapt at run-time to changing user needs, system intrusions or faults, changing operational environment, and resource variability has been proposed as a means to cope with the complexity of today's software-intensive systems. Such self-adaptive systems can configure and reconfigure themselves, augment their functionality, continually optimize themselves, protect themselves, and recover themselves, while keeping most of their complexity hidden from the user and administrator. In this paper, we present research road map for software engineering of self-adaptive systems focusing on four views, which we identify as essential: requirements, modelling, engineering, and assurances.
Cite as

Betty H.C. Cheng, Holger Giese, Paola Inverardi, Jeff Magee, Rogerio de Lemos, Jesper Andersson, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cukic, Giovanna Di Marzo Serugendo, Schahram Dustdar, Anthony Finkelstein, Cristina Gacek, Kurt Geihs, Vincenzo Grassi, Gabor Karsai, Holger Kienle, Jeff Kramer, Marin Litoiu, Sam Malek, Raffaela Mirandola, Hausi Müller, Sooyong Park, Mary Shaw, Matthias Tichy, Massimo Tivoli, Danny Weyns, and Jon Whittle. 08031 – Software Engineering for Self-Adaptive Systems: A Research Road Map. In Software Engineering for Self-Adaptive Systems. Dagstuhl Seminar Proceedings, Volume 8031, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{cheng_et_al:DagSemProc.08031.2,
  author =	{Cheng, Betty H.C. and Giese, Holger and Inverardi, Paola and Magee, Jeff and de Lemos, Rogerio and Andersson, Jesper and Becker, Basil and Bencomo, Nelly and Brun, Yuriy and Cukic, Bojan and Di Marzo Serugendo, Giovanna and Dustdar, Schahram and Finkelstein, Anthony and Gacek, Cristina and Geihs, Kurt and Grassi, Vincenzo and Karsai, Gabor and Kienle, Holger and Kramer, Jeff and Litoiu, Marin and Malek, Sam and Mirandola, Raffaela and M\"{u}ller, Hausi and Park, Sooyong and Shaw, Mary and Tichy, Matthias and Tivoli, Massimo and Weyns, Danny and Whittle, Jon},
  title =	{{08031 – Software Engineering for Self-Adaptive Systems: A Research Road Map}},
  booktitle =	{Software Engineering for Self-Adaptive Systems},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8031},
  editor =	{Betty H. C. Cheng and Rogerio de Lemos and Holger Giese and Paola Inverardi and Jeff Magee},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08031.2},
  URN =		{urn:nbn:de:0030-drops-15008},
  doi =		{10.4230/DagSemProc.08031.2},
  annote =	{Keywords: Software engineering, requirements engineering, modelling, evolution, assurances, self-adaptability, self-organization, self-management}
}
Document
DOI: 10.4230/DagSemProc.08031.3
Building Biologically-Inspired Self-Adapting Systems

Authors: Yuriy Brun

Abstract
Biological systems are far more complex than systems we design and build today. The human body alone has orders of magnitude more complexity than our most-intricate designed systems. Further, biological systems are decentralized in such a way that allows them to benefit from built-in error-correction, fault tolerance, and scalability. It follows that if we can extract certain properties of biological systems and inject them into our software design process, we may be able to build complex self-adaptive software systems. Biological systems’ complexity makes them not only desirable to guide software design, but also difficult to fully understand. Thus one approach to building software similar to biological systems is by first building models of biology that we can understand. Then these models can guide the high-level design, or architecture of the software systems, resulting in systems that retain the model’s fault tolerance, scalability, and other properties. I present a general outline of how one might use biology to create a model to guide the architecture of a software system, and develop one such model and the resulting architectural style, the tile style, for computational systems that can use a large distributed network of computers, such as the internet, to solve computationally-intensive problems in a discreet, fault-tolerant, and scalable manner.
Cite as

Yuriy Brun. Building Biologically-Inspired Self-Adapting Systems. In Software Engineering for Self-Adaptive Systems. Dagstuhl Seminar Proceedings, Volume 8031, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{brun:DagSemProc.08031.3,
  author =	{Brun, Yuriy},
  title =	{{Building Biologically-Inspired Self-Adapting Systems}},
  booktitle =	{Software Engineering for Self-Adaptive Systems},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8031},
  editor =	{Betty H. C. Cheng and Rogerio de Lemos and Holger Giese and Paola Inverardi and Jeff Magee},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08031.3},
  URN =		{urn:nbn:de:0030-drops-14991},
  doi =		{10.4230/DagSemProc.08031.3},
  annote =	{Keywords: Biologically-inspired, software architecture, fault tolerance, scalability}
}

Filters

  • Authors
  • A
  • Andersson, Jesper
  • B
  • Becker, Basil
  • Bencomo, Nelly
  • Brun, Yuriy
  • C
  • Cheng, Betty H.C.
  • Cukic, Bojan
  • D
  • de Lemos, Rogerio
  • Di Marzo Serugendo, Giovanna
  • Dustdar, Schahram
  • F
  • Finkelstein, Anthony
  • G
  • Gacek, Cristina
  • Geihs, Kurt
  • Giese, Holger
  • Grassi, Vincenzo
  • I
  • Inverardi, Paola
  • K
  • Karsai, Gabor
  • Kienle, Holger
  • Kramer, Jeff
  • L
  • Litoiu, Marin
  • M
  • Magee, Jeff
  • Malek, Sam
  • Mirandola, Raffaela
  • Müller, Hausi
  • P
  • Park, Sooyong
  • S
  • Shaw, Mary
  • T
  • Tichy, Matthias
  • Tivoli, Massimo
  • W
  • Weyns, Danny
  • Whittle, Jon

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