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Documents authored by Brun, Yuriy

Document
DOI: 10.4230/DagSemProc.10431.3
Software Engineering for Self-Adaptive Systems: A second Research Roadmap

Authors: Rogerio de Lemos, Holger Giese, Hausi Müller, Mary Shaw, Jesper Andersson, Luciano Baresi, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cikic, Ron Desmarais, Schahram Dustdar, Gregor Engels, Kurt Geihs, Karl M. Goeschka, Alessandra Gorla, Vincenzo Grassi, Poala Inverardi, Gabor Karsai, Jeff Kramer, Marin Litoiu, Antonia Lopes, Jeff Magee, Sam Malek, Serge Mankovskii, Raffaela Mirandola, John Mylopoulos, Oscar Nierstrasz, Mauro Pezzè, Christian Prehofer, Wilhelm Schäfer, Wilhelm Schlichting, Bradley Schmerl, Dennis B. Smith, Joao P. Sousa, Gabriel Tamura, Ladan Tahvildari, Norha M. Villegas, Thomas Vogel, Danny Weyns, Kenny Wong, and Jochen Wuttke

Published in: Dagstuhl Seminar Proceedings, Volume 10431, Software Engineering for Self-Adaptive Systems (2011)

Abstract
The goal of this roadmap paper is to summarize the state of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for adaptive solutions, processes, from centralized to decentralized control, and practical run-time verification and validation. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.
Cite as

Rogerio de Lemos, Holger Giese, Hausi Müller, Mary Shaw, Jesper Andersson, Luciano Baresi, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cikic, Ron Desmarais, Schahram Dustdar, Gregor Engels, Kurt Geihs, Karl M. Goeschka, Alessandra Gorla, Vincenzo Grassi, Poala Inverardi, Gabor Karsai, Jeff Kramer, Marin Litoiu, Antonia Lopes, Jeff Magee, Sam Malek, Serge Mankovskii, Raffaela Mirandola, John Mylopoulos, Oscar Nierstrasz, Mauro Pezzè, Christian Prehofer, Wilhelm Schäfer, Wilhelm Schlichting, Bradley Schmerl, Dennis B. Smith, Joao P. Sousa, Gabriel Tamura, Ladan Tahvildari, Norha M. Villegas, Thomas Vogel, Danny Weyns, Kenny Wong, and Jochen Wuttke. Software Engineering for Self-Adaptive Systems: A second Research Roadmap. In Software Engineering for Self-Adaptive Systems. Dagstuhl Seminar Proceedings, Volume 10431, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InProceedings{delemos_et_al:DagSemProc.10431.3,
  author =	{de Lemos, Rogerio and Giese, Holger and M\"{u}ller, Hausi and Shaw, Mary and Andersson, Jesper and Baresi, Luciano and Becker, Basil and Bencomo, Nelly and Brun, Yuriy and Cikic, Bojan and Desmarais, Ron and Dustdar, Schahram and Engels, Gregor and Geihs, Kurt and Goeschka, Karl M. and Gorla, Alessandra and Grassi, Vincenzo and Inverardi, Poala and Karsai, Gabor and Kramer, Jeff and Litoiu, Marin and Lopes, Antonia and Magee, Jeff and Malek, Sam and Mankovskii, Serge and Mirandola, Raffaela and Mylopoulos, John and Nierstrasz, Oscar and Pezz\`{e}, Mauro and Prehofer, Christian and Sch\"{a}fer, Wilhelm and Schlichting, Wilhelm and Schmerl, Bradley and Smith, Dennis B. and Sousa, Joao P. and Tamura, Gabriel and Tahvildari, Ladan and Villegas, Norha M. and Vogel, Thomas and Weyns, Danny and Wong, Kenny and Wuttke, Jochen},
  title =	{{Software Engineering for Self-Adaptive Systems:  A second Research Roadmap}},
  booktitle =	{Software Engineering for Self-Adaptive Systems},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10431},
  editor =	{Rogerio de Lemos and Holger Giese and Hausi M\"{u}ller and Mary Shaw},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10431.3},
  URN =		{urn:nbn:de:0030-drops-31561},
  doi =		{10.4230/DagSemProc.10431.3},
  annote =	{Keywords: }
}
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

Published in: Dagstuhl Seminar Proceedings, Volume 8031, Software Engineering for Self-Adaptive Systems (2008)

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

Published in: Dagstuhl Seminar Proceedings, Volume 8031, Software Engineering for Self-Adaptive Systems (2008)

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}
}
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