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Documents authored by Weyns, Danny

Document
DOI: 10.4230/DARTS.4.1.0
Front Matter - SEAMS 2018 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee

Authors: Tomas Bures, Danny Weyns, and Jesper Andersson

Published in: DARTS, Volume 4, Issue 1, Special Issue of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2018)

Abstract
Front Matter - SEAMS 2018 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee
Cite as

Special Issue of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2018). Dagstuhl Artifacts Series (DARTS), Volume 4, Issue 1, pp. 0:i-0:xiii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{bures_et_al:DARTS.4.1.0,
  author =	{Bures, Tomas and Weyns, Danny and Andersson, Jesper},
  title =	{{ Front Matter - SEAMS 2018 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee}},
  pages =	{0:i--0:xiii},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2018},
  volume =	{4},
  number =	{1},
  editor =	{Bures, Tomas and Weyns, Danny and Andersson, Jesper},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.4.1.0},
  URN =		{urn:nbn:de:0030-drops-87096},
  doi =		{10.4230/DARTS.4.1.0},
  annote =	{Keywords: Front Matter - SEAMS 2018 Artifacts, Table of Contents, Preface, Artifact Evaluation Committee}
}
Document
DOI: 10.4230/DARTS.3.1.3
UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles (Artifact)

Authors: Simos Gerasimou, Radu Calinescu, Stepan Shevtsov, and Danny Weyns

Published in: DARTS, Volume 3, Issue 1, Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017)

Abstract
Recent advances in embedded systems and underwater communications raised the autonomy levels in unmanned underwater vehicles (UUVs) from human-driven and scripted to adaptive and self-managing. UUVs can execute longer and more challenging missions, and include functionality that enables adaptation to unexpected oceanic or vehicle changes. As such, the UNDERSEA artifact facilitates the development, evaluation and comparison of self-adaptation solutions in a new and important application domain. UNDERSEA comes with predefined oceanic surveillance UUV missions, adaptation scenarios, and a reference controller implementation, all of which can easily be extended or replaced.
Cite as

Simos Gerasimou, Radu Calinescu, Stepan Shevtsov, and Danny Weyns. UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater Vehicles (Artifact). In Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017). Dagstuhl Artifacts Series (DARTS), Volume 3, Issue 1, pp. 3:1-3:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{gerasimou_et_al:DARTS.3.1.3,
  author =	{Gerasimou, Simos and Calinescu, Radu and Shevtsov, Stepan and Weyns, Danny},
  title =	{{UNDERSEA: An Exemplar for Engineering Self-Adaptive Unmanned Underwater  Vehicles (Artifact)}},
  pages =	{3:1--3:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2017},
  volume =	{3},
  number =	{1},
  editor =	{Gerasimou, Simos and Calinescu, Radu and Shevtsov, Stepan and Weyns, Danny},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.3.1.3},
  URN =		{urn:nbn:de:0030-drops-71416},
  doi =		{10.4230/DARTS.3.1.3},
  annote =	{Keywords: Unmanned underwater vehicle exemplar; self-adaptive embedded systems; oceanic surveillance}
}
Document
DOI: 10.4230/DARTS.3.1.4
DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things (Artifact)

Authors: M. Usman Iftikhar, Gowri Sankar Ramachandran, Pablo Bollansée, Danny Weyns, and Danny Hughes

Published in: DARTS, Volume 3, Issue 1, Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017)

Abstract
The DeltaIoT exemplar enables researchers to evaluate and compare new methods, techniques and tools for self-adaptation in Internet of Things (IoT). The exemplar applies multi-hop communication, where each IoT mote must have a path towards the gateway along other motes. Our motes use LoRa radio technology supporting long range communication. The focus is on dynamically adapting the network settings of the IoT motes (e.g., transmission power and spreading factor) to reduce the energy consumption of the motes and guaranteeing high packet delivery performance, regardless of uncertainties such as sudden changes in traffic load and communication interference. Traditionally, to deal with uncertainties the network settings are either hand-tuned or over-provisioned, resulting in continuous network maintenance. Self-adaptation can automate these tasks. The exemplar provides several reference scenarios for experimentation. DeltaIoT comprises a simulator for offline experimentation and a physical setup of 25 motes that can be accessed remotely for experimentation in the field. This IoT system is deployed at the Computer Science Department Campus of KU Leuven.
Cite as

M. Usman Iftikhar, Gowri Sankar Ramachandran, Pablo Bollansée, Danny Weyns, and Danny Hughes. DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things (Artifact). In Special Issue of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017). Dagstuhl Artifacts Series (DARTS), Volume 3, Issue 1, pp. 4:1-4:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{iftikhar_et_al:DARTS.3.1.4,
  author =	{Iftikhar, M. Usman and Ramachandran, Gowri Sankar and Bollansée, Pablo and Weyns, Danny and Hughes, Danny},
  title =	{{DeltaIoT: A Real World Exemplar for Self-Adaptive Internet of Things (Artifact)}},
  pages =	{4:1--4:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2017},
  volume =	{3},
  number =	{1},
  editor =	{Iftikhar, M. Usman and Ramachandran, Gowri Sankar and Bollansée, Pablo and Weyns, Danny and Hughes, Danny},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.3.1.4},
  URN =		{urn:nbn:de:0030-drops-71425},
  doi =		{10.4230/DARTS.3.1.4},
  annote =	{Keywords: Internet-of-Things; self-adaptation; exemplar}
}
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.
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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}
}
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