[DEECo] Fwd: [SEWORLD] Call for papers: IEEE Software special issue on Trends in Systems and Software Variability

[Jaroslav Keznikl]

FYI

---------- Forwarded message ----------
From: Rafael Capilla <rafael.capilla at urjc.es>
Date: 2014-05-12 15:52 GMT+02:00
Subject: [SEWORLD] Call for papers: IEEE Software special issue on Trends
in Systems and Software Variability
To: seworld at sigsoft.org


IEEE Software Special Issue on Trends in Systems and Software Variability

http://www.computer.org/portal/web/computingnow/swcfp3

Final submissions due: 1 October 2014
Publication date: May/June 2015
======================================================================

Cyber-physical systems (CPS) are systems whose computational elements
collaborate to control physical entities. A wide variety of CPS can be
found in areas such as aerospace, automotive, energy, healthcare,
manufacturing, transportation, entertainment, robots, and consumer
appliances. The challenge for building CPS product families relies on new
methods able to address more efficiently, dynamically, and intelligently
than ever before the context information needed by self-adaptive and CPS
systems.

Over the past two decades, software product line engineering (SPLE) has
been accepted as a successful software development approach for companies
that must build multiple, related products at lower costs. Today, a variety
of CPS systems can be viewed as product lines that exploit software
variability for some of their (for example, information gathering and
reconfiguration alternatives). However, structural variability, as
represented at design time in conventional SPLs, seems inadequate to face
the dynamicity required by CPS systems for using context information.
Reconfiguration and rebinding capabilities are new capabilities demanded by
self-adaptive processes and used by CPS systems that demand multiple
binding time support. While several SPL development strategies have been
proposed and used, less attention has been paid to newer software
variability approaches. Since 2007, research has advanced the state of the
art with modern variability techniques able to deal with the many
challenges of today's dynamic, critical, and real-time systems. Today, the
increasing demand of self-adaptive and cyber-physical systems to exploit
contextual information and the increasing need for runtime binding and
dynamic adaptation of systems to varying conditions require new techniques
and models able to support these dynamic conditions. Emerging paradigms
such as dynamic software product lines that put the focus on runtime
variability techniques attempt to address these challenges.

The IEEE Software special issue on Trends in Systems and Software
Variability will present a variety of techniques, tools, and approaches for
software variability that support the challenge of adaptation and awareness
of CPS systems and its impact on recent software product line development
approaches. We invite contributions related but not limited to:

- architectures for cyber-physical systems that effectively support dynamic
variability;
- context variability and its representation; modeling techniques and
viewpoints directed to modeling the contextual and physical properties of
CPS;
- techniques to raise awareness of software engineers to the runtime
changes that arise from variability that is managed dynamically'
- reconfiguration and rebinding strategies for binding system options at
different stages (for example, redeployment, reconfiguration) and to ease
the transitions between system operational modes;
- new software product line development methods supporting runtime
variability models and its impact in the SPL development lifecycle;
- case studies on the impact on software evolution of dynamic variability
models;
- new variability realization, configuration, and deployment methods;
- tools and models for managing both static and dynamic variability in CPS
using context information;
- industry cases and experience reports managing dynamic variability for
different types of CPS;
- approaches integrating variability management with other software
engineering techniques and artifacts;
- software variability techniques for self-adaptive and cyber-physical
systems;
- self-adaptive and CPS systems viewed as a dynamic software product lines
(DSPLs); and
- integration of runtime variability solutions into current SPL/DSPL
practice.

Submission Guidelines

Full submissions for the special issue must not exceed 4,700 words
including figures and tables, which count for 200 words each. Submissions
in excess of these limits may be rejected without refereeing. The articles
we deem within the theme and scope will be peer-reviewed and are subject to
editing for magazine style, clarity, organization, and space. We reserve
the right to edit the title of all submissions. Be sure to include the name
of the theme or Special Issue you are submitting for.

Articles should have a practical orientation and be written in a style
accessible to practitioners. Overly complex, purely research-oriented or
theoretical treatments are not appropriate. Articles should be novel. IEEE
Software does not republish material published previously in other venues,
including other periodicals and formal conference/workshop proceedings,
whether previous publication was in print or in electronic form.

For more information about the focus, please contact the Guest Editors:
• Jan Bosch, jan at janbosch.com
• Rafael Capilla, rafael.capilla at urjc.es
• Rich Hilliard, richh at mit.edu

For general author guidelines: www.computer.org/software/author.htm
 For submission details: software at computer.org
 To submit an article: https://mc.manuscriptcentral.com/sw-cs

***********************************************************
Systems and Software Variability Management Book
http://www.springer.com/computer/swe/book/978-3-642-36582-9
===========================================
Rafael Capilla
Universidad Rey Juan Carlos
Department of Computer Science
c/ Tulipan s/n, 28933, Madrid, Spain
Email: rafael.capilla at urjc.es
http://www.sait.etsii.urjc.es/rafael

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