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The concept of adaptation and self-adaptation of systems, in particular at runtime has caught the attention of the research community at large, both inside the domain of SPL as well as outside SPL in areas like models-at-runtime, self-adaptive systems, ubiquitous computing, etc. Dynamic software product lines (DSPL) constitute an emerging but promising research area where SPL concepts are entangled with runtime variability mechanisms, context information and runtime adaptation. However, the challenge to create better and smarter adaptable systems is still challenging. The workshop is intended as a highly interactive forum using a discussant format and to provide a forum for the exchange of ideas, to establish cooperations, and to bring industry and research together.

征稿信息

重要日期

2016-07-08
初稿截稿日期

征稿范围

Organization of DSPL:

  • Development approaches and organizational models to set a DSPL

  • Comparison between SPL and DSPL models

  • New activities required by a DSPL

  • Upfront cost and post-deployment activities

Dynamic binding in SPL:

  • Multiple binding times and the transition between them

  • Rebinding issues after deployment

  • Binding times and system operational models

  • Dynamic library loading mechanisms

  • Dynamic variability management

  • Managing runtime variants and variation points

  • Runtime managers supporting variability

  • Optimization of runtime variability solutions

  • Variability constraints and dependencies managed at runtime

  • Relation between pre-runtime and runtime variabilities, their properties and models

DSPL and software engineering:

  • Runtime SPL requirements engineering

  • Runtime SPL architecture analysis

  • Dynamic component model for system of systems engineering

  • Trade-off analysis between adaptability and other qualities

  • Context-oriented features and runtime variability

  • Tools supporting any aspect related to DSPL and dynamic variability approaches

  • Collaborative features at runtime

DSPL application domains:

  • Role of dynamic variability in specific application domains (e.g., Automotive and smart vehicles, Critical systems, Drones, Cloud systems, Robotics)

  • Self-adaptive systems using dynamic variability techniques

  • Context variability for IoT software

  • Case studies

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重要日期
  • 09月16日

    2016

    会议日期

  • 07月08日 2016

    初稿截稿日期

  • 09月16日 2016

    注册截止日期

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