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Workshop on Developmental aspects of Intelligent Adaptive Systems (DIAS)

机译：智能自适应系统（DIAS）发展方面的研讨会

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With the proliferation of the Internet of Things and the associated trend of integration of software with "things", it is predicted that the complexity of the systems-of-future will be characterized not only by scale and variety of devices and software but also by the constant change of the system context due to the mobility of devices and M2M interactions. Consequently, the current paradigm of automation will be inadequate for the management and operation of these systems. The dominant approach to address this issue is to design and develop autonomous systems that can adapt to the changes in various levels and keep delivering the expected functionality. Such systems need fundamentally different architectures, components and methodologies incorporating new paradigms such as machine learning and intelligent decision making. In this workshop, we attempt to discuss the influence of these paradigms on the development life cycle of adaptive software, starting from requirements, design and architecture and also their verification and validation.
机译：随着物联网的发展以及软件与“事物”集成的相关趋势，可以预见的是，未来系统的复杂性不仅将由设备和软件的规模和种类来表征，而且还将由由于设备的移动性和M2M交互，导致系统上下文的不断变化。因此，当前的自动化范例对于这些系统的管理和操作来说是不够的。解决此问题的主要方法是设计和开发可适应各种级别的变化并不断提供预期功能的自主系统。这样的系统需要根本不同的架构，组件和方法，并结合新的范例，例如机器学习和智能决策。在本研讨会中，我们尝试从需求，设计和体系结构以及它们的验证和确认开始，探讨这些范式对自适应软件开发生命周期的影响。

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