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A Technique and a Tool to Detect Emergent Behavior of Distributed Systems Using Scenario-Based Specifications

机译:一种使用基于场景的规范来检测分布式系统的紧急行为的技术和工具

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Distributed systems are employed in countless applications such as information systems, robotics, etc. Lack of central control makes the design of such systems a challenging task because of possible unwanted behavior at runtime, commonly known as emergent behavior. Developing a methodology to detect emergent behavior in the pre-implementation stages of the software development life-cycle of distributed systems can potentially lead to huge savings in time and cost. Moreover, due to the typical large size of the modern distributed systems, automating the detection methodology is considered greatly beneficial. An effective and efficient approach for the design of distributed systems is to describe system requirements using scenarios. A scenario, commonly known as a message sequence chart (MSC), is a temporal sequence of messages sent between system components. However, scenario-based specifications may contain subtle deficiencies with respect to analysis and validation known as incompleteness and partial description. In this research, a tool to automatically detect emergent behavior of scenario-based specification of distributed systems is developed and demonstrated using a robotics example.
机译:分布式系统用于无数应用程序,例如信息系统,机器人等。缺乏中央控制使得这种系统的设计成为一个具有挑战性的任务,因为在运行时可能的不需要的行为,通常称为紧急行为。开发一种方法来检测软件开发前阶段在分布式系统的软件开发生命周期的突出行为中可能会导致巨大的节省时间和成本。此外,由于现代分布式系统的典型大尺寸,自动化检测方法被认为是极大的有益。用于分布式系统设计的有效和有效的方法是使用场景描述系统要求。一种常见称为消息序列图(MSC)的场景,是系统组件之间发送的消息的时间序列。然而,基于方案的规范可能包含关于分析和验证的微妙缺陷,称为不完整性和部分描述。在本研究中,使用机器人示例开发并演示了一种自动检测基于场景的基于方式的基于场景的新行为的工具。

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