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First Steps Towards a Wise Development Environment for Behavioral Models

机译:明智的行为模型开发环境的第一步

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摘要

The authors present an initial wise development framework: a development environment that proactively and interactively assists the software engineer in modeling complex reactive systems. Their framework repeatedly analyzes models of the system under development at various levels of abstraction, and then reasons about these models in order to detect possible errors, to derive emergent properties of interest, and to assist in system testing and debugging. Upon request, the environment can instrument the system model in order to monitor or test the execution for certain behaviors, or even augment it in order to repair or avoid detected behavior that is undesired. The direction and prioritization of the analysis and related tasks is based on the relevance of the observed properties and the expected impact of actions to be taken, and is performed by specialized automated and human-assisted techniques that have been incorporated into the framework. The authors' development environment is an initial step in the direction of their recent Wise Computing vision, which calls for turning the computer (namely, the development environment) into an equal member of the development team: knowledgeable, independent, concerned and proactively involved in the development process. They have implemented their tool within the context of behavioral programming (BP) - a scenario-based modeling approach, in which components are aligned with how humans often describe desired system behavior. The authors' work thus further enhances the naturalness and incrementality of developing in BP.
机译:作者提出了一个初步的明智的开发框架:一种主动和交互地协助软件工程师对复杂的反应系统进行建模的开发环境。他们的框架在各个抽象级别上反复分析正在开发的系统的模型,然后对这些模型进行原因分析,以检测可能的错误,导出感兴趣的紧急特性并帮助进行系统测试和调试。根据请求,环境可以对系统模型进行检测,以监视或测试某些行为的执行,甚至可以对其进行扩充,以修复或避免检测到的不良行为。分析和相关任务的方向和优先级基于观察到的属性的相关性以及要采取的措施的预期影响,并通过已纳入框架的专用自动化和人工辅助技术来执行。作者的开发环境是他们最近的Wise Computing愿景迈出的第一步,该愿景要求将计算机(即开发环境)转变为开发团队的平等成员:知识渊博,独立,关注和积极参与开发过程。他们已经在行为编程(BP)的上下文中实现了他们的工具,这是一种基于场景的建模方法,其中的组件与人类通常描述所需系统行为的方式保持一致。因此,作者的工作进一步增强了BP开发的自然性和增量性。

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