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第一届元件配置逻辑国际研讨会论文集

Proceedings First International Workshop on Logics for Component Configuration

Inês Lynce, Ralf Treinen

摘要:

本卷包含在第一届逻辑组件配置国际研讨会(LoCoCo 2010)上提交的论文,该研讨会与国际会议理论和可满足性测试应用(SAT 2010)相关,作为联邦逻辑会议(FLoC 2010)的一部分,并于2010年7月10日在英国爱丁堡举行。现代软件发行版基于组件的概念,组件表示独立开发和部署的单元。组件在组织复杂的软件分发时提供了必要的灵活性,但在从大量可能的选择库中选择组件,并根据用户需求、资源约束和与其他组件的相互依赖性配置这些组件时,组件也是一个挑战。配置问题的表示和求解是许多应用领域的一个重要研究课题。一些著名的复杂组件系统的例子是自由和开源软件发行版,如GNU/Linux或Eclipse插件。LoCoCo研讨会的重点是基于逻辑的方法,用于指定和解决软件组件的复杂配置问题。目标是汇集活跃在软件系统组件配置领域的研究人员和从业人员,使用不同的建模和求解技术,如约束和逻辑编程,描述逻辑,可满足性及其扩展。

英文摘要:

This volume contains the papers presented at the first international workshop on Logics for Component Configuration (LoCoCo 2010) which was associated with the International Conference on Theory and Applications of Satisfiability Testing (SAT 2010) as part of the Federated Logic Conference (FLoC 2010), and which took place on July 10, 2010 in Edinburgh, UK. Modern software distributions are based on the notion of components, which denote units of independent development and deployment. Components provide the necessary flexibility when organizing a complex software distribution, but also are a challenge when it comes to selecting components from a large repository of possible choices, and configuring these components according to user needs, resource constraints, and interdependencies with other components. Representing and solving configuration problems is a hot topic of great importance for many application domains. Some well-known examples of complex systems of components are Free and Open Source software distributions like GNU/Linux, or Eclipse plugins. The LoCoCo workshop has a focus on logic-based methods for specifying and solving complex configuration problems for software components. The goal was to bring together both researchers and practitioners active in the area of component configuration of software systems, using different modeling and solving techniques, such as constraint and logic programing, description logics, satisfiability and its extensions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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