SHF: Small: Collaborative Research: Balancing Expressiveness and Modular Reasoning for Aspect-oriented Programming

SHF：小型：协作研究：平衡面向方面编程的表达性和模块化推理

• 批准号: 1017334
• 负责人: Hridesh Rajan
• 金额: $ 25.77万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017334&HistoricalAwards=false
• 关键词: SHF; Small; Collaborative; Research; Balancing

Software systems are poised to keep growing in complexity and permeate deeper into the critical infrastructures of society. The complexity of these systems is exceeding the limits of existing modularization mechanisms and reliability requirements are becoming stringent. Development of new separation of concerns (SoC) techniques is thus vital to make software more reliable and maintainable. Implicit invocation (II) and aspect-oriented (AO) programming languages provide related but distinct mechanisms for separation of concerns. The proposed work encompasses fundamental and practical efforts to improve modularization and reasoning mechanisms for II and AO languages, which is a long standing challenge for both kinds of languages. Addressing these challenges has the potential to significantly improve the quality of software by easing the adoption of new separation of concerns techniques.The project will proceed using the experimental language, Ptolemy, which blends both II and AO ideas. Ptolemy has explicitly announced events, which are defined in interfaces called "event types". Event types help separate concerns and decouple advice from the code it advises. Event type declarations also offer a place to specify advice. The explicit announcement of events allows the possibility of careful reasoning about correctness of Ptolemy programs, since it is possible to reason about parts of the program where there are no events in a conventional manner. The project aims to investigate reasoning by developing a formal specification language and verification technique. The approach is based on the idea of greybox ("model program'') specifications, as found in JML and the refinement calculus. There are known techniques for reasoning about uses of abstractions that have model program specifications, and the project will apply these to Ptolemy. The intellectual merit is in the treatment of expressions in Ptolemy that announce events and those that cause an advice to proceed. A straightforward adaptation of existing reasoning techniques to these cases appears to require a whole program analysis, which is generally not desirable for modular and scalable verification. The project also aims to investigate the utility and effectiveness of Ptolemy and its specification system. A software evolution analysis will be conducted to study the ability of competing aspect-oriented, implicit invocation, and Ptolemy implementations of open source projects to withstand change. Showing Ptolemy's benefits over II and AO languages will help software designers in deciding on advanced mechanisms for separation of concerns.

软件系统有望保持复杂性的增长，并更深入地进入社会的关键基础设施。这些系统的复杂性超出了现有模块化机制的限制，并且可靠性要求变得严格。因此，开发新的问题分离（SOC）技术对于使软件更可靠和可维护至关重要。隐式调用（II）和面向方面的（AO）编程语言为分离关注点提供了相关但不同的机制。拟议的工作包括改善II和AO语言的模块化和推理机制的基本和实践努力，这是两种语言的长期挑战。解决这些挑战的潜力有可能通过简化新的关注技术分离来显着提高软件的质量。该项目将使用实验语言托勒密（Ptolemy）进行，该项目将II和AO的想法融合在一起。托勒密已经明确宣布了事件，这些事件是在称为“事件类型”的接口中定义的。事件类型有助于将问题分开，并将建议与建议的代码分开。事件类型声明还提供了指定建议的地方。明确的事件公告允许对托勒密计划的正确性进行仔细的推理，因为可以推理该程序的一部分，而该程序没有以传统方式进行事件。该项目旨在通过开发正式的规范语言和验证技术来调查推理。该方法基于灰色（“模型程序”）规范的概念，如JML和细化演算所示。有关具有模型程序规范的抽象使用的推理的已知技术，并且这些项目将这些技术应用于托勒密。智力优点在于，这些方法是在ptolemem contiment consection and progaint for thune prosection and progance to thus for thus thus for thus for th the the the the the the the the the the thus for to the for to th the the the the the the thus for to n seption的处理中的优点。需要整个程序分析，对于模块化和可扩展性验证，该项目还旨在研究托勒密的效用和有效性及其规范系统。关注点的分离。