Empirical Evaluation of Multiparadigm Software Development

在软件开发过程中，程序员会使用一系列 不同的程序表示，包括伪代码、数据流 图，有限状态自动机，控制流程图，以及许多其他。 程序员还可以创建自己的自定义表示或 语言来表达他们解决问题的特殊方法。 传统的开发环境迫使程序员翻译 这些不同的范例到一个单一的文本表示， 计算机可以理解，并在这之间进行翻译， 在编码，调试， 和维护 多范式开发环境提供了 程序员有机会直接与他们的 概念化，使用任何 表示是最自然的;这样的环境消除了 在程序员概念之间进行心理翻译， 可执行代码。 本研究旨在检验多范式的有效性 通过设计实验来回答以下几种问题 问题： 它是否使程序更容易设计或编码？ 它是否使程序或设计更容易理解？ 它是否简化了增强现有计划的过程 来提高它们的功能或性能 它是否使程序员更容易跟踪和 消除bug？ 软件开发者更喜欢它吗？

During software development, programmers employ a range of different program representations, including pseudocode, data flow diagrams, finite-state automata, control flow charts, and many others. Programmers may also create their own custom representations or languages to express their particular approach to a problem. Conventional development environments force programmers to translate these different paradigms into a single textual representation that the computer can understand, and to translate between this representation and their conceptualizations during coding, debugging, and maintenance. Multiparadigm development environments offer the opportunity for programmers to work directly with their conceptualizations, to work with a program using whatever representation is most natural; such environments eliminate the need to perform mental translations between programmer concepts and executable code. The proposed research is to test the validity of multiparadigm programming by designing experiments to answer the following kinds of questions: Does it make programs easier to design or code? Does it make programs or designs easier to understand? Does it simplify the process of enhancing existing programs to increase their functionality or their performance? Does it make it easier for programmers to track down and eliminate bugs? Do software developers prefer it?