Software Reengineering via Method Extraction

通过方法提取进行软件重构

• 批准号: 9987435
• 负责人: Susan Horwitz
• 金额: $ 17.57万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9987435&HistoricalAwards=false
• 关键词: Software; Reengineering; via; Method; Extraction

Programs written in non-object-oriented languages often include conceptual objects. Making the objects explicit makes the program easier to understand and to maintain, and increases opportunities for code reuse. However, manually transforming a non-objected -oriented program into an object-oriented one is a difficult and time-consuming task. The goal of this project is the design and implementation of a software-reengineering tool that will improve legacy code by making it more object-oriented. In particular, given a set of variables that are to become the fields of a class, the tool will identify code segments that should be "extracted out" to become methods of the class. This process will be guided by a set of heuristics for identifying candidate code segments, a set of correctness criteria for determining which candidates are feasible (i.e., can be extracted into methods while preserving program semantics), and a set of evaluation criteria for choosing the best candidates.

以非对象为导向的语言编写的程序通常包括概念对象。 使对象明确使程序更容易理解和维护，并增加了代码重用的机会。 但是，手动将非对象的导向程序转换为面向对象的程序是一项困难且耗时的任务。 该项目的目的是设计和实施软件重新工程工具，该工具将通过使其更加面向对象来改善旧版代码。 特别是，在给定一组将成为类字段的变量的情况下，该工具将识别应“提取”的代码段，以成为类的方法。 该过程将由一组启发式方法来指导，以识别候选代码段，一组确定哪些候选者可行的正确性标准（即可以将其提取到方法中，同时保存程序语义）以及一组评估标准，用于选择最佳候选人。