Product Metrics for Automatic Identification of "Bad Smell" Design Problems in Java Source-Code

11th IEEE International Software Metrics Symposium (METRICS'05) Pub Date : 2005-09-19 DOI:10.1109/METRICS.2005.38

M. Munro

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引用次数: 237

Abstract

Refactoring can have a direct influence on reducing the cost of software maintenance through changing the internal structure of the source-code to improve the overall design that helps the present and future programmers evolve and understand a system. Bad smells are a set of design problems with refactoring identified as a solution. Locating these bad smells has been described as more a human intuition than an exact science. This paper addresses the issue of identifying the characteristics of a bad smell through the use of a set of software metrics. Then by using a pre-defined set of interpretation rules to interpret the software metric results applied to Java source-code, the software engineer can be provided with significant guidance as to the location of bad smells. These issues are addressed in a number of ways. Firstly, a precise definition of bad smells is given from the informal descriptions given by the originators Fowler and Beck. The characteristics of the bad smells have been used to define a set of measurements and interpretation rules for a subset of the bad smells. A prototype tool has been implemented to enable the evaluation of the interpretation rules in two case studies.

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在Java源代码中自动识别“臭味”设计问题的产品度量

重构可以通过改变源代码的内部结构来改善整体设计，从而对降低软件维护成本产生直接影响，从而帮助现在和未来的程序员改进和理解系统。不良气味是一组设计问题，需要通过重构来确定解决方案。找到这些难闻的气味更像是人类的直觉，而不是一门精确的科学。本文通过使用一组软件度量来解决识别难闻气味特征的问题。然后，通过使用一组预定义的解释规则来解释应用于Java源代码的软件度量结果，可以为软件工程师提供有关不良气味位置的重要指导。这些问题可以通过多种方式解决。首先，从发起人福勒和贝克给出的非正式描述中给出了臭味的精确定义。难闻气味的特征已经被用来定义一组难闻气味子集的测量和解释规则。已经实现了一个原型工具，以便在两个案例研究中对解释规则进行评估。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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11th IEEE International Software Metrics Symposium (METRICS'05)

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