诊断软件中的退化形式

Brian S. Dillon
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引用次数: 0

摘要

由于维护而导致的源代码退化是一个早已为人所知但却鲜为人知的现象。目前,研究人员在进行实证研究和实验、研究大型项目以及描述退化形式的发展和生长时,面临着重大的后勤挑战。通过开发旨在识别退化表单的自动化度量,可以部分缓解这些后勤挑战。此外,这些度量对于有针对性的重构和修复退化形式是必不可少的。本文研究了一组针对软件中常见的特定退化形式的度量。这些度量的成功实现和特征化将使进一步研究多种形式的软件维护成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosing degenerate forms in software
The degeneration of source code due to maintenance is a long known but little understood phenomenon. Currently, researchers face significant logistical challenges when conducting empirical studies and experiments, studying large-scale projects, and characterizing the development and growth of degenerative forms. These logistical challenges can be partially alleviated by developing automated metrics designed to identify degenerate forms. Furthermore, such metrics are essential for targeted refactoring and repairing degenerative forms. This dissertation research investigates a set of metrics targeted at specific degenerate forms common in software. The successful implementation and characterization of such metrics will enable further research in many forms of software maintenance.
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