一种自动评估方法名称的方法

Reem S. Alsuhaibani, Christian D. Newman, M. J. Decker, M. Collard, Jonathan I. Maletic
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引用次数: 1

摘要

提出了一种通过提供分数和反馈来自动评估方法名质量的方法。该方法实现了十个方法命名标准来评估名称。命名标准来自于通过对软件专业人员的大规模调查来验证标准的工作。实现这些标准需要词性标注、标识符分割和字典查找等自然语言处理技术。该方法首先通过手动构造一个大的黄金方法名称集来评估。每个方法名称由几个开发人员评定,并标记为符合或不符合每个标准。这些评级允许将方法的结果与专家评估进行比较。此外,该方法应用于几个系统,并对结果进行了人工检查以确保准确性。
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An Approach to Automatically Assess Method Names
An approach is presented to automatically assess the quality of method names by providing a score and feedback. The approach implements ten method naming standards to evaluate the names. The naming standards are taken from work that validated the standards via a large survey of software professionals. Natural language processing techniques such as part-of-speech tagging, identifier splitting, and dictionary lookup are required to implement the standards. The approach is evaluated by first manually constructing a large golden set of method names. Each method name is rated by several developers and labeled as conforming to each standard or not. These ratings allow for comparing the results of the approach against expert assessment. Additionally, the approach is applied to several systems and the results are manually inspected for accuracy.
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