文章基本信息

标题：Enhancing Software Comments Readability Using Flesch Reading Ease Score
本地全文：下载
作者：Derar Eleyan ; Abed Othman ; Amna Eleyan 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2020
卷号：11
期号：9
页码：430-454
DOI：10.3390/info11090430
出版社：MDPI Publishing
摘要：Comments are used to explain the meaning of code and ease communications between programmers themselves, quality assurance auditors, and code reviewers. A tool has been developed to help programmers write readable comments and measure their readability level. It is used to enhance software readability by providing alternatives to both keywords and comment statements from a local database and an online dictionary. It is also a word-finding query engine for developers. Readability level is measured using three different formulas: the fog index, the Flesch reading ease score, and Flesch–Kincaid grade levels. A questionnaire has been distributed to 42 programmers and 35 students to compare the readability aspect between both new comments written by the tool and the original comments written by previous programmers and developers. Programmers stated that the comments from the proposed tool had fewer complex words and took less time to read and understand. Nevertheless, this did not significantly affect the understandability of the text, as programmers normally have quite a high level of English. However, the results from students show that the tool affects the understandability of text and the time taken to read it, while text complexity results show that the tool makes new comment text that is more readable by changing the three studied variables.
关键词：Flesch–Kincaid; Flesch reading ease score; fog index; readability; software code; software comment software quality Flesch–Kincaid ; Flesch reading ease score ; fog index ; readability ; software code ; software comment software quality