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arXiv 2209.03516cs.SE
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软件开发中性别与代码阅读速度的关系

Relationship between Gender and Code Reading Speed in Software Development

Yuriko Takatsuka, Yukasa Murakami, Masateru Tsunoda, Masahide Nakamura

摘要:

近年来,劳动力短缺已成为信息技术(IT)领域的热门话题。增加劳动力供应的一个解决方案是增加女性IT专业人员的数量。这是因为信息技术领域存在性别不平衡。为了实现这一目标,必须抑制偏见的影响,例如认为男子比妇女更适合从事科学和技术职业的看法,并增加女性专业人员的职业选择。为了抑制性别偏见的影响,我们分析了软件开发领域中性别与代码阅读速度之间的关系。某些源代码需要开发人员使用大量内存来正确理解它们,例如那些具有许多频繁更改值的变量的源代码。几项研究表明,男性和女性的记忆力表现不同。为了验证这一观点的正确性,我们通过实验分析了性别对语码阅读速度的影响。根据这一点,我们准备了四个程序,需要不同的内存量来正确理解它们。然后,我们测量了17名男性和16名女性受试者(共33名受试者)理解不同节目所需的时间。结果表明,在这方面,男性和女性受试者之间没有明显的差异,即使是在需要高记忆容量才能正确理解的程序中。

英文摘要:

Recently, workforce shortage has become a popular issue in information technology (IT). One solution to increasing the workforce supply is to increase the number of female IT professionals. This is because there is gender imbalance in information technology area. To accomplish this, it is important to suppress the influence of biases, such as the belief that men are more suited for careers in science and technology than women, and to increase the choice of careers available to female professionals. To help suppress the influence of gender bias, we analyzed the relationship between gender and code reading speed in the field of software development. Certain source codes require developers to use substantial memory to properly understand them, such as those with many variables that frequently change values. Several studies have indicated that the performance of memory differs in males and females. To test the veracity of this claim, we analyzed the influence of gender on code-reading speed through an experiment. Pursuant to this, we prepared four programs that required varied amounts of memory to properly understand them. Then, we measured the time required by each of the 17 male and 16 female subjects (33 subjects in total) to comprehend the different programs. The results suggest that there is no explicit difference between male and female subjects in this regard, even in the case of programs that require high memory capacities for proper understanding.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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