加强了解并解决 IT/SE 招聘广告中的性别偏见问题

IF 3.7 2区计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Journal of Systems and Software Pub Date : 2024-07-31 DOI:10.1016/j.jss.2024.112169

Tanjila Kanij , John Grundy , Jennifer McIntosh

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引用次数: 0

摘要

信息技术（IT）/软件工程（SE）专业人员大多为男性。女性信息技术/软件工程专业人员数量较少的一个潜在原因可能是，招聘广告中的职位和招聘方式偏向于男性求职者。本研究的目的是收集有关 IT/SE 招聘广告中性别包容性实践现状的信息，以及如果需要，我们可以如何改进。我们对招聘经理和 IT/SE 专业人员（受雇于 IT/SE 职位）进行了一项调查。调查收集了他们对招聘广告中性别偏见的一般看法。根据他们的意见，招聘广告往往偏向男性应聘者。根据审查结果和参与者的建议，我们提出了一系列建议，以帮助招聘经理设计更具性别包容性的 SE 招聘广告。这将是培养一支性别平衡的 SE 工作队伍的第一步。

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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Enhancing understanding and addressing gender bias in IT/SE job advertisements

The majority of Information Technology (IT)/Software Engineering (SE) professionals are male. A potential reason for the low number of female IT/SE professionals might be that the roles and the way they are advertised are biased towards male candidates. The aim of this research is to collect information about the present state of practice of gender inclusiveness within IT/SE job advertisements and how, if needed, we might improve this. We conducted a survey of hiring managers and IT/SE professionals (who are employed in IT/SE roles). The survey collected their general views on gender bias within job advertisements. According to their opinions, job advertisements are often biased towards male candidates. Based on the review and suggestions from our participants we developed a set of recommendations to help hiring managers design more gender inclusive SE job advertisements. This will be a first step toward developing a gender balanced SE workforce.

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来源期刊

Journal of Systems and Software 工程技术-计算机：理论方法

CiteScore

8.60

自引率

5.70%

发文量

193

审稿时长

16 weeks

期刊介绍： The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.