Conversations around diversity and inclusion in software engineering often focus on gender and racial disparities. However, the State of Devs 2025 survey with 8,717 participants revealed that other forms of discrimination are similarly prevalent but receive considerably less attention. This includes discrimination based on age, political perspective, disabilities, or cognitive differences such as neurodivergence. We conducted a secondary analysis of 800 open-ended survey responses to examine patterns of perceived discrimination, as well as related challenges and negative impacts. Our study covers multiple identity facets, including age, gender, race, and disability. We found that age- and gender-related discrimination was the most frequently reported workplace issue, but discrimination based on political and religious views emerged as further notable concerns. Most of the participants who identified as female cited gender as the primary source of discrimination, often accompanied by intersectional factors such as race, political views, age, or sexual orientation. Discrimination related to caregiving responsibilities was reported by all gender identities. Regarding the negative impacts of workplace issues, many participants described modifying their appearance or behavior in response to gender biases. Gender also appeared to influence broader career challenges, as women and non-binary respondents reported experiencing almost all workplace issues at higher rates, particularly discrimination (35%) and mental health challenges (62%). Our goal is to raise awareness in the research community that discrimination in software development is multifaceted, and to encourage researchers to select and assess relevant facets beyond age and gender when designing software engineering studies.
翻译:软件工程领域关于多样性与包容性的讨论通常聚焦于性别和种族差异。然而,2025年《开发者现状》调查通过对8,717名参与者的研究显示,其他形式的歧视同样普遍存在却未获得足够关注,包括基于年龄、政治立场、残障状况或神经多样性等认知差异的歧视。我们对800份开放式调查答复进行了二次分析,以探究感知歧视的模式及其相关挑战与负面影响。本研究涵盖年龄、性别、种族及残障状况等多重身份维度。研究发现:年龄与性别相关歧视是最常被提及的职场问题,但基于政治与宗教观点的歧视亦成为显著关切点。大多数女性身份参与者将性别列为主要歧视来源,且常与种族、政治观点、年龄或性取向等交叉性因素并存。所有性别身份的参与者均报告了因照护责任引发的歧视。关于职场问题的负面影响,许多参与者描述其为应对性别偏见而改变外貌或行为。性别因素亦影响更广泛的职业挑战:女性和非二元性别受访者报告遭遇几乎所有职场问题的比例更高,尤其是歧视(35%)和心理健康挑战(62%)。本研究旨在促使学术界认识到软件开发领域的歧视具有多维性,并鼓励研究者在设计软件工程研究时,应选择并评估超越年龄与性别的相关维度。