一句话：系统梳理软件工程中神经多样性女性在认知、社会、组织、结构与职业发展方面的挑战，并提出融合InclusiveMag与GenderMag的混合方法。
本文关注软件工程中神经多样性女性在性别偏见与神经差异交叉处面临的独特挑战。尽管职场神经多样性日益受重视，SE研究尚无系统考察该群体的工作。作者提出一种混合方法，将InclusiveMag的包容性框架与GenderMag走查过程结合，并针对SE中神经多样性女性的情境进行定制。研究设计分三阶段：文献综述界定范围、推导人物角色与分析流程、在协作工作坊中应用该方法。当前阶段给出针对性文献综述，将挑战归纳为认知、社会、组织、结构和职业发展五类，并指出漏诊/晚诊与masking如何加剧排斥。这些发现为后续开发和应用包容性分析方法、推动可操作变革奠定基础。
Neurodivergent women in Software Engineering encounter distinctive challenges at the intersection of gender bias and neurological differences. To the best of our knowledge, no prior work in SE research has systematically examined this group, despite increasing recognition of neurodiversity in the workplace. Underdiagnosis, masking, and male-centric workplace cultures continue to exacerbate barriers that contribute to stress, burnout, and attrition. In response, we propose a hybrid methodological approach that integrates InclusiveMag’s inclusivity framework with the GenderMag walkthrough process, tailored to the context of neurodivergent women in SE. The overarching design unfolds across three stages, scoping through literature review, deriving personas and analytic processes, and applying the method in collaborative workshops. We present a targeted literature review that synthesize challenges into cognitive, social, organizational, structural and career progression challenges neurodivergent women face in SE, including how under/late diagnosis and masking intensify exclusion. These findings lay the groundwork for subsequent stages that will develop and apply inclusive analytic methods to support actionable change.
@inproceedings{paperbot12033,
title = {Invisible Load: Uncovering the Challenges of Neurodivergent Women in Software Engineering},
author = {Munazza Zaib and Wei Wang and Dulaji Hidellaarachchi and Isma Farah Siddiqui},
booktitle = {ICSE},
year = {2026},
doi = {10.1145/3786581.3786927}
}