Related papers: Enhancing Women's Experiences in Software Engineering

Enhancing Women's Experiences in Software Engineering

URL: http://arxiv.org/abs/2505.03866v1
Date: Tue, 06 May 2025 16:59:41 GMT
Title: Enhancing Women's Experiences in Software Engineering
Authors: Júlia Rocha Fortunato, Luana Ribeiro Soares, Gabriela Silva Alves, Edna Dias Canedo, Fabiana Freitas Mendes,
Abstract summary: This study explores the challenges that women face across three different life stages.<n>High school women's challenges are more often directed toward convincing their parents that they are mature enough to handle their responsibilities.<n>As they progress, the emphasis shifts to proving their competence in managing responsibilities.
Score: 0.6164343941814834
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Context: Women face many challenges in their lives, which affect their daily experiences and influence major life decisions, starting before they enroll in bachelor's programs, setting a difficult path for those aspiring to enter the software development industry. Goal: To explore the challenges that women face across three different life stages, beginning as high school students, continuing as university undergraduates, and extending into their professional lives, as well as potential solutions to address these challenges. Research Method: We conducted a literature review followed by workshops to understand the perspectives of high school women, undergraduates, and practitioners regarding the same set of challenges and solutions identified in the literature. Results: Regardless of the life stage, women feel discouraged in a toxic environment often characterized by a lack of inclusion, harassment, and the exhausting need to prove themselves. We also discovered that some challenges are specific to certain life stages; for example, issues related to maternity were mentioned only by practitioners. Conclusions: Gender-related challenges arise before women enter the software development field when the proportion of men and women is still similar. While the need to prove themselves is mentioned at all three stages, high school women's challenges are more often directed toward convincing their parents that they are mature enough to handle their responsibilities. As they progress, the emphasis shifts to proving their competence in managing responsibilities for which they have received training. Increasing the inclusion of women in the field should, therefore, start earlier, and profound societal changes may be necessary to boost women's participation.

Related papers

Factors Influencing Gender Representation in IT Faculty Programmes: Insights with a Focus on Software Engineering in a Nordic Context [0.0]
Software engineering remains male-dominated despite efforts to attract and retain women.<n>Family and personal interest are among the main factors motivating women to choose an IT programme.<n>Women perceive more challenges following their chosen career path than men.
arXiv Detail & Related papers (2025-04-11T20:25:52Z)
The VoxCeleb Speaker Recognition Challenge: A Retrospective [75.40776645175585]
The VoxCeleb Speaker Recognition Challenges (VoxSRC) were a series of challenges and workshops that ran annually from 2019 to 2023. The challenges primarily evaluated the tasks of speaker recognition and diarisation under various settings. We provide a review of these challenges that covers: what they explored; the methods developed by the challenge participants and how these evolved.
arXiv Detail & Related papers (2024-08-27T08:57:31Z)
Perceptions of Entrepreneurship Among Graduate Students: Challenges, Opportunities, and Cultural Biases [0.0]
The paper focuses on the perceptions of entrepreneurship of graduate students enrolled in a digital-oriented entrepreneurship course. The main issues raised by the students were internal traits and external obstacles, such as lack of resources and support. Gender discrimination and cultural biases persist, limiting opportunities and equality for women.
arXiv Detail & Related papers (2024-05-10T08:35:18Z)
Breaking Barriers: Investigating the Sense of Belonging Among Women and Non-Binary Students in Software Engineering [1.9075820340282934]
Women are far less likely to pursue a career in the software engineering industry. Reasons for women and other underrepresented minorities to leave the industry are a lack of opportunities for growth and advancement. This research explores how the potential to cultivate or uphold an industry unfavourable to women and non-binary individuals in software engineering education.
arXiv Detail & Related papers (2024-05-06T20:07:45Z)
Paths to Testing: Why Women Enter and Remain in Software Testing? [0.8602553195689511]
This study investigates the motivations behind women choosing careers in software testing. The findings reveal that women enter software testing due to increased entry-level job opportunities, work-life balance, and even fewer gender stereotypes. However, inclusiveness and career development in the field need improvement for sustained diversity.
arXiv Detail & Related papers (2024-04-20T20:43:29Z)
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges [60.62904929065257]
Large language models (LLMs) offer possibility for resolving this issue by comprehending individual requests. This paper reviews the recently emerged LLM research related to educational capabilities, including mathematics, writing, programming, reasoning, and knowledge-based question answering.
arXiv Detail & Related papers (2023-12-27T14:37:32Z)
Navigating the Path of Women in Software Engineering: From Academia to Industry [2.2732417897161934]
We focus on Brazilian women to extend existing research, which has largely focused on North American and European contexts. Our findings highlight persistent challenges faced by women in software engineering, including gender bias, harassment, work-life imbalance, undervaluation, low sense of belonging, and impostor syndrome.
arXiv Detail & Related papers (2023-12-08T02:58:26Z)
Academic competitions [61.592427413342975]
This chapter provides a survey of academic challenges in the context of machine learning and related fields. We review the most influential competitions in the last few years and analyze challenges per area of knowledge. The aims of scientific challenges, their goals, major achievements and expectations for the next few years are reviewed.
arXiv Detail & Related papers (2023-12-01T01:01:04Z)
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning [58.107474025048866]
Forgetting refers to the loss or deterioration of previously acquired knowledge. Forgetting is a prevalent phenomenon observed in various other research domains within deep learning.
arXiv Detail & Related papers (2023-07-16T16:27:58Z)
"STILL AROUND": Experiences and Survival Strategies of Veteran Women Software Developers [53.5211430148752]
We conducted 14 interviews to examine the experiences of people at the intersection of ageism and sexism. We identified 283 codes, which fell into three main categories: Strategies, Experiences, and Perception. Several strategies we identified, such as (Deliberately) Not Trying to Look Younger, were not previously described in the software engineering literature.
arXiv Detail & Related papers (2023-02-07T19:26:15Z)
Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation [64.65911758042914]
We investigate how seniority impacts the degree of gender bias exhibited in pretrained neural generation models. Our results show that GPT-2 amplifies bias by considering women as junior and men as senior more often than the ground truth in both domains. These results suggest that NLP applications built using GPT-2 may harm women in professional capacities.
arXiv Detail & Related papers (2022-05-19T20:05:02Z)

This list is automatically generated from the titles and abstracts of the papers in this site.