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The field of software engineering is embedded in both engineering and computer science, and may embody gender biases endemic to both. This paper surveys software engineering's origins and its long-running attention to engineering…

Software Engineering · Computer Science 2025-08-29 Thomas J. Misa

Reproducing concurrency bugs is a complex task due to their unpredictable behavior. Researchers, regardless of gender, are contributing to automating this complex task to aid software developers. While some studies have investigated gender…

Software Engineering · Computer Science 2025-02-28 Tarannum Shaila Zaman , Macharla Hemanth Kishan , Lutfun Nahar Lota

Education motivated the encouragement of female participation in several areas of science and technology. Programming marathons have grown over the years and are events where programmers compete to solve coding challenges. However, despite…

Computers and Society · Computer Science 2025-02-21 Crishna Irion , Luiz Claudio Theodoro , Flavio de Oliveira Silva , Joao Henrique de Souza Pereira

In the international software engineering research community, the premier conference (ICSE) features since a decade a special track on the role of SE In Society (or SEIS track). In this work, we want to use the articles published in this…

Software Engineering · Computer Science 2025-05-26 Iffat Fatima , Patricia Lago

We report the results of a survey applied to students and professionals in the area of physics in Brazil, pursuing to draw a portrait of the composition of this community in terms of the social markers age, race, ethnicity, geographical…

Concerns about representation in computing within the U.S. have driven numerous activities to broaden participation. Assessment of the impact of these efforts and, indeed, a clear assessment of the actual "problem" being addressed are…

Computers and Society · Computer Science 2024-03-25 Valerie Barr , Carla E. Brodley , Manuel A. Pérez-Quiñones

Context. Software Engineering (SE) has low female representation due to gender bias that men are better at programming. Pair programming (PP) is common in industry and can increase student interest in SE, especially women; but if gender…

Software Engineering · Computer Science 2023-03-13 Amador Durán , Pablo Fernández , Beatriz Bernárdez , Nathaniel Weinman , Aslıhan Akalın , Armando Fox

Research software -- specialist software used to support or undertake research -- is of huge importance to researchers. It contributes to significant advances in the wider world and requires collaboration between people with diverse skills…

Software Engineering · Computer Science 2021-06-22 Neil P. Chue Hong , Jeremy Cohen , Caroline Jay

Background: Contemporary software development organizations lack diversity and the ratios of women in Free and open-source software (FOSS) communities are even lower than the industry average. Although the results of recent studies hint the…

Software Engineering · Computer Science 2023-02-07 Sayma Sultana , Amiangshu Bosu

The academic peer review system is under increasing pressure due to a growing volume of submissions and a limited pool of available reviewers, resulting in delayed decisions and an uneven distribution of reviewing responsibilities. Building…

Software Engineering · Computer Science 2025-08-08 Chakkrit Tantithamthavorn , Nicole Novielli , Ayushi Rastogi , Olga Baysal , Bram Adams

Context: Corporate education is a strategic investment in the software industry, but little is known about how different professional profiles perceive these initiatives. Objective: To investigate whether sociodemographic and professional…

Software Engineering · Computer Science 2026-04-09 Rodrigo Siqueira , Danilo Monteiro Ribeiro

Background: Research software is software developed by and/or used by researchers, across a wide variety of domains, to perform their research. Because of the complexity of research software, developers cannot conduct exhaustive testing. As…

Software Engineering · Computer Science 2021-10-29 Nasir U. Eisty , Jeffrey C. Carver

Background. Software Engineering (SE) researchers extensively perform experiments with human subjects. Well-defined samples are required to ensure external validity. Samples are selected \textit{purposely} or by \textit{convenience},…

Software Engineering · Computer Science 2021-08-30 Valentina Lenarduzzi , Oscar Dieste , Davide Fucci , Sira Vegas

Women in computing were among the first programmers in the early 20th century and were substantial contributors to the industry. Today, men dominate the software engineering industry. Research and data show that women are far less likely to…

Software Engineering · Computer Science 2024-05-08 Lina Boman , Jonatan Andersson , Francisco Gomes de Oliveira Neto

Context: Gender inequality is a widely discussed issue across various sectors, including Information Technology and Communication (ICT). In Brazil, women represent less than 18% of ICT students in higher education. Prior studies highlight…

Context: Software architecture intensely impacts the software quality. Therefore, the professional assigned to carry out the design, maintenance and evolution of architectures needs to have certain knowledge and skills in order not to…

Participation of women in Open Source Software (OSS) is very unbalanced, despite various efforts to improve diversity. This is concerning not only because women do not get the chance of career and skill developments afforded by OSS, but…

Software Engineering · Computer Science 2024-01-24 Bianca Trinkenreich , Igor Wiese , Anita Sarma , Marco Gerosa , Igor Steinmacher

Statistical and probabilistic reasoning enlightens our judgments about uncertainty and the chance or beliefs on the occurrence of random events in everyday life. Therefore, there are scientists working with Probability and Statistics in…

In this paper we study the implications for conference program committees of using single-blind reviewing, in which committee members are aware of the names and affiliations of paper authors, versus double-blind reviewing, in which this…

Digital Libraries · Computer Science 2017-10-10 Andrew Tomkins , Min Zhang , William D. Heavlin

Mainstream machine learning conferences have seen a dramatic increase in the number of participants, along with a growing range of perspectives, in recent years. Members of the machine learning community are likely to overhear allegations…

Machine Learning · Computer Science 2020-11-30 David Tran , Alex Valtchanov , Keshav Ganapathy , Raymond Feng , Eric Slud , Micah Goldblum , Tom Goldstein