FSE2025 replication package-20240913T100351Z-001.zip

Research in non-computing fields has shown systemic biases affecting opportunities and treatment based on demographic factors, but the connection between computing professionals' demographic characteristics, vulnerability to biases, and responses remains underexplored. Additionally, understanding the viewpoints of biased software developers is essential for targeted interventions, yet such investigations within the computing profession are lacking.To fill in these research gaps, this study focuses on four dimensions of biases: bias in career development, bias in task selection, unwanted attention, and identity attacks. Through a vignette-based survey study, we aimed to determine the frequency of these biases, understand the association between demographic factors and being victims, explore the consequences of biases, and uncover the motivations behind biased behaviors. Our findings suggest that bias in career development and task selection are the two most prevalent among the four dimensions examined. More than two-thirds of the victims encounter biases multiple times. Demographic factors such as age, years of development experience, project experience, race, and location, in addition to gender, influence the likelihood of being a bias victim. Women are more than three times more likely than men to become victims of a bias. Additionally, workplace culture, along with stereotypical beliefs about women, often influences individuals to make biased decisions.