It is Giving Major Satisfaction: Why Fairness Matters for Developers
<|reference_start|>It is Giving Major Satisfaction: Why Fairness Matters for Developers: Software practitioners often face unfairness in their work, such as unequal recognition of contributions, gender bias, and unclear criteria for performance reviews. While the link between fairness and job satisfaction has been established in other fields, its relevance to software professionals remains underexplored. This study aims to examine how fairness perceptions relate to job satisfaction among software practitioners, focusing on both general trends and demographic-specific differences. We conducted an online survey of 108 software practitioners, followed by ordinal logistic regression to analyze the relationship between fairness perceptions and job satisfaction in software engineering contexts, with moderation analysis examining how this relationship varies across demographic groups.   Our findings indicate that all four fairness dimensions, distributive, procedural, interpersonal, and informational, significantly affect both overall job satisfaction and satisfaction with job security. Among these, interpersonal fairness has the biggest impact, being more than twice as influential on overall job satisfaction. The relationship between fairness perceptions and job satisfaction is notably stronger for female, ethnically underrepresented, less experienced practitioners, and those with work limitations. Fairness in authorship emerged as an important factor for job satisfaction collectively, while fairness in policy implementation, high-demand situations, and working hours particularly impacted specific demographic groups. This study highlights the unique role of fairness in software engineering, offering strategies for organizations to promote fair practices and targeted approaches specific for certain demographic groups.<|reference_end|>
@article{sesari2024it,
    title={It is Giving Major Satisfaction: Why Fairness Matters for Developers},
    author={Emeralda Sesari, Federica Sarro, Ayushi Rastogi},
    journal={arXiv preprint arXiv:2410.02482},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.02482},
    primaryClass={cs.SE}
}