Context . Empathy, a key social skill, is essential for communication and collaboration in SE but remains an under-researched topic. Aims . This study investigates empathy in SE from practitioners’ perspectives, aiming to characterize its meaning, identify barriers, discuss practices to overcome them, and explore its effects. Method . A qualitative content analysis was conducted on 55 web articles from DEV and Medium, two communities widely used by practitioners. To strengthen our findings, we conducted a follow-up survey with empathy experts. Results . The study proposes a definition of empathy in SE, identifies barriers such as toxic culture and excessive technical focus, practices to foster empathy in teams, and outcomes, including improved collaboration, communication, and reduced anxiety, frustration, and stress. These findings are synthesized into a conceptual framework. Conclusion . Survey results indicate the framework is clear, valuable, and raises empathy awareness, with suggestions for improvements and integration into training. This study paves the way for improving team dynamics by addressing barriers and offering strategies to cultivate empathy. Future work will explore empathy’s broader implications in SE practice.

This is the Replicated Computational Results (RCR) Report for our TOSEM article “Exploring Empathy in Software Engineering: Insights from a Gray Literature Analysis of Practitioners’ Perspectives” where we present qualitative content analysis conducted on 55 web articles from DEV and Medium, two communities widely used by practitioners, and a follow-up survey with empathy experts. In this article, we introduced a conceptual framework of empathy in software engineering. As part of this RCR, we provide an empirical package with detailed guidelines to set up and replicate our study, as well as to interpret the results. We hope it can motivate and support future research on empathy and human aspects in software engineering by offering a reusable and transparent example of qualitative analysis involving gray literature and expert feedback. All related data and materials are openly available in the experimental package.

Open Government Data (OGD) is a practice that has become widespread and has brought countless benefits to both government and citizens. The Open Government Partnership is a group formed by over 60 countries, all countries sharing the same purpose: A plan to define open data by following a list of requirements. However, the number of open datasets is still low and does not have the minimum level of quality and technique. The Open Data initiative still faces a large number of challenges to become reality. The goal of this study is to map and characterize the main barriers prevent OGD, exposing the mitigation forms found in literature papers, as well as identifying which sectors of public administration have a higher incidence of publication on OGD. In order this, it was realized a Systematic Literature Mapping (SLM), resulting in 85 relevant papers able to response 3 Research Questions. The SLM identified 6 main barriers: Public Engagement; Culture; Economic; Political and Technical, where it is highlighted Education, Health and Finances as public sector areas with Open Data major publication incidence. The Open Government Directive, a guidelines series, published in 2009 by Ex-President of United States of America, Barack Obama is the factor most quoted in literature as barrier mitigation way in OGD implementation.