Power Relationships Effects on Social Sustainability Goals in Software Ecosystems
Software ecosystems (SECO) comprise multiple actors collaborating around a common technological platform, typically governed by a keystone organization. Power relationships define how decisions are made, who holds influence, and how value is shared. When power becomes concentrated, it can undermine social sustainability goals such as fairness, inclusion, and trust. Despite its importance, this topic remains underexplored in software engineering, particularly in applied research. This study investigates how power relationships affect social sustainability in SECO and proposes PReSS-SECO (Power Relationship Effects on Social Sustainability in Software Ecosystems), a framework to diagnose and mitigate power imbalances. This framework includes a conceptual model, a diagnostic tool, and a feedback mechanism for governance improvement. These artifacts will be developed and evaluated through Design Science Research (DSR), based on literature reviews, a participatory case study, focus groups with experts, and validation por evaluation. The research aims to offer information technology (IT) managers a practical means to assess and address power asymmetries, fostering more inclusive and sustainable SECO governance.
Tue 14 AprDisplayed time zone: Brasilia, Distrito Federal, Brazil change
14:00 - 15:30 | |||
14:00 22mTalk | A Methodological Framework for Intelligent Vulnerability Management in Microservice Architectures Doctoral Symposium Danelys Brito Gonzalez Universidad Técnica Federico Santa María | ||
14:22 22mTalk | Power Relationships Effects on Social Sustainability Goals in Software Ecosystems Doctoral Symposium Juliana Outão UNIRIO - Universidade Federal do Estado do Rio de Janeiro | ||
14:45 22mTalk | SE4AI: Structured AI/ML Enabled Software Development Process Doctoral Symposium Felipe Sonntag Manzoni Federal University of Amazonas - UFAM | ||
15:07 22mTalk | Toward Intelligent Feedback Systems in Programming Education: AI Tutors, Large Language Models, and Future Directions Doctoral Symposium Eduard Frankford University of Innsbruck | ||