ICSE 2026
Sun 12 - Sat 18 April 2026 Rio de Janeiro, Brazil
Tue 14 Apr 2026 14:22 - 14:45 at Capri I - Session III (Talks)

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 Apr

Displayed time zone: Brasilia, Distrito Federal, Brazil change

14:00 - 15:30
Session III (Talks)Doctoral Symposium at Capri I
14:00
22m
Talk
A Methodological Framework for Intelligent Vulnerability Management in Microservice Architectures
Doctoral Symposium
Danelys Brito Gonzalez Universidad Técnica Federico Santa María
14:22
22m
Talk
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
22m
Talk
SE4AI: Structured AI/ML Enabled Software Development Process
Doctoral Symposium
Felipe Sonntag Manzoni Federal University of Amazonas - UFAM
15:07
22m
Talk
Toward Intelligent Feedback Systems in Programming Education: AI Tutors, Large Language Models, and Future Directions
Doctoral Symposium
Eduard Frankford University of Innsbruck