Software capstone projects are successful when students achieve meaningful learning outcomes and clients obtain valuable results. For more than a decade, we have delivered a capstone course involving diverse external clients and domains, producing mostly successful projects; however, some initiatives have still fallen short. This study seeks to identify factors that foster or hinder project success in order to support instructors in structuring course dynamics and selecting appropriate projects and clients. We analyzed 18 software projects from the Spring 2024 term. At course completion, surveys were administered to both clients and student teams to evaluate technical competence, domain knowledge, time commitment, and collaborative attitude of each other. Five months later, follow-up semi-structured interviews with clients explored product value and retrospective perceptions. Survey and interview data were then cross-analyzed. Most projects were rated as successful across survey dimensions, with both groups highlighting commitment as a central factor. In less successful cases, students pointed to low client involvement or limited domain knowledge as key obstacles. At interview time, nearly all products were in use, although most required additional refinement. Even clients from less favorably rated projects generally expressed willingness to participate again, emphasizing students’ technical quality and hiring potential. Maximizing capstone success requires selecting clients who propose well-scoped, engaging projects and who understand the need for adaptive collaboration. Providing students with access to domain experts and end-users further strengthens alignment with business needs, improving both learning outcomes and practical value for clients.

Thu 14 May

Displayed time zone: Eastern Time (US & Canada) change

16:00 - 17:30
4b Education, Human & Social Aspects in SECIbSE 2026 (Main Track) at Edificio 3, Aula 403
Chair(s): Victoria Torres Universitat Politecnica de Valencia
16:00
15m
Paper
Understanding Education and Professional Practice of UML: Insights from Brazil and Portugal (JOURNAL FIRST)
CIbSE 2026 (Main Track)
Edson OliveiraJr State University of Maringá, Edna Dias Canedo University of Brasilia (UnB), Isabel Sofia Sousa Brito Instituto Politécnico de Beja
16:15
15m
Paper
Towards a methodology for ethical artificial intelligence system development: A necessary trustworthiness taxonomy (JOURNAL FIRST)
CIbSE 2026 (Main Track)
Carlos Mario Braga Ortuño Universidad de Castilla-La Mancha, Manuel Serrano University of Castilla-La Mancha, Eduardo Fernandez-Medina Universidad de Castilla La Mancha
16:30
30m
Full-paper
Teaching Practically Relevant Research Problem Formulation in Software Engineering with Lean Research Inception
CIbSE 2026 (Main Track)
Anrafel Fernandes Pereira Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and University of Vassouras (Univassouras), Tatiane Ornelas Martins Alves Department of Informatics - Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Allysson Allex Araújo Federal University of Cariri, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
Pre-print
17:00
30m
Full-paper
Promoting Successful Projects in a Software Engineering Capstone Course
CIbSE 2026 (Main Track)
Cecilia Bastarrica Universidad de Chile, Chile, Cristian Salazar Universidad de Chile