3 papers
cs.SE2026
Rethinking Software Empirical Studies with Structural Causal Models
Daniel Rodriguez-Cardenas, Aya Garryyeva, David Nader Palacio +2
Causal Inference offers a fundamental approach for advancing empirical software engineering (ESE) beyond traditional statistical association, enabling researchers to rigorously ide…
cs.SE2026
Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures
Daniel Rodriguez-Cardenas, David Nader Palacio, Denys Poshyvanyk
Software engineering research has focused on automating maintenance and evolution processes to reduce costs and improve reliability. The emergence of foundation models (FMs) with s…
cs.SE2024
Perspective of Software Engineering Researchers on Machine Learning Practices Regarding Research, Review, and Education
Anamaria Mojica-Hanke, David Nader Palacio, Denys Poshyvanyk +2
Context: Machine Learning (ML) significantly impacts Software Engineering (SE), but studies mainly focus on practitioners, neglecting researchers. This overlooks practices and chal…