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Causal Models in Requirement Specifications for Machine Learning: A vision
HM Heyn, Y Mao, R Weiss, E Knauss - arxiv preprint arxiv:2502.11629, 2025 - arxiv.org
Specifying data requirements for machine learning (ML) software systems remains a
challenge in requirements engineering (RE). This vision paper explores causal modelling as …
challenge in requirements engineering (RE). This vision paper explores causal modelling as …
Replications, Revisions, and Reanalyses: Managing Variance Theories in Software Engineering
Variance theories quantify the variance that one or more independent variables cause in a
dependent variable. In software engineering (SE), variance theories are used to quantify …
dependent variable. In software engineering (SE), variance theories are used to quantify …
[HTML][HTML] Good-Enough Requirements Engineering
J Frattini - 2025 - diva-portal.org
Background: High-quality requirements are considered crucial for successful software
development endeavors as the requirements' purpose is to inform subsequent activities like …
development endeavors as the requirements' purpose is to inform subsequent activities like …