5 papers
Towards Improving the External Validity of Software Engineering Experiments with Transportability Methods
Julian Frattini, Richard Torkar, Robert Feldt +1
Controlled experiments are a core research method in software engineering (SE) for validating causal claims. However, recruiting a sample of participants that represents the intend…
Mitigating Omitted Variable Bias in Empirical Software Engineering
Carlo A. Furia, Richard Torkar
Omitted variable bias occurs when a statistical model leaves out variables that are relevant determinants of the effects under study. This results in the model attributing the miss…
Tutorial Debriefing: Applied Statistical Causal Inference in Requirements Engineering
Julian Frattini, Hans-Martin Heyn, Robert Feldt +1
As any scientific discipline, the software engineering (SE) research community strives to contribute to the betterment of the target population of our research: software producers…
Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Controlled Experiment
Julian Frattini, Davide Fucci, Richard Torkar +4
It is commonly accepted that the quality of requirements specifications impacts subsequent software engineering activities. However, we still lack empirical evidence to support org…
Governing the Commons: Code Ownership and Code-Clones in Large-Scale Software Development
Anders Sundelin, Javier Gonzalez-Huerta, Richard Torkar +1
Context: In software development organizations employing weak or collective ownership, different teams are allowed and expected to autonomously perform changes in various component…