20 citations · 121 across the 24 of their papers we have counts for
7 papers · 1 filter
Replications, Revisions, and Reanalyses: Managing Variance Theories in Software Engineering
Julian Frattini, Jannik Fischbach, Davide Fucci +2
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 -…
Crossover Designs in Software Engineering Experiments: Review of the State of Analysis
Julian Frattini, Davide Fucci, Sira Vegas
Experimentation is an essential method for causal inference in any empirical discipline. Crossover-design experiments are common in Software Engineering (SE) research. In these, su…
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline
Julian Frattini, Lloyd Montgomery, Davide Fucci +3
Requirements quality research, which is dedicated to assessing and improving the quality of requirements specifications, is dependent on research artifacts like data sets (containi…
Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes
Julian Frattini, Jannik Fischbach, Davide Fucci +2
Requirements engineering aims to fulfill a purpose, i.e., inform subsequent software development activities about stakeholders' needs and constraints that must be met by the system…
NLP4RE Tools: Classification, Overview, and Management
Julian Frattini, Michael Unterkalmsteiner, Davide Fucci +1
Tools constitute an essential contribution to natural language processing for requirements engineering (NLP4RE) research. They are executable instruments that make research usable…
A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment
Julian Frattini, Davide Fucci, Richard Torkar +1
The quality of requirements specifications may impact subsequent, dependent software engineering (SE) activities. However, empirical evidence of this impact remains scarce and too…
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…