16 citations · 25 across the 22 of their papers we have counts for
28 papers
Replications, Revisions, and Reanalyses: Managing Empirical Evidence in Software Engineering
Julian Frattini, Jannik Fischbach, Davide Fucci +4
One aspired outcome of empirical research on quantitative data is a variance theory, i.e., a quantification of the effect of an independent on a dependent variables. The validity o…
Towards a Goal-Centric Assessment of Requirements Engineering Methods for Privacy by Design
Oleksandr Kosenkov, Ehsan Zabardast, Jannik Fischbach +2
Implementing privacy by design (PbD) according to the General Data Protection Regulation (GDPR) is met with a growing number of requirements engineering (RE) approaches. However, t…
Prompts as Software Engineering Artifacts: A Research Agenda and Preliminary Findings
Hugo Villamizar, Jannik Fischbach, Alexander Korn +2
Developers now routinely interact with large language models (LLMs) to support a range of software engineering (SE) tasks. This prominent role positions prompts as potential SE art…
On the Impact of Requirements Smells in Prompts: The Case of Automated Traceability
Andreas Vogelsang, Alexander Korn, Giovanna Broccia +3
Large language models (LLMs) are increasingly used to generate software artifacts, such as source code, tests, and trace links. Requirements play a central role in shaping the inpu…
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 -…
Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems
Oleksandr Kosenkov, Parisa Elahidoost, Tony Gorschek +5
Context: As the diversity and complexity of regulations affecting Software-Intensive Products and Services (SIPS) is increasing, software engineers need to address the growing regu…