166 citations · 177 across the 9 of their papers we have counts for
11 papers
Information is all you need: Requirements Engineering Quality Reframed
Henning Femmer, Julian Frattini
To move beyond this vague appeal to context, this vision proposes a novel holistic theory of requirements engineering (RE) quality. This theory models how information particles, i.…
The Software Engineering Simulations Lab: Agentic AI for RE Quality Simulations
Henning Femmer, Ivan Esau
Context and motivation. Requirements Engineering (RE) quality still lacks empirical evidence on how specific requirement defects affect downstream activities. Problem: However, emp…
Description and Comparative Analysis of QuRE: A New Industrial Requirements Quality Dataset
Henning Femmer, Frank Houdek, Max Unterbusch +1
Requirements quality is central to successful software and systems engineering. Empirical research on quality defects in natural language requirements relies heavily on datasets, i…
Which Requirements Artifact Quality Defects are Automatically Detectable? A Case Study
Henning Femmer, Michael Unterkalmsteiner, Tony Gorschek
[Context] The quality of requirements engineering artifacts, e.g. requirements specifications, is acknowledged to be an important success factor for projects. Therefore, many compa…
How Do Practitioners Interpret Conditionals in Requirements?
Jannik Fischbach, Julian Frattini, Daniel Mendez +3
Context: Conditional statements like "If A and B then C" are core elements for describing software requirements. However, there are many ways to express such conditionals in natura…
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks
Jannik Fischbach, Tobias Springer, Julian Frattini +3
[Context:] Causal relations (e.g., If A, then B) are prevalent in functional requirements. For various applications of AI4RE, e.g., the automatic derivation of suitable test cases…