| 2026 | REFSQ | Towards a Software Reference Architecture for Natural Language Processing Tools in Requirements Engineering. | Julian Frattini, Quim Motger |
| 2025 | RE | Adopting Use Case Descriptions for Requirements Specification: an Industrial Case Study. | Julian Frattini, Anja Frattini |
| 2025 | RE | AIRE 2025: 12th International Workshop on Artificial Intelligence and Requirements Engineering. | Sepideh Ghanavati, Quim Motger, Julian Frattini |
| 2024 | ESEM | Crossover Designs in Software Engineering Experiments: Review of the State of Analysis. | Julian Frattini, Davide Fucci, Sira Vegas |
| 2024 | RE | AIRE 2024: 11th International Workshop on Artificial Intelligence and Requirements Engineering. | Chetan Arora, Fatma Basak Aydemir, Julian Frattini |
| 2024 | RE | Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes. | Julian Frattini, Jannik Fischbach, Davide Fucci, Michael Unterkalmsteiner, Daniel Mndez |
| 2024 | RE | Welcome to the Eighth International Workshop on Crowd-Based Requirements Engineering (CrowdRE'24). | Julian Frattini, Gouri Ginde, Eduard C. Groen, Oliver Karras, Norbert Seyff |
| 2024 | REFSQ | Identifying Relevant Factors of Requirements Quality: An Industrial Case Study. | Julian Frattini |
| 2023 | RE | CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements. | Julian Frattini, Jannik Fischbach, Andreas Bauer |
| 2023 | REFSQ | Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts. | Julian Frattini, Lloyd Montgomery, Davide Fucci, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Mndez |
| 2022 | RE | A Live Extensible Ontology of Quality Factors for Textual Requirements. | Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Mndez, Davide Fucci |
| 2021 | PROFES | How Do Practitioners Interpret Conditionals in Requirements? | Jannik Fischbach, Julian Frattini, Daniel Mndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang |
| 2021 | RE | Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks. | Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang, Daniel Mndez |
| 2021 | RE | Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews. | Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang |
| 2021 | RE | CATE: CAusality Tree Extractor from Natural Language Requirements. | Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang |
| 2021 | REFSQ | Automatic Detection of Causality in Requirement Artifacts: The CiRA Approach. | Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang, Daniel Mndez, Michael Unterkalmsteiner |
| 2021 | REFSQ | CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts. | Jannik Fischbach, Julian Frattini, Andreas Vogelsang |