Julian Frattini

According to our database, Julian Frattini authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

NLP4RE Tools: Classification, Overview, and Management.

Julian Frattini, Michael Unterkalmsteiner, Davide Fucci, Daniel Méndez

CoRR, 2024

A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment.

Julian Frattini, Davide Fucci, Richard Torkar, Daniel Méndez

CoRR, 2024

Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment.

Julian Frattini, Davide Fucci, Richard Torkar, Lloyd Montgomery, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez

CoRR, 2024

Identifying Relevant Factors of Requirements Quality: An Industrial Case Study.

Julian Frattini

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2024

2023

Requirements quality research: a harmonized theory, evaluation, and roadmap.

Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Daniel Méndez, Davide Fucci, Michael Unterkalmsteiner

Requir. Eng., December, 2023

An initial theory to understand and manage requirements engineering debt in practice.

Julian Frattini, Davide Fucci, Daniel Méndez, Rodrigo O. Spínola, Vladimir Mandic, Nebojsa Tausan, Muhammad Ovais Ahmad, Javier Gonzalez-Huerta

Inf. Softw. Technol., July, 2023

Causality in requirements artifacts: prevalence, detection, and impact.

Julian Frattini, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Andreas Vogelsang, Krzysztof Wnuk

Requir. Eng., March, 2023

Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study.

Jannik Fischbach, Julian Frattini, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner, Andreas Wehrle, Pablo Restrepo Henao, Parisa Yousefi, Tedi Juricic, Jeannette Radduenz, Carsten Wiecher

J. Syst. Softw., 2023

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 Méndez

Proceedings of the Joint Proceedings of REFSQ-2023 Workshops, 2023

CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements.

Julian Frattini, Jannik Fischbach, Andreas Bauer

Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool.

Jannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Assets in Software Engineering: What are they after all?

Ehsan Zabardast, Julian Frattini, Javier Gonzalez-Huerta, Daniel Méndez, Tony Gorschek, Krzysztof Wnuk

J. Syst. Softw., 2022

A Live Extensible Ontology of Quality Factors for Textual Requirements.

Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci

Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

2021

Asset Management in Software Engineering - What is it after all?

Ehsan Zabardast, Julian Frattini, Javier Gonzalez-Huerta, Daniel Méndez, Tony Gorschek

CoRR, 2021

CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts.

Jannik Fischbach, Julian Frattini, Andreas Vogelsang

Proceedings of the Joint Proceedings of REFSQ 2021 Workshops, 2021

Automatic Detection of Causality in Requirement Artifacts: The CiRA Approach.

Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2021

CATE: CAusality Tree Extractor from Natural Language Requirements.

Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

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

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks.

Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang, Daniel Méndez

Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

How Do Practitioners Interpret Conditionals in Requirements?

Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang

Proceedings of the Product-Focused Software Process Improvement, 2021

2020

Automatic Extraction of Cause-Effect-Relations from Requirements Artifacts.

Julian Frattini, Maximilian Junker, Michael Unterkalmsteiner, Daniel Méndez

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

CEREC: Causality Extraction from Requirements Artifacts.

Julian Frattini

Proceedings of the 7th IEEE International Workshop on Artificial Intelligence for Requirements Engineering, 2020