Julian Frattini

57 papers A* 1A 4B 4Journal 36Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Towards a Software Reference Architecture for Natural Language Processing Tools in Requirements Engineering.
CoRR
Julian Frattini, Quim Motger
2025 — conf
AIRE 2025: 12th International Workshop on Artificial Intelligence and Requirements Engineering.
REW
Sepideh Ghanavati, Quim Motger, Julian Frattini
2025 A conf
Adopting Use Case Descriptions for Requirements Specification: an Industrial Case Study.
RE
Julian Frattini, Anja Frattini
2025 J jnl
Adopting Use Case Descriptions for Requirements Specification: an Industrial Case Study.
CoRR
Julian Frattini, Anja Frattini
2025 J jnl
Applying bayesian data analysis for causal inference about requirements quality: a controlled experiment.
Empir. Softw. Eng.
Julian Frattini, Davide Fucci, Richard Torkar, Lloyd Montgomery, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez
2025 — —
Good-Enough Requirements Engineering
Julian Frattini
2025 J jnl
How (Not) To Write a Software Engineering Abstract.
CoRR
Lutz Prechelt, Lloyd Montgomery, Julian Frattini, Franz Zieris
2025 J jnl
Tutorial Debriefing: Applied Statistical Causal Inference in Requirements Engineering.
CoRR
Julian Frattini, Hans-Martin Heyn, Robert Feldt, Richard Torkar
2024 — conf
A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment.
WSESE@ICSE
Julian Frattini, Davide Fucci, Richard Torkar, Daniel Méndez
2024 J jnl
A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment.
CoRR
Julian Frattini, Davide Fucci, Richard Torkar, Daniel Méndez
2024 — conf
AIRE 2024: 11th International Workshop on Artificial Intelligence and Requirements Engineering.
RE Workshops
Chetan Arora, Fatma Basak Aydemir, Julian Frattini
2024 J jnl
Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment.
CoRR
Julian Frattini, Davide Fucci, Richard Torkar, Lloyd Montgomery, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez
2024 J jnl
Augmented testing to support manual GUI-based regression testing: An empirical study.
Empir. Softw. Eng.
Andreas Bauer, Julian Frattini, Emil Alégroth
2024 A conf
Crossover Designs in Software Engineering Experiments: Review of the State of Analysis.
ESEM
Julian Frattini, Davide Fucci, Sira Vegas
2024 J jnl
Crossover Designs in Software Engineering Experiments: Review of the State of Analysis.
CoRR
Julian Frattini, Davide Fucci, Sira Vegas
2024 B conf
Identifying Relevant Factors of Requirements Quality: An Industrial Case Study.
REFSQ
Julian Frattini
2024 J jnl
Identifying relevant Factors of Requirements Quality: an industrial Case Study.
CoRR
Julian Frattini
2024 A conf
Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes.
RE
Julian Frattini, Jannik Fischbach, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez
2024 J jnl
Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes.
CoRR
Julian Frattini, Jannik Fischbach, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez
2024 J jnl
NLP4RE Tools: Classification, Overview, and Management.
CoRR
Julian Frattini, Michael Unterkalmsteiner, Davide Fucci, Daniel Méndez
2024 J jnl
Replications, Revisions, and Reanalyses: Managing Variance Theories in Software Engineering.
CoRR
Julian Frattini, Jannik Fischbach, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez
2024 J jnl
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline.
CoRR
Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach
2024 J jnl
Requirements quality research artifacts: Recovery, analysis, and management guideline.
J. Syst. Softw.
Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach
2024 — conf
Welcome to the Eighth International Workshop on Crowd-Based Requirements Engineering (CrowdRE'24).
RE Workshops
Julian Frattini, Gouri Ginde, Eduard C. Groen, Oliver Karras, Norbert Seyff
2023 J jnl
An initial theory to understand and manage requirements engineering debt in practice.
Inf. Softw. Technol.
Julian Frattini, Davide Fucci, Daniel Méndez, Rodrigo O. Spínola, Vladimir Mandic, Nebojsa Tausan, Muhammad Ovais Ahmad, Javier Gonzalez-Huerta
2023 B conf
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool.
IEEE Big Data
Jannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost
2023 J jnl
Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study.
J. Syst. Softw.
Jannik Fischbach, Julian Frattini, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner, Andreas Wehrle, Pablo Restrepo Henao, Parisa Yousefi, Tedi Juricic, Jeannette Radduenz, Carsten Wiecher
2023 J jnl
Automatic extraction of cause-effect-relations from requirements artifacts.
CoRR
Julian Frattini, Maximilian Junker, Michael Unterkalmsteiner, Daniel Méndez
2023 J jnl
Causality in requirements artifacts: prevalence, detection, and impact.
Requir. Eng.
Julian Frattini, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Andreas Vogelsang, Krzysztof Wnuk
2023 — conf
CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements.
REW
Julian Frattini, Jannik Fischbach, Andreas Bauer
2023 J jnl
CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements.
CoRR
Julian Frattini, Jannik Fischbach, Andreas Bauer
2023 — conf
Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts.
REFSQ Workshops
Julian Frattini, Lloyd Montgomery, Davide Fucci, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez
2023 J jnl
Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts.
CoRR
Julian Frattini, Lloyd Montgomery, Davide Fucci, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez
2023 J jnl
Requirements Quality Research: a harmonized Theory, Evaluation, and Roadmap.
CoRR
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Daniel Méndez, Davide Fucci, Michael Unterkalmsteiner
2023 J jnl
Requirements quality research: a harmonized theory, evaluation, and roadmap.
Requir. Eng.
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Daniel Méndez, Davide Fucci, Michael Unterkalmsteiner
2022 A conf
A Live Extensible Ontology of Quality Factors for Textual Requirements.
RE
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci
2022 J jnl
A Live Extensible Ontology of Quality Factors for Textual Requirements.
CoRR
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci
2022 J jnl
An initial Theory to Understand and Manage Requirements Engineering Debt in Practice.
CoRR
Julian Frattini, Davide Fucci, Daniel Méndez, Rodrigo O. Spínola, Vladimir Mandic, Nebojsa Tausan, Muhammad Ovais Ahmad, Javier Gonzalez-Huerta
2022 J jnl
Assets in Software Engineering: What are they after all?
J. Syst. Softw.
Ehsan Zabardast, Julian Frattini, Javier Gonzalez-Huerta, Daniel Méndez, Tony Gorschek, Krzysztof Wnuk
2022 J jnl
Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study.
CoRR
Jannik Fischbach, Julian Frattini, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner, Andreas Wehrle, Pablo Restrepo Henao, Parisa Yousefi, Tedi Juricic, Jeannette Radduenz, Carsten Wiecher
2022 J jnl
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool.
CoRR
Jannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost
2021 J jnl
Asset Management in Software Engineering - What is it after all?
CoRR
Ehsan Zabardast, Julian Frattini, Javier Gonzalez-Huerta, Daniel Méndez, Tony Gorschek
2021 B conf
Automatic Detection of Causality in Requirement Artifacts: The CiRA Approach.
REFSQ
Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner
2021 J jnl
Automatic Detection of Causality in Requirement Artifacts: the CiRA Approach.
CoRR
Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner
2021 — conf
CATE: CAusality Tree Extractor from Natural Language Requirements.
RE Workshops
Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang
2021 J jnl
CATE: CAusality Tree Extractor from Natural Language Requirements.
CoRR
Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang
2021 J jnl
Causality in Requirements Artifacts: Prevalence, Detection, and Impact.
CoRR
Julian Frattini, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Andreas Vogelsang, Krzysztof Wnuk
2021 — conf
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts.
REFSQ Workshops
Jannik Fischbach, Julian Frattini, Andreas Vogelsang
2021 J jnl
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts.
CoRR
Jannik Fischbach, Julian Frattini, Andreas Vogelsang
2021 — conf
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks.
RE Workshops
Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang, Daniel Méndez
2021 J jnl
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks.
CoRR
Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang, Daniel Méndez
2021 B conf
How Do Practitioners Interpret Conditionals in Requirements?
PROFES
Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang
2021 J jnl
How Do Practitioners Interpret Conditionals in Requirements?
CoRR
Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang
2021 — conf
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews.
RE Workshops
Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang
2021 J jnl
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews.
CoRR
Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang
2020 A* conf
Automatic Extraction of Cause-Effect-Relations from Requirements Artifacts.
ASE
Julian Frattini, Maximilian Junker, Michael Unterkalmsteiner, Daniel Méndez
2020 — conf
CEREC: Causality Extraction from Requirements Artifacts.
AIRE@RE
Julian Frattini