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Julian Frattini
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Automatic detection of causality in requirement artifacts: the cira approach
J Fischbach, J Frattini, A Spaans, M Kummeth, A Vogelsang, D Mendez, ...
Requirements Engineering: Foundation for Software Quality: 27th …, 2021
312021
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews
PR Henao, J Fischbach, D Spies, J Frattini, A Vogelsang
2021 IEEE 29th International Requirements Engineering Conference Workshops …, 2021
272021
Automatic creation of acceptance tests by extracting conditionals from requirements: Nlp approach and case study
J Fischbach, J Frattini, A Vogelsang, D Mendez, M Unterkalmsteiner, ...
Journal of Systems and Software 197, 111549, 2023
182023
How do practitioners interpret conditionals in requirements?
J Fischbach, J Frattini, D Mendez, M Unterkalmsteiner, H Femmer, ...
Product-Focused Software Process Improvement: 22nd International Conference …, 2021
112021
Automatic extraction of cause-effect-relations from requirements artifacts
J Frattini, M Junker, M Unterkalmsteiner, D Mendez
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
112020
Assets in Software Engineering: What are they after all?
E Zabardast, J Frattini, J Gonzalez-Huerta, D Mendez, T Gorschek, ...
Journal of Systems and Software 193, 111485, 2022
102022
A Live Extensible Ontology of Quality Factors for Textual Requirements
J Frattini, L Montgomery, J Fischbach, M Unterkalmsteiner, D Mendez, ...
arXiv preprint arXiv:2206.05959, 2022
102022
Fine-grained causality extraction from natural language requirements using recursive neural tensor networks
J Fischbach, T Springer, J Frattini, H Femmer, A Vogelsang, D Mendez
2021 IEEE 29th International Requirements Engineering Conference Workshops …, 2021
102021
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts
J Fischbach, J Frattini, A Vogelsang
arXiv preprint arXiv:2103.06768, 2021
102021
Causality in requirements artifacts: prevalence, detection, and impact
J Frattini, J Fischbach, D Mendez, M Unterkalmsteiner, A Vogelsang, ...
Requirements Engineering, 1-26, 2022
72022
CATE: CAusality Tree Extractor from Natural Language Requirements
N Jadallah, J Fischbach, J Frattini, A Vogelsang
2021 IEEE 29th International Requirements Engineering Conference Workshops …, 2021
52021
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool
J Fischbach, M Adam, V Dzhagatspanyan, D Mendez, J Frattini, ...
2023 IEEE International Conference on Big Data (BigData), 2823-2830, 2023
22023
Requirements quality research: a harmonized theory, evaluation, and roadmap
J Frattini, L Montgomery, J Fischbach, D Mendez, D Fucci, ...
Requirements Engineering 28 (4), 507-520, 2023
22023
Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts
J Frattini, L Montgomery, D Fucci, J Fischbach, M Unterkalmsteiner, ...
arXiv preprint arXiv:2304.04670, 2023
22023
An Initial Theory to Understand and Manage Requirements Engineering Debt in Practice
J Frattini, D Fucci, D Mendez, R Spinola, V Mandić, N Taušan, MO Ahmad, ...
Available at SSRN 4252130, 0
2*
CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements
J Frattini, J Fischbach, A Bauer
2023 IEEE 31st International Requirements Engineering Conference Workshops …, 2023
12023
NLP4RE Tools: Classification, Overview, and Management
J Frattini, M Unterkalmsteiner, D Fucci, D Mendez
arXiv preprint arXiv:2403.06685, 2024
2024
A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment
J Frattini, D Fucci, R Torkar, D Mendez
arXiv preprint arXiv:2402.10800, 2024
2024
Identifying relevant Factors of Requirements Quality: an industrial Case Study
J Frattini
arXiv preprint arXiv:2402.00594, 2024
2024
Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment
J Frattini, D Fucci, R Torkar, L Montgomery, M Unterkalmsteiner, ...
arXiv preprint arXiv:2401.01154, 2024
2024
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