| 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 | 18 | 2021 |
| 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 | 16 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 2023 |
| 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 | 5 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2021 |
| 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, 111485, 2022 | 3* | 2022 |
| 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 | 2 | 2021 |
| Towards good-enough Requirements Engineering: a theoretical Foundation for Requirements Quality J Frattini Blekinge Tekniska Högskola, 2023 | | 2023 |
| 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, ... arXiv preprint arXiv:2212.06540, 2022 | | 2022 |
| 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 | | 2022 |
| Causality in requirements artifacts: prevalence, detection, and impact J Frattini, J Fischbach, D Mendez, M Unterkalmsteiner, A Vogelsang, ... Requirements Engineering, 1-26, 2022 | | 2022 |
| Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews P Restrepo Henao, J Fischbach, D Spies, J Frattini, A Vogelsang arXiv e-prints, arXiv: 2108.00663, 2021 | | 2021 |
| CEREC: Causality Extraction from Requirements Artifacts J Frattini 2020 IEEE Seventh International Workshop on Artificial Intelligence for …, 2020 | | 2020 |
| 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 | | |
Jannik FischbachConsultant at Netlight and Postdoc at fortissVerified email at netlight.com
