| 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 | 39 | 2021 |
| 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 | 36 | 2023 |
| 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 | 36 | 2021 |
| 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 | 20 | 2022 |
| 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 | 16 | 2022 |
| 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 | 15 | 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 | 12 | 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 | 12 | 2020 |
| 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 | 11 | 2023 |
| Causality in requirements artifacts: prevalence, detection, and impact J Frattini, J Fischbach, D Mendez, M Unterkalmsteiner, A Vogelsang, ... Requirements Engineering, 1-26, 2022 | 11 | 2022 |
| 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 | 11 | 2021 |
| 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 | 10 | 2023 |
| 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 | 7 | 2021 |
| 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 | 7* | |
| 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 Proceedings of the 1st IEEE/ACM International Workshop on Methodological …, 2024 | 6 | 2024 |
| 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 | 5 | 2023 |
| Identifying relevant Factors of Requirements Quality: an industrial Case Study J Frattini International Working Conference on Requirements Engineering: Foundation for …, 2024 | 3 | 2024 |
| NLP4RE Tools: Classification, Overview, and Management J Frattini, M Unterkalmsteiner, D Fucci, D Mendez arXiv preprint arXiv:2403.06685, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| Applying bayesian data analysis for causal inference about requirements quality: a controlled experiment J Frattini, D Fucci, R Torkar, L Montgomery, M Unterkalmsteiner, ... Empirical Software Engineering 30 (1), 29, 2025 | 2 | 2025 |
Daniel MendezFull Professor at Blekinge Institute of Technology and fortiss GmbHبريد إلكتروني تم التحقق منه على bth.se
