Profile picture of Julian Frattini

Julian Frattini

Postdoctoral Researcher at the Chalmers University of Technology and Gothenburg University, Sweden

© 2025. All rights reserved.

Publications

This page contains the full list of peer-reviewed publications that I co-authored. Find an overview of larger-scale research initiatives and the subset of publications forming my thesis under the respective headers.

Journal Publications

  1. Frattini, J., Fucci, D., Torkar, R., Montgomery, L., Unterkalmsteiner, M., Fischbach, J., & Mendez, D. (2024). Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment. Empirical Software Engineering, 30(1), 29. DOI: 10.1007/s10664-024-10582-1
  2. Bauer, A., Frattini, J., & Alégroth, E. (2024). Augmented testing to support manual GUI-based regression testing: An empirical study. Empirical Software Engineering, 29(6), 140. DOI: 10.1007/s10664-024-10522-z.
  3. Frattini, J., Montgomery, L., Fucci, D., Unterkalmsteiner, M., Mendez, D., & Fischbach, J. (2024). Requirements quality research artifacts: Recovery, analysis, and management guideline. Journal of Systems and Software. DOI: 10.1016/j.jss.2024.112120.
  4. Fischbach, J., Frattini, J., Vogelsang, A., Mendez, D., Unterkalmsteiner, M., Wehrle, A., ... & Wiecher, C. (2023). Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study. Journal of Systems and Software, 197, 111549. DOI: 10.1016/j.jss.2022.111549.
  5. Frattini, J., Montgomery, L., Fischbach, J., Mendez, D., Fucci, D., & Unterkalmsteiner, M. (2023). Requirements quality research: a harmonized theory, evaluation, and roadmap. Requirements Engineering, 28(4), 507-520. DOI: 10.1007/s00766-023-00405-y.
  6. Frattini, J., Fucci, D., Mendez, D., Spinola, R., Mandić, V., Taušan, N., ... & Gonzalez-Huerta, J. (2023). An initial theory to understand and manage requirements engineering debt in practice. Information and Software Technology, 159, 107201. DOI: 10.1016/j.infsof.2023.107201.
  7. Zabardast, E., Frattini, J., Gonzalez-Huerta, J., Mendez, D., Gorschek, T., & Wnuk, K. (2022). Assets in Software Engineering: What are they after all?. Journal of Systems and Software, 193, 111485. DOI: 10.1016/j.jss.2022.111485.
  8. Frattini, J., Fischbach, J., Mendez, D., Unterkalmsteiner, M., Vogelsang, A., & Wnuk, K. (2023). Causality in requirements artifacts: prevalence, detection, and impact. Requirements Engineering, 28(1), 49-74. DOI: 10.1007/s00766-022-00371-x.

Books and Chapters

  1. Frattini, J., Unterkalmsteiner, M., Fucci, D., & Mendez, D. (2024). 13. NLP4RE Tools: Classification, Overview, and Management. To appear in Handbook of Natural Language Processing for Requirements Engineering. Cham: Springer International Publishing. DOI: 10.1007/978-3-031-73143-3_13.

Conference Publications

  1. Frattini, J., Fucci, D., and Vegas, S. (2024, October). Crossover Designs in Software Engineering Experiments: Review of the State of Analysis. In Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '24). Association for Computing Machinery, New York, NY, USA, 482-488. DOI: 10.1145/3674805.3690754.
  2. Frattini, J., Fischbach, J., Fucci, D., Unterkalmsteiner, M., & Mendez, D. (2024, June). Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes. In 2024 IEEE 32nd International Requirements Engineering Conference (RE). IEEE. DOI: 10.1109/RE59067.2024.00047.
  3. Frattini, J. (2024). Identifying relevant Factors of Requirements Quality: an industrial Case Study. In Requirements Engineering: Foundation for Software Quality: 30th International Working Conference, REFSQ 2024, Winterthur, Switzerland, April 8-11, 2024, Proceedings 30 (pp. 18-35). Springer International Publishing. DOI: 10.1007/978-3-031-57327-9_2.
  4. Frattini, J., Montgomery, L., Fischbach, J., Unterkalmsteiner, M., Mendez, D., & Fucci, D. (2022, August). A live extensible ontology of quality factors for textual requirements. In 2022 IEEE 30th International Requirements Engineering Conference (RE) (pp. 274-280). IEEE. DOI: 10.1109/RE54965.2022.00041.
  5. Fischbach, J., Frattini, J., Mendez, D., Unterkalmsteiner, M., Femmer, H., & Vogelsang, A. (2021). How do practitioners interpret conditionals in requirements?. In Product-Focused Software Process Improvement: 22nd International Conference, PROFES 2021, Turin, Italy, November 26, 2021, Proceedings 22 (pp. 85-102). Springer International Publishing. DOI: 10.1007/978-3-030-91452-3_6.
  6. Fischbach, J., Frattini, J., Spaans, A., Kummeth, M., Vogelsang, A., Mendez, D., & Unterkalmsteiner, M. (2021). Automatic detection of causality in requirement artifacts: the CiRA approach. In Requirements Engineering: Foundation for Software Quality: 27th International Working Conference, REFSQ 2021, Essen, Germany, April 12-15, 2021, Proceedings 27 (pp. 19-36). Springer International Publishing. DOI: 10.1007/978-3-030-73128-1_2.
  7. Frattini, J., Junker, M., Unterkalmsteiner, M., & Mendez, D. (2020, December). Automatic extraction of cause-effect-relations from requirements artifacts. In Proceedings of the 35th IEEE/ACM International conference on automated software engineering (pp. 561-572). DOI: 10.1145/3324884.3416549.

Workshop Publications

  1. Frattini, J., Fucci, D., Torkar, R. & Mendez, D. (2024). A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment. 1st International Workshop on Methodological Issues with Empirical Studies in Software Engineering (WSESE2024). DOI: 10.1145/3643664.3648211.
  2. Frattini, J., Fischbach, J., & Bauer, A. (2023, September). CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements. In 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW) (pp. 68-71). IEEE. DOI: 10.1109/REW57809.2023.00019.
  3. Fischbach, J., Adam, M., Dzhagatspanyan, V., Mendez, D., Frattini, J., Kosenkov, O., & Elahidoost, P. (2023, December). Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool. In 2023 IEEE International Conference on Big Data (BigData) (pp. 2823-2830). IEEE. DOI: 10.1109/BigData59044.2023.10386488.
  4. Frattini, J., Montgomery, L., Fucci, D., Fischbach, J., Unterkalmsteiner, M., & Mendez, D. (2023). Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts. In Joint of REFSQ-2023 Workshops, Doctoral Symposium, Posters and Tools Track and Journal Early Feedback, Barcelona, REFSQ-JP 2023, 17 April 2023 through 20 April 2023 (Vol. 3378). CEUR-WS. Pre-print: 2304.04670.
  5. Jadallah, N., Fischbach, J., Frattini, J., & Vogelsang, A. (2021, September). CATE: CAusality Tree Extractor from Natural Language Requirements. In 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) (pp. 77-79). IEEE. DOI: 10.1109/REW53955.2021.00018.
  6. Fischbach, J., Springer, T., Frattini, J., Femmer, H., Vogelsang, A., & Mendez, D. (2021, September). Fine-grained causality extraction from natural language requirements using recursive neural tensor networks. In 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) (pp. 60-69). IEEE. DOI: 10.1109/REW53955.2021.00016.
  7. Henao, P. R., Fischbach, J., Spies, D., Frattini, J., & Vogelsang, A. (2021, September). Transfer learning for mining feature requests and bug reports from tweets and app store reviews. In 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) (pp. 80-86). IEEE. DOI: 10.1109/REW53955.2021.00019.
  8. Fischbach, J., Frattini, J., & Vogelsang, A. (2021). CiRA: A tool for the automatic detection of causal relationships in requirements artifacts. In Joint Workshops of the 27th International Conference on Requirements Engineering, REFSQ 2021-OpenRE, Posters and Tools Track, and Doctoral Symposium, Essen, Germany, 12 April 2021 (Vol. 2857). CEUR-WS. DOI: 10.48550/arXiv.2103.06768.
  9. Frattini, J. (2020, September). CEREC: Causality Extraction from Requirements Artifacts. In 2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE) (pp. 79-82). IEEE. DOI: 10.1109/AIRE51212.2020.00018.

Transfer Publications

The following publications mainly serve knowledge transfer and did not undergo the typical peer-review process.

  1. Frattini, J., Montgomery, L., Fischbach, J., Mendez, D., Fucci, D., & Unterkalmsteiner, M. (2023). Requirements quality research: a harmonized theory, evaluation, and roadmap. Journal-First invitation to the 32nd International Requirements Engineering Conference (RE), 2024.
  2. Frattini, J., Fucci, D., Mendez, D., Spinola, R., Mandić, V., Taušan, N., ... & Gonzalez-Huerta, J. An initial theory to understand and manage requirements engineering debt in practice. Journal-First invitation to the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2023.
  3. Fischbach, J., Frattini, J., Vogelsang, A., Mendez, D., Unterkalmsteiner, M., Wehrle, A., ... & Wiecher, C. Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study. Journal-First invitation to 16th IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023.