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Jannik Fischbach
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2020 – today
- 2025
- [j7]Julian Frattini, Davide Fucci, Richard Torkar, Lloyd Montgomery, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez:
Applying bayesian data analysis for causal inference about requirements quality: a controlled experiment. Empir. Softw. Eng. 30(1): 29 (2025) - 2024
- [j6]Felix Viktor Jedrzejewski
, Lukas Thode
Adversarial Machine Learning in Industry: A Systematic Literature Review. Comput. Secur. 145: 103988 (2024) - [j5]Julian Frattini
Requirements quality research artifacts: Recovery, analysis, and management guideline. J. Syst. Softw. 216: 112120 (2024) - [j4]Carsten Wiecher
Model-based analysis and specification of functional requirements and tests for complex automotive systems. Syst. Eng. 27(4): 728-744 (2024) - [c24]Florian Angermeir
Towards Automated Continuous Security Compliance. ESEM 2024: 440-446 - [c23]Oleksandr Kosenkov, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach:
Regulatory Requirements Engineering in Large Enterprises: An Interview Study on the European Accessibility Act. PROFES 2024: 204-220 - [c22]Parisa Elahidoost, Daniel Méndez, Michael Unterkalmsteiner, Jannik Fischbach, Christian Feiler, Jonathan Streit:
Practices, Challenges, and Opportunities When Inferring Requirements From Regulations in the FinTech Sector - An Industrial Study. RE Workshops 2024: 137-145 - [c21]Oleksandr Kosenkov, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci, Tony Gorschek, Jannik Fischbach:
On Developing an Artifact-Based Approach to Regulatory Requirements Engineering. RE Workshops 2024: 262-271 - [c20]Julian Frattini, Jannik Fischbach, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez:
Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes. RE 2024: 398-406 - [c19]Parisa Elahidoost
Designing NLP-Based Solutions for Requirements Variability Management: Experiences from a Design Science Study at Visma. REFSQ 2024: 191-204 - [i30]Julian Frattini, Davide Fucci, Richard Torkar, Lloyd Montgomery, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez:
Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment. CoRR abs/2401.01154 (2024) - [i29]Parisa Elahidoost, Michael Unterkalmsteiner, Davide Fucci, Peter Liljenberg, Jannik Fischbach:
Designing NLP-based solutions for requirements variability management: experiences from a design science study at Visma. CoRR abs/2402.07145 (2024) - [i28]Andreas Vogelsang, Jannik Fischbach:
Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline. CoRR abs/2402.13823 (2024) - [i27]Oleksandr Kosenkov, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez, Davide Fucci, Tony Gorschek:
On Developing an Artifact-based Approach to Regulatory Requirements Engineering. CoRR abs/2405.00415 (2024) - [i26]Parisa Elahidoost, Daniel Méndez, Michael Unterkalmsteiner, Jannik Fischbach, Christian Feiler, Jonathan Streit:
Practices, Challenges, and Opportunities When Inferring Requirements From Regulations in the FinTech Sector - An Industrial Study. CoRR abs/2405.02867 (2024) - [i25]Julian Frattini, Jannik Fischbach, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez:
Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes. CoRR abs/2405.09895 (2024) - [i24]Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach:
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline. CoRR abs/2406.01055 (2024) - [i23]Florian Angermeir, Jannik Fischbach, Fabiola Moyón, Daniel Méndez:
Towards Automated Continuous Security Compliance. CoRR abs/2407.21494 (2024) - [i22]Oleksandr Kosenkov, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach:
Regulatory Requirements Engineering in Large Enterprises: An Interview Study on the European Accessibility Act. CoRR abs/2409.07313 (2024) - [i21]Oleksandr Kosenkov, Parisa Elahidoost, Tony Gorschek, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Davide Fucci, Rahul Mohanani:
Systematic Mapping Study on Requirements Engineering for Regulatory Compliance of Software Systems. CoRR abs/2411.01940 (2024) - 2023
- [j3]Jannik Fischbach
Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study. J. Syst. Softw. 197: 111549 (2023) - [j2]Julian Frattini
Causality in requirements artifacts: prevalence, detection, and impact. Requir. Eng. 28(1): 49-74 (2023) - [j1]Julian Frattini
Requirements quality research: a harmonized theory, evaluation, and roadmap. Requir. Eng. 28(4): 507-520 (2023) - [c18]Jannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost:
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool. IEEE Big Data 2023: 2823-2830 - [c17]Julian Frattini, Jannik Fischbach, Andreas Bauer:
CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements. REW 2023: 68-71 - [c16]Max Unterbusch, Mersedeh Sadeghi, Jannik Fischbach, Martin Obaidi, Andreas Vogelsang:
Explanation Needs in App Reviews: Taxonomy and Automated Detection. REW 2023: 102-111 - [c15]Julian Frattini, Lloyd Montgomery, Davide Fucci, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez:
Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts. REFSQ Workshops 2023 - [d9]Julian Frattini
Recovery of unavailable Requirements Quality Artifacts. Version v1.0. Zenodo, 2023 [all versions] - [d8]Julian Frattini
Recovery of unavailable Requirements Quality Artifacts. Version v1.1. Zenodo, 2023 [all versions] - [d7]Julian Frattini
Recovery of unavailable Requirements Quality Artifacts. Version v1.2. Zenodo, 2023 [all versions] - [d6]Julian Frattini
Recovery of unavailable Requirements Quality Artifacts. Version v1.3. Zenodo, 2023 [all versions] - [d5]Julian Frattini
Requirements Quality Theory: State-of-the-Art. Zenodo, 2023 - [i20]Julian Frattini, Lloyd Montgomery, Davide Fucci, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez:
Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts. CoRR abs/2304.04670 (2023) - [i19]Max Unterbusch, Mersedeh Sadeghi, Jannik Fischbach, Martin Obaidi, Andreas Vogelsang:
Explanation Needs in App Reviews: Taxonomy and Automated Detection. CoRR abs/2307.04367 (2023) - [i18]Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Daniel Méndez, Davide Fucci, Michael Unterkalmsteiner:
Requirements Quality Research: a harmonized Theory, Evaluation, and Roadmap. CoRR abs/2309.10355 (2023) - [i17]Julian Frattini, Jannik Fischbach, Andreas Bauer:
CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements. CoRR abs/2310.08234 (2023) - 2022
- [b1]Jannik Fischbach:
Why and How to Extract Conditional Statements From Natural Language Requirements. University of Cologne, Germany, 2022 - [c14]Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci:
A Live Extensible Ontology of Quality Factors for Textual Requirements. RE 2022: 274-280 - [e1]Jannik Fischbach, Nelly Condori-Fernández, Jörg Dörr, Marcela Ruiz, Jan-Philipp Steghöfer, Liliana Pasquale, Andrea Zisman, Renata S. S. Guizzardi, Jennifer Horkoff, Anna Perini, Angelo Susi, Maya Daneva, Andrea Herrmann, Kurt Schneider, Patrick Mennig, Fabiano Dalpiaz, Davide Dell'Anna, Sylwia Kopczynska, Lloyd Montgomery, Andy G. Darby, Peter Sawyer:
Joint Proceedings of REFSQ-2022 Workshops, Doctoral Symposium, and Posters & Tools Track co-located with the 28th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2022), Aston, Birmingham, UK, March 21, 2022. CEUR Workshop Proceedings 3122, CEUR-WS.org 2022 [contents] - [d4]Julian Frattini
Requirements Quality Factor Ontology. Version 1.0.0. Zenodo, 2022 [all versions] - [d3]Julian Frattini
Requirements Quality Factor Ontology. Version 1.0.1. Zenodo, 2022 [all versions] - [d2]Julian Frattini
Requirements Quality Factor Ontology. Version 1.0.2. Zenodo, 2022 [all versions] - [i16]Jannik Fischbach, Julian Frattini, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner, Andreas Wehrle, Pablo Restrepo Henao, Parisa Yousefi, Tedi Juricic, Jeannette Radduenz, Carsten Wiecher:
Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study. CoRR abs/2202.00932 (2022) - [i15]Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci:
A Live Extensible Ontology of Quality Factors for Textual Requirements. CoRR abs/2206.05959 (2022) - [i14]Carsten Wiecher, Constantin Mandel
Model-based Analysis and Specification of Functional Requirements and Tests for Complex Automotive Systems. CoRR abs/2209.01473 (2022) - [i13]Jannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost:
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool. CoRR abs/2212.06540 (2022) - 2021
- [c13]Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang:
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. BUCC@RANLP 2021: 40-45 - [c12]Carsten Wiecher, Jannik Fischbach, Joel Greenyer, Andreas Vogelsang
Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal. MoDELS 2021: 112-122 - [c11]Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang
How Do Practitioners Interpret Conditionals in Requirements? PROFES 2021: 85-102 - [c10]Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks. RE Workshops 2021: 60-69 - [c9]Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang
CATE: CAusality Tree Extractor from Natural Language Requirements. RE Workshops 2021: 77-79 - [c8]Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews. RE Workshops 2021: 80-86 - [c7]Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang
Automatic Detection of Causality in Requirement Artifacts: The CiRA Approach. REFSQ 2021: 19-36 - [c6]Jannik Fischbach, Julian Frattini, Andreas Vogelsang:
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts. REFSQ Workshops 2021 - [c5]Jannik Fischbach, Andreas Vogelsang
Specmate: Automated Creation of Test Cases from Acceptance Criteria. Software Engineering 2021: 37-38 - [d1]Jannik Fischbach
Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study. Zenodo, 2021 - [i12]Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner:
Automatic Detection of Causality in Requirement Artifacts: the CiRA Approach. CoRR abs/2101.10766 (2021) - [i11]Jannik Fischbach, Julian Frattini, Andreas Vogelsang:
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts. CoRR abs/2103.06768 (2021) - [i10]Carsten Wiecher, Jannik Fischbach, Joel Greenyer, Andreas Vogelsang, Carsten Wolff, Roman Dumitrescu:
Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal. CoRR abs/2107.05374 (2021) - [i9]Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang, Daniel Méndez:
Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks. CoRR abs/2107.09980 (2021) - [i8]Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang:
CATE: CAusality Tree Extractor from Natural Language Requirements. CoRR abs/2107.10023 (2021) - [i7]Pablo Restrepo Henao, Jannik Fischbach, Dominik Spies, Julian Frattini, Andreas Vogelsang:
Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews. CoRR abs/2108.00663 (2021) - [i6]Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang:
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. CoRR abs/2109.02050 (2021) - [i5]Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang:
How Do Practitioners Interpret Conditionals in Requirements? CoRR abs/2109.02063 (2021) - [i4]Julian Frattini, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Andreas Vogelsang, Krzysztof Wnuk:
Causality in Requirements Artifacts: Prevalence, Detection, and Impact. CoRR abs/2112.08265 (2021) - 2020
- [c4]Jannik Fischbach, Henning Femmer, Daniel Méndez
What Makes Agile Test Artifacts Useful?: An Activity-Based Quality Model from a Practitioners' Perspective. ESEM 2020: 41:1-41:10 - [c3]Jannik Fischbach
SPECMATE: Automated Creation of Test Cases from Acceptance Criteria. ICST 2020: 321-331 - [c2]Jannik Fischbach, Benedikt Hauptmann, Lukas Konwitschny, Dominik Spies, Andreas Vogelsang
Towards Causality Extraction from Requirements. RE 2020: 388-393 - [i3]Jannik Fischbach, Benedikt Hauptmann, Lukas Konwitschny, Dominik Spies, Andreas Vogelsang:
Towards Causality Extraction from Requirements. CoRR abs/2006.15871 (2020) - [i2]Jannik Fischbach, Henning Femmer, Daniel Méndez, Davide Fucci, Andreas Vogelsang:
What Makes Agile Test Artifacts Useful? An Activity-Based Quality Model from a Practitioners' Perspective. CoRR abs/2009.01722 (2020)
2010 – 2019
- 2019
- [c1]Jannik Fischbach, Maximilian Junker, Andreas Vogelsang
Automated Generation of Test Models from Semi-Structured Requirements. RE Workshops 2019: 263-269 - [i1]Jannik Fischbach, Maximilian Junker, Andreas Vogelsang, Dietmar Freudenstein:
Automated Generation of Test Models from Semi-Structured Requirements. CoRR abs/1908.08810 (2019)
Coauthor Index
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