Jannik Fischbach

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 53

Top Topics

Automatic Detection

Causal Relations

Natural Language

Top Venues

Publications

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 (2024)
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 (2024)
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. REFSQ (2024)
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 (2024)
Florian Angermeir, Jannik Fischbach, Fabiola Moyón, Daniel Méndez
Towards Automated Continuous Security Compliance. CoRR (2024)
Felix Viktor Jedrzejewski, Lukas Thode, Jannik Fischbach, Tony Gorschek, Daniel Méndez, Niklas Lavesson
Adversarial Machine Learning in Industry: A Systematic Literature Review. Comput. Secur. 145 (2024)
Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline. CoRR (2024)
Andreas Vogelsang, Jannik Fischbach
Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline. CoRR (2024)
Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach
Requirements quality research artifacts: Recovery, analysis, and management guideline. J. Syst. Softw. 216 (2024)
Carsten Wiecher, Constantin Mandel, Matthias Günther, Jannik Fischbach, Joel Greenyer, Matthias Greinert, Carsten Wolff, Roman Dumitrescu, Daniel Méndez, Albert Albers
Model-based analysis and specification of functional requirements and tests for complex automotive systems. Syst. Eng. 27 (4) (2024)
Oleksandr Kosenkov, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez, Davide Fucci, Tony Gorschek
On Developing an Artifact-based Approach to Regulatory Requirements Engineering. CoRR (2024)
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 (2024)
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 (2023)
Max Unterbusch, Mersedeh Sadeghi, Jannik Fischbach, Martin Obaidi, Andreas Vogelsang
Explanation Needs in App Reviews: Taxonomy and Automated Detection. CoRR (2023)
Julian Frattini, Jannik Fischbach, Andreas Bauer
CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements. CoRR (2023)
Max Unterbusch, Mersedeh Sadeghi, Jannik Fischbach, Martin Obaidi, Andreas Vogelsang
Explanation Needs in App Reviews: Taxonomy and Automated Detection. REW (2023)
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. BigData (2023)
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. J. Syst. Softw. 197 (2023)
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Daniel Méndez, Davide Fucci, Michael Unterkalmsteiner
Requirements Quality Research: a harmonized Theory, Evaluation, and Roadmap. CoRR (2023)
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)
Julian Frattini, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Andreas Vogelsang, Krzysztof Wnuk
Causality in requirements artifacts: prevalence, detection, and impact. Requir. Eng. 28 (1) (2023)
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)
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Daniel Méndez, Davide Fucci, Michael Unterkalmsteiner
Requirements quality research: a harmonized theory, evaluation, and roadmap. Requir. Eng. 28 (4) (2023)
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 (2022)
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 (2022)
Carsten Wiecher, Constantin Mandel, Matthias Günther, Jannik Fischbach, Joel Greenyer, Matthias Greinert, Carsten Wolff, Roman Dumitrescu, Daniel Méndez, Albert Albers
Model-based Analysis and Specification of Functional Requirements and Tests for Complex Automotive Systems. CoRR (2022)
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci
A Live Extensible Ontology of Quality Factors for Textual Requirements. CoRR (2022)
Julian Frattini, Lloyd Montgomery, Jannik Fischbach, Michael Unterkalmsteiner, Daniel Méndez, Davide Fucci
A Live Extensible Ontology of Quality Factors for Textual Requirements. RE (2022)
Jannik Fischbach, Julian Frattini, Andreas Vogelsang
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts. REFSQ Workshops (2021)
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. RE Workshops (2021)
Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang
CATE: CAusality Tree Extractor from Natural Language Requirements. CoRR (2021)
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 (2021)
Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang
How Do Practitioners Interpret Conditionals in Requirements? CoRR (2021)
Jannik Fischbach, Andreas Vogelsang, Dominik Spies, Andreas Wehrle, Maximilian Junker, Dietmar Freudenstein
Specmate: Automated Creation of Test Cases from Acceptance Criteria. Software Engineering (2021)
Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang
CATE: CAusality Tree Extractor from Natural Language Requirements. RE Workshops (2021)
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)
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 (2021)
Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. BUCC@RANLP (2021)
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 (2021)
Jannik Fischbach, Julian Frattini, Arjen Spaans, Maximilian Kummeth, Andreas Vogelsang, Daniel Méndez, Michael Unterkalmsteiner
Automatic Detection of Causality in Requirement Artifacts: The CiRA Approach. REFSQ (2021)
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 (2021)
Julian Frattini, Jannik Fischbach, Daniel Méndez, Michael Unterkalmsteiner, Andreas Vogelsang, Krzysztof Wnuk
Causality in Requirements Artifacts: Prevalence, Detection, and Impact. CoRR (2021)
Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang
Semi-Automated Labeling of Requirement Datasets for Relation Extraction. CoRR (2021)
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. MoDELS (2021)
Jannik Fischbach, Julian Frattini, Daniel Méndez, Michael Unterkalmsteiner, Henning Femmer, Andreas Vogelsang
How Do Practitioners Interpret Conditionals in Requirements? PROFES (2021)
Jannik Fischbach, Julian Frattini, Andreas Vogelsang
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts. CoRR (2021)
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. ESEM (2020)
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 (2020)
Jannik Fischbach, Benedikt Hauptmann, Lukas Konwitschny, Dominik Spies, Andreas Vogelsang
Towards Causality Extraction from Requirements. RE (2020)
Jannik Fischbach, Andreas Vogelsang, Dominik Spies, Andreas Wehrle, Maximilian Junker, Dietmar Freudenstein
SPECMATE: Automated Creation of Test Cases from Acceptance Criteria. ICST (2020)
Jannik Fischbach, Benedikt Hauptmann, Lukas Konwitschny, Dominik Spies, Andreas Vogelsang
Towards Causality Extraction from Requirements. CoRR (2020)
Jannik Fischbach, Maximilian Junker, Andreas Vogelsang, Dietmar Freudenstein
Automated Generation of Test Models from Semi-Structured Requirements. RE Workshops (2019)
Jannik Fischbach, Maximilian Junker, Andreas Vogelsang, Dietmar Freudenstein
Automated Generation of Test Models from Semi-Structured Requirements. CoRR (2019)