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Jannik Fischbach
Jannik Fischbach
Consultant at Netlight and Postdoc at fortiss
Verified email at netlight.com
Title
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Cited by
Year
Specmate: Automated creation of test cases from acceptance criteria
J Fischbach, A Vogelsang, D Spies, A Wehrle, M Junker, D Freudenstein
2020 IEEE 13th international conference on software testing, validation and …, 2020
532020
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
382021
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
352021
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
332023
Towards causality extraction from requirements
J Fischbach, B Hauptmann, L Konwitschny, D Spies, A Vogelsang
2020 IEEE 28th International Requirements Engineering Conference (RE), 388-393, 2020
242020
What Makes Agile Test Artifacts Useful? An Activity-Based Quality Model from a Practitioners' Perspective
J Fischbach, H Femmer, D Mendez, D Fucci, A Vogelsang
Proceedings of the 14th ACM/IEEE International Symposium on Empirical …, 2020
182020
A live extensible ontology of quality factors for textual requirements
J Frattini, L Montgomery, J Fischbach, M Unterkalmsteiner, D Mendez, ...
2022 IEEE 30th International Requirements Engineering Conference (RE), 274-280, 2022
172022
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
152021
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
122021
Explanation Needs in App Reviews: Taxonomy and Automated Detection
M Unterbusch, M Sadeghi, J Fischbach, M Obaidi, A Vogelsang
2023 IEEE 31st International Requirements Engineering Conference Workshops …, 2023
112023
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
112021
Causality in requirements artifacts: prevalence, detection, and impact
J Frattini, J Fischbach, D Mendez, M Unterkalmsteiner, A Vogelsang, ...
Requirements Engineering 28 (1), 49-74, 2023
102023
Integrated and iterative requirements analysis and test specification: A case study at Kostal
C Wiecher, J Fischbadh, J Greenyer, A Vogelsang, C Wolff, R Dumitrescu
2021 ACM/IEEE 24th International Conference on Model Driven Engineering …, 2021
102021
Automated generation of test models from semi-structured requirements
J Fischbach, M Junker, A Vogelsang, D Freudenstein
2019 IEEE 27th International Requirements Engineering Conference Workshops …, 2019
92019
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
82023
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
72023
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
72021
Model‐based analysis and specification of functional requirements and tests for complex automotive systems
C Wiecher, C Mandel, M Günther, J Fischbach, J Greenyer, M Greinert, ...
Systems Engineering, 2024
62024
Adversarial machine learning in industry: A systematic literature review
FV Jedrzejewski, L Thode, J Fischbach, T Gorschek, D Mendez, ...
Computers & Security, 103988, 2024
42024
Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline
A Vogelsang, J Fischbach
arXiv preprint arXiv:2402.13823, 2024
42024
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