Jannik Fischbach

Orcid: 0000-0002-4361-6118

According to our database1, Jannik Fischbach authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Using Large Language Models for Natural Language Processing Tasks in Requirements Engineering: A Systematic Guideline.
CoRR, 2024

Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment.
CoRR, 2024

Designing NLP-Based Solutions for Requirements Variability Management: Experiences from a Design Science Study at Visma.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2024

2023
Requirements quality research: a harmonized theory, evaluation, and roadmap.
Requir. Eng., December, 2023

Causality in requirements artifacts: prevalence, detection, and impact.
Requir. Eng., March, 2023

Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study.
J. Syst. Softw., 2023

Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts.
Proceedings of the Joint Proceedings of REFSQ-2023 Workshops, 2023

Explanation Needs in App Reviews: Taxonomy and Automated Detection.
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements.
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Why and How to Extract Conditional Statements From Natural Language Requirements.
PhD thesis, 2022

Model-based Analysis and Specification of Functional Requirements and Tests for Complex Automotive Systems.
CoRR, 2022

A Live Extensible Ontology of Quality Factors for Textual Requirements.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

2021
Specmate: Automated Creation of Test Cases from Acceptance Criteria.
Proceedings of the Software Engineering 2021, 2021

CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts.
Proceedings of the Joint Proceedings of REFSQ 2021 Workshops, 2021

Automatic Detection of Causality in Requirement Artifacts: The CiRA Approach.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2021

CATE: CAusality Tree Extractor from Natural Language Requirements.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

How Do Practitioners Interpret Conditionals in Requirements?
Proceedings of the Product-Focused Software Process Improvement, 2021

Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal.
Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021

Semi-Automated Labeling of Requirement Datasets for Relation Extraction.
Proceedings of the 14th Workshop on Building and Using Comparable Corpora, 2021

2020
Towards Causality Extraction from Requirements.
Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

What Makes Agile Test Artifacts Useful?: An Activity-Based Quality Model from a Practitioners' Perspective.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019
Automated Generation of Test Models from Semi-Structured Requirements.
Proceedings of the 27th IEEE International Requirements Engineering Conference Workshops, 2019


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