Andreas Vogelsang

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Featured Co-authors

Hinrich Schütze
170 publications
Markus Borg
43 publications
Daniel Mendez
37 publications
Michael Unterkalmsteiner
33 publications
Christian Berger
31 publications
Davide Fucci
28 publications
Xavier Franch
28 publications
Eric Knauss
26 publications
Thomas Zimmermann
24 publications
Jannik Fischbach
19 publications
Patrick Ebel
17 publications

research

∙ 07/12/2023

Exploring Millions of User Interactions with ICEBOAT: Big Data Analytics for Automotive User Interfaces

User Experience (UX) professionals need to be able to analyze large amou...

0 Patrick Ebel, et al. ∙

research

∙ 07/10/2023

Explanation Needs in App Reviews: Taxonomy and Automated Detection

Explainability, i.e. the ability of a system to explain its behavior to ...

0 Max Unterbusch, et al. ∙

research

∙ 05/25/2023

Multitasking while Driving: How Drivers Self-Regulate their Interaction with In-Vehicle Touchscreens in Automated Driving

Driver assistance systems are designed to increase comfort and safety by...

0 Patrick Ebel, et al. ∙

research

∙ 03/07/2023

Automatically Classifying Kano Model Factors in App Reviews

[Context and motivation] Requirements assessment by means of the Kano mo...

0 Michelle Binder, et al. ∙

research

∙ 01/05/2023

On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions

With modern infotainment systems, drivers are increasingly tempted to en...

0 Patrick Ebel, et al. ∙

research

∙ 08/26/2022

ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces

In this work, we present ICEBOAT an interactive tool that enables automo...

0 Patrick Ebel, et al. ∙

research

∙ 07/09/2022

How Do Drivers Self-Regulate their Secondary Task Engagements? The Effect of Driving Automation on Touchscreen Interactions and Glance Behavior

With ever-improving driver assistance systems and large touchscreens bec...

0 Patrick Ebel, et al. ∙

research

∙ 02/02/2022

Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study

Acceptance testing is crucial to determine whether a system fulfills end...

0 Jannik Fischbach, et al. ∙

research

∙ 12/15/2021

Causality in Requirements Artifacts: Prevalence, Detection, and Impact

Background: Causal relations in natural language (NL) requirements conve...

0 Julian Frattini, et al. ∙

research

∙ 09/05/2021

How Do Practitioners Interpret Conditionals in Requirements?

Context: Conditional statements like "If A and B then C" are core elemen...

0 Jannik Fischbach, et al. ∙

research

∙ 09/05/2021

Semi-Automated Labeling of Requirement Datasets for Relation Extraction

Creating datasets manually by human annotators is a laborious task that ...

0 Jeremias Bohn, et al. ∙

research

∙ 08/30/2021

Measuring Interaction-based Secondary Task Load: A Large-Scale Approach using Real-World Driving Data

Center touchscreens are the main HMI (Human-Machine Interface) between t...

0 Patrick Ebel, et al. ∙

research

∙ 08/12/2021

Cases for Explainable Software Systems:Characteristics and Examples

The need for systems to explain behavior to users has become more eviden...

0 Mersedeh Sadeghi, et al. ∙

research

∙ 08/03/2021

Visualizing Event Sequence Data for User Behavior Evaluation of In-Vehicle Information Systems

With modern IVIS becoming more capable and complex than ever, their eval...

0 Patrick Ebel, et al. ∙

research

∙ 08/02/2021

Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews

Identifying feature requests and bug reports in user comments holds grea...

0 Pablo Restrepo Henao, et al. ∙

research

∙ 07/21/2021

CATE: CAusality Tree Extractor from Natural Language Requirements

Causal relations (If A, then B) are prevalent in requirements artifacts....

0 Noah Jadallah, et al. ∙

research

∙ 07/21/2021

Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks

[Context:] Causal relations (e.g., If A, then B) are prevalent in functi...

0 Jannik Fischbach, et al. ∙

research

∙ 07/12/2021

Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal

Currently, practitioners follow a top-down approach in automotive develo...

0 Carsten Wiecher, et al. ∙

research

∙ 03/11/2021

CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts

Requirements often specify the expected system behavior by using causal ...

0 Jannik Fischbach, et al. ∙

research

∙ 01/26/2021

Automatic Detection of Causality in Requirement Artifacts: the CiRA Approach

System behavior is often expressed by causal relations in requirements (...

0 Jannik Fischbach, et al. ∙

research

∙ 11/10/2020

How do Practitioners Perceive the Relevance of Requirements Engineering Research?

The relevance of Requirements Engineering (RE) research to practitioners...

0 Xavier Franch, et al. ∙

research

∙ 09/03/2020

What Makes Agile Test Artifacts Useful? An Activity-Based Quality Model from a Practitioners' Perspective

Background: The artifacts used in Agile software testing and the reasons...

0 Jannik Fischbach, et al. ∙

research

∙ 07/21/2020

The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective

We are interested in the role of field user interaction data in the deve...

0 Patrick Ebel, et al. ∙

research

∙ 07/10/2020

Topic Modeling on User Stories using Word Mover's Distance

Requirements elicitation has recently been complemented with crowd-based...

0 Kim Julian Gülle, et al. ∙

research

∙ 07/07/2020

Data-driven Risk Management for Requirements Engineering: An Automated Approach based on Bayesian Networks

Requirements Engineering (RE) is a means to reduce the risk of deliverin...

0 Florian Wiesweg, et al. ∙

research

∙ 06/29/2020

Towards Causality Extraction from Requirements

System behavior is often based on causal relations between certain event...

0 Jannik Fischbach, et al. ∙

research

∙ 04/16/2020

Destination Prediction Based on Partial Trajectory Data

Two-thirds of the people who buy a new car prefer to use a substitute in...

0 Patrick Ebel, et al. ∙

research

∙ 02/07/2020

Views on Quality Requirements in Academia and Practice: Commonalities, Differences, and Context-Dependent Grey Areas

Context: Quality requirements (QRs) are a topic of constant discussions ...

0 Andreas Vogelsang, et al. ∙

research

∙ 02/07/2020

How do Quantifiers Affect the Quality of Requirements?

Context: Requirements quality can have a substantial impact on the effec...

0 Katharina Winter, et al. ∙

research

∙ 08/22/2019

Automated Generation of Test Models from Semi-Structured Requirements

[Context:] Model-based testing is an instrument for automated generation...

0 Jannik Fischbach, et al. ∙

research

∙ 08/13/2019

Towards Self-Explainable Cyber-Physical Systems

With the increasing complexity of CPSs, their behavior and decisions bec...

0 Mathias Blumreiter, et al. ∙

research

∙ 08/13/2019

Requirements Engineering for Machine Learning: Perspectives from Data Scientists

Machine learning (ML) is used increasingly in real-world applications. I...

0 Andreas Vogelsang, et al. ∙

research

∙ 02/25/2019

Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study

The technological advancements of recent years have steadily increased t...

0 Jannik Lotz, et al. ∙

research

∙ 09/01/2017

Should I Stay or Should I Go? On Forces that Drive and Prevent MBSE Adoption in the Embedded Systems Industry

[Context] Model-based Systems Engineering (MBSE) comprises a set of mode...

0 Andreas Vogelsang, et al. ∙

research

∙ 08/29/2017

Why feature dependencies challenge the requirements engineering of automotive systems: An empirical study

Functional dependencies and feature interactions in automotive software ...

0 Andreas Vogelsang, et al. ∙

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