• Publications
  • Influence
Automatic Classification of Requirements Based on Convolutional Neural Networks
TLDR
We present an approach to automatically classify content elements of a natural language requirements specification as "requirement" or "information". Expand
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Are "Non-functional" Requirements really Non-functional? An Investigation of Non-functional Requirements in Practice
TLDR
We empirically investigate this point of view and aim to increase our understanding on the nature of NFRs addressing system properties. Expand
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Artefacts in software engineering: a fundamental positioning
TLDR
Artefacts play a vital role in software and systems development processes. Expand
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Software Metrics in Static Program Analysis
TLDR
This work presents a framework and an implementation for integrating metric computations into static program analysis by embedding it into Goanna. Expand
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Introduction to the SPES Modeling Framework
TLDR
The aim of model-based development is to use models as main development artifacts in all phases of the development process. Expand
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Requirements Engineering for Machine Learning: Perspectives from Data Scientists
TLDR
We describe our ongoing endeavor to define characteristics and challenges unique to Requirements Engineering (RE) for ML-based systems. Expand
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Challenging Incompleteness of Performance Requirements by Sentence Patterns
TLDR
We introduce a framework for specifying performance requirements based on the question which content is necessary to make a performance requirement complete. Expand
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Using Tools to Assist Identification of Non-requirements in Requirements Specifications - A Controlled Experiment
TLDR
We have developed a tool that automatically classifies the content elements of requirement specifications and issues warnings based on classification using neural networks. Expand
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Automatic Glossary Term Extraction from Large-Scale Requirements Specifications
TLDR
This paper demonstrates how to automatically extract relevant domain-specific glossary term candidates from a large body of requirements, the CrowdRE dataset, using a combination of linguistic processing and statistical filtering. Expand
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Microservice Architectures for Advanced Driver Assistance Systems: A Case-Study
TLDR
The technological advancements of recent years have steadily increased the complexity of vehicle-internal software systems, and the ongoing development towards autonomous driving will further aggravate this situation. Expand
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