publications

2024

1. Detecting Inconsistencies in Software Architecture Documentation Using Traceability Link Recovery

   Jan Keim, Sophie Corallo, Dominik Fuchß, and Anne Koziolek

   In Software Engineering 2024 (SE 2024). Ed.: R. Rabiser, 2024

   46.23.01; LK 01

   DOI
2. Recovering Trace Links Between Software Documentation And Code

   Jan Keim, Sophie Corallo, Dominik Fuchß, Tobias Hey, and 2 more authors

   In Proceedings of 46th International Conference on Software Engineering (ICSE 2024), 2024
3. Requirements Classification for Traceability Link Recovery

   Tobias Hey, Jan Keim, and Sophie Corallo

   In 2024 IEEE 32nd International Requirements Engineering Conference (RE’24), 2024
4. Combining Knowledge Graphs and Large Language Models to Ease Knowledge Access in Software Architecture Research

   Angelika Kaplan, Jan Keim , Marco Schneider, Anne Koziolek, and 1 more author

   2024

2023

1. Detecting Inconsistencies in Software Architecture Documentation Using Traceability Link Recovery

   Jan Keim, Sophie Corallo, Dominik Fuchß, and Anne Koziolek

   In 2023 IEEE 20th International Conference on Software Architecture (ICSA), 2023

   DOI
2. Automated Reverse Engineering of the Technology-Induced Software System Structure

   Yves R. Kirschner, Jan Keim, Nico Peter, and Anne Koziolek

   In Software Architecture, 2023

   Abs

   Evolving system architectures can be complex and difficult to understand, leading to problems such as poor maintainability. Automated reverse engineering of system structure models from source code can mitigate these problems and facilitate architectural decisions. However, identifying components with their interfaces can be challenging because components are often implemented in different frameworks and interconnected in complex ways. Our approach aims to create software models using reusable concept descriptions for reverse engineering. We use structural-level mapping rules to reconstruct the static system structure from source code, assuming that the technology used can determine the components with their interfaces and deployment. We evaluate our approach on four public reference systems. The analyses show that technology-specific rules already provide good results, but the addition of project-specific rules further improves reverse engineering.

2022

1. Establishing a Benchmark Dataset for Traceability Link Recovery between Software Architecture Documentation and Models

   Dominik Fuchß, Sophie Corallo, Jan Keim, Janek Speit, and 1 more author

   In 2nd International Workshop on Mining Software Repositories for Software Architecture - Co-located with 16th European Conference on Software Architecture, 2022

   DOI
2. Introducing an Evaluation Method for Taxonomies

   Angelika Kaplan, Thomas Kühn, Sebastian Hahner, Niko Benkler, and 4 more authors

   In Proceedings of the International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, 2022

   DOI
3. A Taxonomy for Design Decisions in Software Architecture Documentation

   Jan Keim, Tobias Hey, Bjarne Sauer, and Anne Koziolek

   2022

   DOI
4. Evaluation Methods and Replicability of Software Architecture Research Objects

   Marco Konersmann, Angelika Kaplan, Thomas Kühn, Robert Heinrich, and 14 more authors

   In 2022 IEEE 19th International Conference on Software Architecture (ICSA), 2022

   DOI
5. Replication Package of "Evaluation Methods and Replicability of Software Architecture Research Objects"

   Marco Konersmann, Angelika Kaplan, Thomas Kühn, Robert Heinrich, and 14 more authors

   In 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C), 2022

   DOI

2021

1. Knowledge-based Sense Disambiguation of Multiword Expressions in Requirements Documents

   Tobias Hey, Jan Keim, and Walter F. Tichy

   In 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW), 2021

   DOI
2. Towards an Automated Classification Approach for Software Engineering Research

   Angelika Kaplan, and Jan Keim

   In Evaluation and Assessment in Software Engineering, Trondheim, Norway, 2021

   DOI
3. Tracelink Recovery for Software Architecture Documentation

   Jan Keim, Sophie Schulz, Dominik Fuchß, Claudius Kocher, and 2 more authors

   In Software Architecture, 2021

   DOI

2020

1. NoRBERT: Transfer Learning for Requirements Classification

   Tobias Hey, Jan Keim, Anne Koziolek, and Walter F. Tichy

   In 2020 IEEE 28th International Requirements Engineering Conference (RE), 2020

   DOI
2. Does BERT Understand Code?– An Exploratory Study On The Detection Of Architectural Tactics In Code

   Jan Keim, Angelika Kaplan, Anne Koziolek, and Mehdi Mirakhorli

   In European Conference on Software Architecture, 2020
3. Using BERT for the Detection of Architectural Tactics in Code

   Jan Keim, Angelika Kaplan, Anne Koziolek, and Mehdi Mirakhorli

   2020

   DOI
4. What’s the Matter? Knowledge Acquisition by Unsupervised Multi-Topic Labeling for Spoken Utterances

   Sebastian Weigelt, Jan Keim, Tobias Hey, and Walter F Tichy

   International Journal of Humanized Computing and Communication (IJHCC), 2020

   DOI
5. Teaching Programming at Scale.

   Angelika Kaplan, Jan Keim, Yves Schneider, Maximilian Walter, and 3 more authors

   In SEUH, 2020

2019

1. Towards Consistency Checking Between Software Architecture and Informal Documentation

   Jan Keim, and Anne Koziolek

   In 2019 IEEE International Conference on Software Architecture Companion (ICSA-C), 2019

   DOI
2. Towards Consistency Analysis between Formal and Informal Software Architecture Artefacts

   Jan Keim, Yves Schneider, and Anne Koziolek

   In 2019 IEEE/ACM 2nd International Workshop on Establishing the Community-Wide Infrastructure for Architecture-Based Software Engineering (ECASE), 2019

   DOI
3. Managed Software Evolution

   Ralf Reussner, Michael Goedicke, Wilhelm Hasselbring, Birgit Vogel-Heuser, and 2 more authors

   2019
4. Unsupervised Multi-Topic Labeling for Spoken Utterances

   Sebastian Weigelt, Jan Keim, Tobias Hey, and Walter F. Tichy

   In 2019 IEEE International Conference on Humanized Computing and Communication (HCC), 2019

   DOI

2018

1. Themenextraktion zur Domänenauswahl für Programmierung in natürlicher Sprache

   Jan Keim

   Karlsruher Institut für Technologie (KIT), 2018

   DOI

2015

1. Identifikation problematischer Substantivierungen in natürlichsprachigen Anforderungsdokumenten

   Jan Keim

   2015

   DOI
2. DeNom: a tool to find problematic nominalizations using NLP

   Mathias Landhäußer, Sven J. Körner, Walter F. Tichy, Jan Keim, and 1 more author

   In 2015 IEEE Second International Workshop on Artificial Intelligence for Requirements Engineering (AIRE), 2015

   DOI