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Christof Tinnes
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2020 – today
- 2024
- [i4]Christof Tinnes, Alisa Welter, Sven Apel:
Leveraging Large Language Models for Software Model Completion: Results from Industrial and Public Datasets. CoRR abs/2406.17651 (2024) - 2023
- [j1]Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel
:
Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling. Autom. Softw. Eng. 30(2): 17 (2023) - [c8]Paul Maximilian Bittner, Christof Tinnes, Alexander Schultheiß, Sören Viegener, Timo Kehrer, Thomas Thüm:
Classifying Edits to Variability in Source Code - Summary. Software Engineering 2023: 39-40 - [c7]Paul Maximilian Bittner
, Alexander Schultheiß
, Sandra Greiner
, Benjamin Moosherr
, Sebastian Krieter
, Christof Tinnes
, Timo Kehrer
, Thomas Thüm
:
Views on Edits to Variational Software. SPLC (A) 2023: 141-152 - [i3]Christof Tinnes:
Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations. CoRR abs/2307.07781 (2023) - [i2]Christof Tinnes, Thomas Fuchß, Uwe Hohenstein, Sven Apel:
Towards Automatic Support of Software Model Evolution with Large Language~Models. CoRR abs/2312.12404 (2023) - 2022
- [c6]Christof Tinnes
, Uwe Hohenstein, Wolfgang Rössler, Andreas Biesdorf:
Tackling Model Drifts in Industrial Model-driven Software Product Lines by Means of a Graph Database. DATA 2022: 146-157 - [c5]Paul Maximilian Bittner, Christof Tinnes
, Alexander Schultheiß, Sören Viegener, Timo Kehrer, Thomas Thüm:
Classifying edits to variability in source code. ESEC/SIGSOFT FSE 2022: 196-208 - [c4]Christof Tinnes
, Wolfgang Rössler, Uwe Hohenstein, Torsten Kühn, Andreas Biesdorf
, Sven Apel
:
Sometimes you have to treat the symptoms: tackling model drift in an industrial clone-and-own software product line. ESEC/SIGSOFT FSE 2022: 1355-1366 - 2021
- [c3]Christof Tinnes
, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf
, Sven Apel
:
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. ASE 2021: 930-942 - [i1]Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel:
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. CoRR abs/2108.01001 (2021)
2010 – 2019
- 2019
- [c2]Manoj Bhat, Christof Tinnes
, Klym Shumaiev, Andreas Biesdorf
, Uwe Hohenstein, Florian Matthes:
ADeX: A Tool for Automatic Curation of Design Decision Knowledge for Architectural Decision Recommendations. ICSA Companion 2019: 158-161 - [c1]Christof Tinnes
, Andreas Biesdorf
, Uwe Hohenstein, Florian Matthes:
Ideas on improving software artifact reuse via traceability and self-awareness. SST@ICSE 2019: 13-16
Coauthor Index
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