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ORCIDJan H. Boockmann
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2020 – today
- 2024
[c10]Jan H. Boockmann
, Gerald Lüttgen:
Comprehending Object State via Dynamic Class Invariant Learning. FASE 2024: 143-164- [c9]Jan H. Boockmann, Gerald Lüttgen:
On the Hunt for Invalid Objects: Exploring the Object State Space with Program Mutants. SANER 2024: 711-716 - 2022
- [j1]Jan H. Boockmann, Kerstin Jacob, Gerald Lüttgen:
Model-driven Engineering for Dynamic Data Structures. Softwaretechnik-Trends 42(4): 2-7 (2022) - [c8]Tobias Schwartz, Jan H. Boockmann, Leon Martin:
Towards the Evaluation of Action Reversibility in STRIPS Using Domain Generators. FoIKS 2022: 226-236 - [c7]Jan H. Boockmann, Gerald Lüttgen:
Shape-analysis driven memory graph visualization. ICPC 2022: 298-308 - [c6]Jan H. Boockmann, Kerstin Jacob, Gerald Lüttgen:
Throw Away Student Software At Semester End? Better Not! SEUH 2022: 23-28 - [c5]Jan H. Boockmann, Gerald Lüttgen:
Heap Patterns for Memory Graph Visualization. VISSOFT 2022: 162-166 - 2020
- [c4]Leon Martin, Jan H. Boockmann, Andreas Henrich:
Fast Pathfinding in Knowledge Graphs Using Word Embeddings. KI 2020: 305-312 - [c3]Jan H. Boockmann, Gerald Lüttgen:
Learning Data Structure Shapes from Memory Graphs. LPAR 2020: 151-168
2010 – 2019
- 2018
- [c2]Jan H. Boockmann, Gerald Lüttgen, Jan Tobias Mühlberg:
Generating Inductive Shape Predicates for Runtime Checking and Formal Verification. ISoLA (2) 2018: 64-74 - 2017
- [c1]Thomas Rupprecht, Xi Chen, David H. White, Jan H. Boockmann, Gerald Lüttgen, Herbert Bos:
DSIbin: identifying dynamic data structures in C/C++ binaries. ASE 2017: 331-341
Coauthor Index
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