Ina Schaefer, Christoph Reichenbach, Tijs van der Storm
Proceedings of the 18th International Conference on Generative Programming: Concepts and Experiences
GPCE, 2019.
Contents (13 items)
- GPCE-2019-Chiba #interface #migration
- Foreign language interfaces by code migration (SC), pp. 1–13.
- GPCE-2019-Al-hassyCK
- A language feature to unbundle data at will (short paper) (MAh, JC, WK), pp. 14–19.
- GPCE-2019-KramerW #c #nondeterminism #parallel #programming
- Parallel nondeterministic programming as a language extension to C (short paper) (LK, EVW), pp. 20–26.
- GPCE-2019-AndrzejakKCW #agile #domain-specific language
- Agile construction of data science DSLs (tool demo) (AA0, KK, DEC, OW), pp. 27–33.
- GPCE-2019-StojanovRP #compilation #information retrieval
- A stage-polymorphic IR for compiling MATLAB-style dynamic tensor expressions (AS, TR, MP), pp. 34–47.
- GPCE-2019-KramerKW #attribute grammar
- Reflection in attribute grammars (LK, TK, EVW), pp. 48–60.
- GPCE-2019-Shaikhha #pattern matching #polymorphism #semantics
- Polymorphic extractors for semantic and portable pattern matching (short paper) (AS), pp. 61–67.
- GPCE-2019-NiekeHS #automation #evolution #metamodelling
- Automated metamodel augmentation for seamless model evolution tracking and planning (MN, AH, CS), pp. 68–80.
- GPCE-2019-CronburgG #in memory #layout #memory management #named
- Floorplan: spatial layout in memory management systems (KC, SZG), pp. 81–93.
- GPCE-2019-ShaikhhaJK #compilation #domain-specific language #embedded #generative
- Compiler generation for performance-oriented embedded DSLs (short paper) (AS, VJ, CEK), pp. 94–101.
- GPCE-2019-Dimovski #abstract domain #diagrams #static analysis #using
- Lifted static analysis using a binary decision diagram abstract domain (ASD), pp. 102–114.
- GPCE-2019-HinterreiterNLS #evolution #feature model #modelling #product line
- Harmonized temporal feature modeling to uniformly perform, track, analyze, and replay software product line evolution (DH, MN, LL, CS, HP, PG), pp. 115–128.
- GPCE-2019-FeichtingerHLPG #analysis #constraints #dependence #evolution #feature model
- Supporting feature model evolution by suggesting constraints from code-level dependency analyses (KF, DH, LL, HP, PG), pp. 129–142.