Travelled to:1 × Brazil
1 × Canada
1 × Italy
1 × Sweden
1 × USA
Collaborated with:I.Schaefer U.Aßmann M.Nieke S.Schuster B.Klatt K.Krogmann F.Heidenreich A.Hoff D.Lüddecke J.Schneider T.Kühn M.Leuthäuser S.Götz R.Hebig T.Berger J.K.Pedersen A.Wasowski J.Mauro T.Thüm I.C.Yu F.Franzke D.Hinterreiter L.Linsbauer H.Prähofer P.Grünbacher
Talks about:model (7) softwar (4) product (4) evolut (4) featur (3) line (3) metamodel (2) variabl (2) program (2) languag (2)
Person: Christoph Seidl
DBLP: Seidl:Christoph
Contributed to:
2015
2015
2014
2014
20142012
201820182019Wrote 10 papers:
- GPCE-2015-SeidlSS #design pattern #development #generative #product line #using #variability
- Generative software product line development using variability-aware design patterns (CS, SS, IS), pp. 151–160.
- MoDELS-2015-LuddeckeSSS #modelling #network #using
- Modeling user intentions for in-car infotainment systems using Bayesian networks (DL, CS, JS, IS), pp. 378–385.
- ICSME-2014-KlattKS #analysis #dependence
- Program Dependency Analysis for Consolidating Customized Product Copies (BK, KK, CS), pp. 496–500.
- SLE-2014-KuhnLGSA #metamodelling #modelling #product line #programming language
- A Metamodel Family for Role-Based Modeling and Programming Languages (TK, ML, SG, CS, UA), pp. 141–160.
- SPLC-2014-SeidlSA #product line #variability
- Integrated management of variability in space and time in software families (CS, IS, UA), pp. 22–31.
- SPLC-2012-SeidlHA #co-evolution #modelling #product line
- Co-evolution of models and feature mapping in software product lines (CS, FH, UA), pp. 76–85.
- ESEC-FSE-2018-HebigSBPW #atl #empirical #model transformation #qvt #transformation language
- Model transformation languages under a magnifying glass: a controlled experiment with Xtend, ATL, and QVT (RH, CS, TB, JKP, AW), pp. 445–455.
- GPCE-2018-NiekeMSTYF #analysis #evolution
- Anomaly analyses for feature-model evolution (MN, JM, CS, TT, ICY, FF), pp. 188–201.
- 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-NiekeHS #automation #evolution #metamodelling
- Automated metamodel augmentation for seamless model evolution tracking and planning (MN, AH, CS), pp. 68–80.