Travelled to:1 × Italy
1 × Japan
1 × South Korea
1 × Sweden
2 × USA
Collaborated with:K.Czarnecki S.Apel Y.Wang N.Siegmund R.Olaechea D.Rayside A.Wasowski P.Valov Y.Zhang E.Blais A.Sarkar L.T.Passos L.Teixeira P.Borba E.Zulkoski J.M.Atlee
Talks about:predict (4) perform (4) variabl (3) comparison (2) configur (2) softwar (2) system (2) object (2) optim (2) multi (2)
Person: Jianmei Guo
DBLP: Guo:Jianmei
Contributed to:
2015
201420142013201320102015Wrote 8 papers:
- SPLC-2015-ValovGC #comparison #empirical #performance #predict #variability
- Empirical comparison of regression methods for variability-aware performance prediction (PV, JG, KC), pp. 186–190.
- ASE-2014-GuoZORCAA #combinator #optimisation #parallel #scalability
- Scaling exact multi-objective combinatorial optimization by parallelization (JG, EZ, RO, DR, KC, SA, JMA), pp. 409–420.
- SPLC-2014-OlaecheaRGC #approximate #comparison #multi #optimisation #product line
- Comparison of exact and approximate multi-objective optimization for software product lines (RO, DR, JG, KC), pp. 92–101.
- ASE-2013-GuoCASW #approach #learning #performance #predict #statistics #variability
- Variability-aware performance prediction: A statistical learning approach (JG, KC, SA, NS, AW), pp. 301–311.
- SPLC-2013-PassosGTCWB #case study #kernel #linux #modelling #variability
- Coevolution of variability models and related artifacts: a case study from the Linux kernel (LTP, JG, LT, KC, AW, PB), pp. 91–100.
- SPLC-2010-GuoW #consistency #evolution #feature model #modelling #towards
- Towards Consistent Evolution of Feature Models (JG, YW), pp. 451–455.
- ASE-2015-SarkarGSAC #configuration management #low cost #performance #predict
- Cost-Efficient Sampling for Performance Prediction of Configurable Systems (T) (AS, JG, NS, SA, KC), pp. 342–352.
- ASE-2015-ZhangGBC #configuration management #fourier #learning #performance #predict
- Performance Prediction of Configurable Software Systems by Fourier Learning (T) (YZ, JG, EB, KC), pp. 365–373.