Travelled to:
1 × Ireland
1 × Italy
1 × South Africa
1 × Switzerland
1 × The Netherlands
1 × USA
2 × Belgium
Collaborated with:
H.C.Gall M.Pinzger M.Würsch H.Gall M.Brandtner B.Fluri Y.Guo A.Lamkanfi S.Demeyer B.Goethals T.Zimmermann N.Nagappan B.Murphy Y.Zhou J.Lü
Talks about:
predict (5) chang (4) code (3) empir (2) type (2) bug (2) bayesian (1) approach (1) support (1) softwar (1)
Person: Emanuel Giger
DBLP: Giger:Emanuel
Contributed to:
Wrote 8 papers:
- CSMR-WCRE-2014-BrandtnerGG #integration #quality
- Supporting continuous integration by mashing-up software quality information (MB, EG, HCG), pp. 184–193.
- MSR-2012-GigerPG #analysis #empirical #predict
- Can we predict types of code changes? An empirical analysis (EG, MP, HCG), pp. 217–226.
- MSR-2011-GigerPG #debugging #fine-grained #predict #source code
- Comparing fine-grained source code changes and code churn for bug prediction (EG, MP, HCG), pp. 83–92.
- WCRE-2011-GuoWGG #empirical #validation
- An Empirical Validation of the Benefits of Adhering to the Law of Demeter (YG, MW, EG, HCG), pp. 239–243.
- MSR-2010-LamkanfiDGG #debugging #predict
- Predicting the severity of a reported bug (AL, SD, EG, BG), pp. 1–10.
- ESEC-FSE-2009-ZimmermannNGGM #empirical #fault #predict #process #scalability
- Cross-project defect prediction: a large scale experiment on data vs. domain vs. process (TZ, NN, HG, EG, BM), pp. 91–100.
- ASE-2008-FluriGG
- Discovering Patterns of Change Types (BF, EG, HCG), pp. 463–466.
- WCRE-2008-ZhouWGGL #approach #network #predict
- A Bayesian Network Based Approach for Change Coupling Prediction (YZ, MW, EG, HG, JL), pp. 27–36.