BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Canada
1 × Italy
1 × Portugal
3 × USA
Collaborated with:
B.Xu R.Nayak D.Wu Y.Zhou S.Kutty Y.Xu Y.Ouyang Z.Wang Z.Chen B.Wang W.Ma Z.Chen
Talks about:
studi (4) recommend (3) templat (3) empir (3) base (3) librari (2) peopl (2) user (2) use (2) combinatori (1)

Person: Lin Chen


Contributed to:

SEKE 20152015
SEKE 20142014
SAC 20132013
SAC 20122012
SEKE 20102010
SAC 20012001

Wrote 9 papers:

SEKE-2015-WangCMCX #empirical #python
An empirical study on the impact of Python dynamic features on change-proneness (BW, LC, WM, ZC, BX), pp. 134–139.
SEKE-2015-WuCZX #c++ #developer #empirical #how #library
How do developers use C++ libraries? An empirical study (DW, LC, YZ, BX), pp. 260–265.
SEKE-2015-WuCZX15a #case study #comparative #object-oriented #programming language
A metrics-based comparative study on object-oriented programming languages (DW, LC, YZ, BX), pp. 272–277.
SEKE-2014-WuCZX #c++ #empirical #library
An empirical study on the adoption of C++ templates: Library templates versus user defined templates (DW, LC, YZ, BX), pp. 144–149.
SAC-2013-ChenNKX #recommendation
Users segmentations for recommendation (LC, RN, SK, YX), pp. 279–280.
SAC-2012-ChenNX #collaboration #recommendation
A common neighbour based two-way collaborative recommendation method (LC, RN, YX), pp. 214–215.
SAC-2012-KuttyCN #modelling #recommendation #using
A people-to-people recommendation system using tensor space models (SK, LC, RN), pp. 187–192.
SEKE-2010-WangXCC #combinator #effectiveness #testing
Cost-Effective Combinatorial Test Case Prioritization for Varying Combination Weights (ZW, BX, LC, ZC), pp. 273–278.
SAC-2001-ChenO #approach #component
Component-centric approach in a web-based home schooling application (LC, YO), pp. 89–93.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.