Travelled to:1 × China
1 × Germany
1 × Korea
1 × Sweden
1 × The Netherlands
3 × USA
Collaborated with:Z.Ma W.Shao H.B.K.Tan Z.Niu Z.Xu Y.Zou L.Jiang H.Jiang Y.Jiang L.Zhang N.Niu T.Bhowmik N.Stoll S.Junginger K.Thurow Y.Liu T.Davies Z.Chen C.Karlsson G.Li Y.Lemrabet N.Benkeltoum M.Bigand J.P.Bourey F.Lu Y.Jian Y.Zhou Z.Jiang L.Yang
Talks about:base (4) refactor (3) learn (3) approach (2) requir (2) enabl (2) bioinformat (1) understand (1) undergradu (1) recommend (1)
Person: Hui Liu
DBLP: Liu:Hui
Contributed to:
2014
2012
2012
2011
2011
2011
2009
2007
2006201820192019Wrote 12 papers:
- RE-2014-NiuBLN #refactoring #requirements
- Traceability-enabled refactoring for managing just-in-time requirements (NN, TB, HL, ZN), pp. 133–142.
- CASE-2012-LiuSJT #automation #hybrid #mobile
- A Floyd-Dijkstra hybrid application for mobile robot path planning in life science automation (HL, NS, SJ, KT), pp. 279–284.
- SEKE-2012-LiuMLS #analysis #non-functional #specification
- Risk-driven Non-functional Requirement Analysis and Specification (YL, ZM, HL, WS), pp. 55–60.
- ICEIS-v3-2011-LemrabetLBBB
- Business-IT Alignment and Organisation Agility Enabled by BPM and SOA Approaches Interplay (YL, HL, NB, MB, JPB), pp. 241–246.
- ITiCSE-2011-LuLJZJ #student
- A bioinformatics e-learning lab for undergraduate students (FL, HL, YJ, YZ, ZJ), p. 356.
- PPoPP-2011-DaviesCKL
- Algorithm-based recovery for HPL (TD, ZC, CK, HL), pp. 303–304.
- ESEC-FSE-2009-LiuYNMS #order #refactoring #smell
- Facilitating software refactoring with appropriate resolution order of bad smells (HL, LY, ZN, ZM, WS), pp. 265–268.
- ASE-2007-LiuLMS #quality #refactoring #scheduling
- Scheduling of conflicting refactorings to promote quality improvement (HL, GL, ZM, WS), pp. 489–492.
- ICSM-2006-LiuT #approach #comprehension #maintenance #validation
- An Approach to Aid the Understanding and Maintenance of Input Validation (HL, HBKT), pp. 370–379.
- ASE-2018-LiuXZ #detection #learning
- Deep learning based feature envy detection (HL, ZX, YZ), pp. 385–396.
- ASE-2019-JiangLJ #how #machine learning #recommendation
- Machine Learning Based Recommendation of Method Names: How Far are We (LJ, HL, HJ), pp. 602–614.
- ESEC-FSE-2019-JiangLZ #semantics
- Semantic relation based expansion of abbreviations (YJ, HL, LZ), pp. 131–141.