BibSLEIGH — Dan

Travelled to:

1 × China
1 × France
1 × Hungary
1 × Italy
1 × New Zealand
1 × Sweden
1 × Switzerland
3 × Canada
3 × USA

Collaborated with:

L.Zhang H.Mei L.Zhang L.Z.0023 J.Sun J.Chen H.Zhang Y.Xiong X.Wu ∅ G.Rothermel J.Zhou T.Lan W.Zhao J.Z.0050 D.Zhang Y.Lou J.C.0003 B.Xie C.Guo H.Zhong S.Han T.Zhu M.Zhu C.Wong Y.Pan J.Lin C.Luo S.Cai K.Su G.Wang J.Han P.Sun W.Hu S.Khurshid J.Zhang Y.Bai J.Zhou X.Wang X.He Q.Lin F.Gao Z.Xu Y.Dang

Talks about:

test (16) base (6) local (4) fault (4) priorit (3) generat (3) analysi (3) execut (3) case (3) bug (3)

Person: Dan Hao

DBLP: Hao:Dan

Contributed to:

2015

2014

2013

2012

2009

2006

2005

2004

2015

2016

2018

2019

2018

Wrote 23 papers:

ESEC-FSE-2015-XiongH0ZZL: Inner oracles: input-specific assertions on internal states (YX, DH, LZ, TZ, MZ, TL), pp. 902–905.
ASE-2014-ZhangCHXXZM #polynomial #search-based: Search-based inference of polynomial metamorphic relations (JZ, JC, DH, YX, BX, LZ, HM), pp. 701–712.
ICSME-2014-WongXZHZM #analysis #fault #locality #segmentation: Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis (CPW, YX, HZ, DH, LZ, HM), pp. 181–190.
ECOOP-2013-HaoLZG0 #debugging #question: Is This a Bug or an Obsolete Test? (DH, TL, HZ, CG, LZ), pp. 602–628.
ICSE-2013-ZhangH0RM #testing: Bridging the gap between the total and additional test-case prioritization strategies (LZ, DH, LZ, GR, HM), pp. 192–201.
ICSE-2012-HaoZWMR #on-demand #reduction #testing: On-demand test suite reduction (DH, LZ, XW, HM, GR), pp. 738–748.
SEKE-2012-HaoWZ #classification #empirical #machine learning: An Empirical Study of Execution-Data Classification Based on Machine Learning (DH, XW, LZ), pp. 283–288.
ASE-2009-ZhangZHZM #named #testing: Jtop: Managing JUnit Test Cases in Absence of Coverage Information (LZ, JZ, DH, LZ, HM), pp. 677–679.
ICSE-2009-HaoZZSM #debugging #interactive #named #visual notation: VIDA: Visual interactive debugging (DH, LZ, LZ, JS, HM), pp. 583–586.
ICSM-2009-ZhangZHZM #testing: Prioritizing JUnit test cases in absence of coverage information (LZ, JZ, DH, LZ, HM), pp. 19–28.
ICSE-2006-Hao #fault #interactive #locality #testing: Testing-based interactive fault localization (DH), pp. 957–960.
ASE-2005-HaoPZZMS #approach #fault #locality #testing: A similarity-aware approach to testing based fault localization (DH, YP, LZ, WZ, HM, JS), pp. 291–294.
ICSM-2005-HaoZZMS #case study #fault #locality #reduction #testing #using: Eliminating Harmful Redundancy for Testing-Based Fault Localization Using Test Suite Reduction: An Experimental Study (DH, LZ, HZ, HM, JS), pp. 683–686.
ICSM-2004-ZhaoZHMS #algorithm #feature model #scalability: Alternative Scalable Algorithms for Lattice-Based Feature Location (WZ, LZ, DH, HM, JS), p. 528.
ASE-2015-LinLCSH0 #algorithm #combinator #generative #metaheuristic #named #performance #testing: TCA: An Efficient Two-Mode Meta-Heuristic Algorithm for Combinatorial Test Generation (T) (JL, CL, SC, KS, DH, LZ), pp. 494–505.
ASE-2016-ChenBHZ0XM #static analysis: Supporting oracle construction via static analysis (JC, YB, DH, LZ, LZ, BX, HM), pp. 178–189.
FSE-2016-ZhangLZHZM #branch #testing: Isomorphic regression testing: executing uncovered branches without test augmentation (JZ0, YL, LZ, DH, LZ0, HM), pp. 883–894.
ESEC-FSE-2018-ChenLZZWH0 #analysis #optimisation: Optimizing test prioritization via test distribution analysis (JC0, YL, LZ, JZ, XW, DH, LZ0), pp. 656–667.
ESEC-FSE-2018-ZhangHHZZ #automation #refactoring #spreadsheet: Automated refactoring of nested-IF formulae in spreadsheets (JZ0, SH, DH, LZ0, DZ), pp. 833–838.
ASE-2019-ChenHLZHGXDZ #online #scalability: Continuous Incident Triage for Large-Scale Online Service Systems (JC, XH, QL, HZ, DH, FG, ZX, YD, DZ), pp. 364–375.
ASE-2019-ChenWHXZZ #compilation #generative: History-Guided Configuration Diversification for Compiler Test-Program Generation (JC, GW, DH, YX, HZ, LZ), pp. 305–316.
ESEC-FSE-2019-ChenHSZHZ #compilation #debugging #effectiveness #generative: Compiler bug isolation via effective witness test program generation (JC, JH, PS, LZ, DH, LZ0), pp. 223–234.
ECOOP-2018-ChenHZHK0 #execution #learning #program transformation #symbolic computation: Learning to Accelerate Symbolic Execution via Code Transformation (JC0, WH, LZ, DH, SK, LZ0), p. 27.