Travelled to:
1 × Canada
1 × Croatia
1 × Ireland
1 × New Zealand
1 × Portugal
1 × Romania
1 × Sweden
2 × China
2 × Italy
2 × Switzerland
3 × Germany
9 × USA
Collaborated with:
D.Lo Z.Su S.Wang F.Thung Lucia A.Budi N.A.Milea S.Khoo T.F.Bissyandé N.D.Q.Bui Y.Yu S.Glondu L.Gong H.Zhang L.Réveillère G.Muller F.Rahman P.T.Devanbu M.Gabel E.Chiu P.S.Kochhar Z.Xing A.Sæbjørnsen D.J.Quinlan G.Misherghi H.C.Lau P.S.Tschudin J.L.Lawall X.Cheng Z.Peng H.Zhong H.Yu J.Zhao H.J.Kang J.Lawall D.L.0001
Talks about:
detect (9) code (8) bug (6) studi (5) local (5) fault (5) clone (5) test (5) scalabl (4) program (4)
Person: Lingxiao Jiang
DBLP: Jiang:Lingxiao
Facilitated 5 volumes:
Contributed to:
Wrote 39 papers:
- ASE-2014-WangLJ #code search #feedback
- Active code search: incorporating user feedback to improve code search relevance (SW, DL, LJ), pp. 677–682.
- FSE-2014-MileaJK #abstraction #detection #refactoring #scalability
- Vector abstraction and concretization for scalable detection of refactorings (NAM, LJ, SCK), pp. 86–97.
- ISSTA-2014-MileaJK #detection #refactoring #scalability
- Scalable detection of missed cross-function refactorings (NAM, LJ, SCK), pp. 138–148.
- CSMR-2013-BissyandeTWLJR #debugging #empirical #evaluation
- Empirical Evaluation of Bug Linking (TFB, FT, SW, DL, LJ, LR), pp. 89–98.
- CSMR-2013-KochharBLJ #case study #open source #testing
- Adoption of Software Testing in Open Source Projects — A Preliminary Study on 50,000 Projects (PSK, TFB, DL, LJ), pp. 353–356.
- CSMR-2013-ThungBLJ #git #network #social
- Network Structure of Social Coding in GitHub (FT, TFB, DL, LJ), pp. 323–326.
- CSMR-2013-WangLJ #case study #comprehension #taxonomy
- Understanding Widespread Changes: A Taxonomic Study (SW, DL, LJ), pp. 5–14.
- PLOS-2013-TschudinRJLLM #comprehension #linux #search-based
- Understanding the genetic makeup of Linux device drivers (PST, LR, LJ, DL, JLL, GM), p. 6.
- SAC-2013-WangLJ #developer #empirical #interactive #stack overflow
- An empirical study on developer interactions in StackOverflow (SW, DL, LJ), pp. 1019–1024.
- WCRE-2013-ThungLJ #automation
- Automatic recovery of root causes from bug-fixing changes (FT, DL, LJ), pp. 92–101.
- ASE-2012-GongLJZ #fault #locality
- Diversity maximization speedup for fault localization (LG, DL, LJ, HZ), pp. 30–39.
- ASE-2012-LuciaLJB #evolution #named #source code #testing
- kbe-anonymity: test data anonymization for evolving programs (L, DL, LJ, AB), pp. 262–265.
- ASE-2012-ThungLLJRD #debugging #detection #empirical #fault #tool support #what
- To what extent could we detect field defects? an empirical study of false negatives in static bug finding tools (FT, L, DL, LJ, FR, PTD), pp. 50–59.
- ICSE-2012-LuciaLJB #refinement
- Active refinement of clone anomaly reports (L, DL, LJ, AB), pp. 397–407.
- ICSM-2012-GongLJZ #fault #feedback #interactive #locality
- Interactive fault localization leveraging simple user feedback (LG, DL, LJ, HZ), pp. 67–76.
- ICSM-2012-ThungLJ #collaboration #detection
- Detecting similar applications with collaborative tagging (FT, DL, LJ), pp. 600–603.
- ICSM-2012-ThungLJLRD #debugging #question
- When would this bug get reported? (FT, DL, LJ, L, FR, PTD), pp. 420–429.
- ICSM-2012-WangLJ #collaboration #semantics #taxonomy
- Inferring semantically related software terms and their taxonomy by leveraging collaborative tagging (SW, DL, LJ), pp. 604–607.
- MSR-2012-LuciaTLJ #fault #question
- Are faults localizable? (L, FT, DL, LJ), pp. 74–77.
- WCRE-2012-ThungLJ #automation #categorisation #fault
- Automatic Defect Categorization (FT, DL, LJ), pp. 205–214.
- ASE-2011-WangLJLL #fault #locality #search-based
- Search-based fault localization (SW, DL, LJ, L, HCL), pp. 556–559.
- PLDI-2011-BudiLJL #behaviour #debugging #named
- kb-anonymity: a model for anonymized behaviour-preserving test and debugging data (AB, DL, LJ, L), pp. 447–457.
- SEKE-2011-BudiLLJW #architecture #automation #design #detection
- Automated Detection of Likely Design Flaws in N-Tier Architectures (AB, L, DL, LJ, SW), pp. 613–618.
- WCRE-2011-WangLJ #code search #dependence #graph #topic
- Code Search via Topic-Enriched Dependence Graph Matching (SW, DL, LJ), pp. 119–123.
- WCRE-2011-WangLXJ #empirical #information retrieval #kernel #linux #locality #using
- Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel (SW, DL, ZX, LJ), pp. 92–96.
- ICSM-2010-LuciaLJB #evaluation #fault #locality #metric
- Comprehensive evaluation of association measures for fault localization (L, DL, LJ, AB), pp. 1–10.
- ASE-2009-SaebjoernsenJQS #c #metaprogramming #preprocessor #validation
- Static Validation of C Preprocessor Macros (AS, LJ, DJQ, ZS), pp. 149–160.
- ISSTA-2009-JiangS #automation #mining #random testing #testing
- Automatic mining of functionally equivalent code fragments via random testing (LJ, ZS), pp. 81–92.
- FSE-2008-JiangS #analysis #effectiveness #testing
- Profile-guided program simplification for effective testing and analysis (LJ, ZS), pp. 48–58.
- ICSE-2008-GabelJS #detection #scalability #semantics
- Scalable detection of semantic clones (MG, LJ, ZS), pp. 321–330.
- ASE-2007-JiangS #control flow #debugging #predict #statistics
- Context-aware statistical debugging: from bug predictors to faulty control flow paths (LJ, ZS), pp. 184–193.
- ESEC-FSE-2007-JiangSC #debugging #detection
- Context-based detection of clone-related bugs (LJ, ZS, EC), pp. 55–64.
- ICSE-2007-JiangMSG #detection #named #scalability
- DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones (LJ, GM, ZS, SG), pp. 96–105.
- ICSE-2006-JiangS #c #correctness #named #source code #type system #validation
- Osprey: a practical type system for validating dimensional unit correctness of C programs (LJ, ZS), pp. 262–271.
- ASE-2016-ChengPJZYZ #detection #mining
- Mining revision histories to detect cross-language clones without intermediates (XC, ZP, LJ, HZ, HY, JZ), pp. 696–701.
- ESEC-FSE-2018-GlonduJS
- Ten years of hunting for similar code for fun and profit (keynote) (SG, LJ, ZS), p. 2.
- ASE-2019-BuiYJ #named #network
- AutoFocus: Interpreting Attention-Based Neural Networks by Code Perturbation (NDQB, YY, LJ), pp. 38–41.
- ESEC-FSE-2019-BuiYJ #api #learning #named
- SAR: learning cross-language API mappings with little knowledge (NDQB, YY, LJ), pp. 796–806.
- ECOOP-2019-KangTLMJ0 #case study #experience #java #program transformation #semantics
- Semantic Patches for Java Program Transformation (Experience Report) (HJK, FT, JL, GM, LJ, DL0), p. 27.