BibSLEIGH — Hoan_Anh

Travelled to:

1 × Belgium
1 × China
1 × Cyprus
1 × Germany
1 × India
1 × Italy
1 × New Zealand
1 × Romania
1 × Russia
1 × South Africa
1 × Sweden
1 × Switzerland
1 × United Kingdom
2 × Canada
2 × The Netherlands
6 × USA

Collaborated with:

T.N.Nguyen T.T.Nguyen H.V.Nguyen A.T.Nguyen N.H.Pham J.M.Al-Kofahi H.Rajan A.Tamrawi R.Dyer A.N.Lam A.T.N.0001 Syeda Khairunnesa Samantha X.Wang G.W.Jr. M.Kim M.Hilton M.Codoban L.Mast E.Rademacher D.Dig T.V.Nguyen N.M.Tran H.Phan T.D.Nguyen L.H.Truong

Talks about:

base (12) code (11) detect (8) softwar (7) applic (7) web (7) usag (6) api (6) orient (5) graph (5)

Person: Hoan Anh Nguyen

DBLP: Nguyen:Hoan_Anh

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2015

2016

2018

2017

Wrote 36 papers:

ASE-2014-NguyenNNN #api #approach #learning #migration #mining #statistics: Statistical learning approach for mining API usage mappings for code migration (ATN, HAN, TTN, TNN), pp. 457–468.
FSE-2014-Nguyen0NR #api #corpus #mining #scalability: Mining preconditions of APIs in large-scale code corpus (HAN, RD, TNN, HR), pp. 166–177.
ICSE-2014-NguyenNNN #interprocedural #javascript #mining #web: Mining interprocedural, data-oriented usage patterns in JavaScript web applications (HVN, HAN, ATN, TNN), pp. 791–802.
ASE-2013-NguyenNNNN #multi #web: Dangling references in multi-configuration and dynamic PHP-based Web applications (HVN, HAN, TTN, ATN, TNN), pp. 399–409.
ASE-2013-NguyenNNNR #case study #evolution: A study of repetitiveness of code changes in software evolution (HAN, ATN, TTN, TNN, HR), pp. 180–190.
ESEC-FSE-2013-NguyenNNN #semantics #source code #statistics: A statistical semantic language model for source code (TTN, ATN, HAN, TNN), pp. 532–542.
ICSE-2013-DyerNRN #framework #named #repository #scalability: Boa: a language and infrastructure for analyzing ultra-large-scale software repositories (RD, HAN, HR, TNN), pp. 422–431.
ICSE-2013-NguyenNNN #detection #named #web: DRC: a detection tool for dangling references in PHP-based web applications (HVN, HAN, TTN, TNN), pp. 1299–1302.
ICSM-2013-NguyenNNN #refactoring #web: Output-Oriented Refactoring in PHP-Based Dynamic Web Applications (HAN, HVN, TTN, TNN), pp. 150–159.
ICSM-2013-NguyenNNN13a #fault #locality #web: Database-Aware Fault Localization for Dynamic Web Applications (HVN, HAN, TTN, TNN), pp. 456–459.
ASE-2012-NguyenNNNN #detection #embedded #smell #web: Detection of embedded code smells in dynamic web applications (HVN, HAN, TTN, ATN, TNN), pp. 282–285.
ASE-2012-TamrawiNNN #analysis #named #refactoring: SYMake: a build code analysis and refactoring tool for makefiles (AT, HAN, HVN, TNN), pp. 366–369.
FSE-2012-NguyenNNN #approach #debugging #multi: Multi-layered approach for recovering links between bug reports and fixes (ATN, TTN, HAN, TNN), p. 63.
ICSE-2012-NguyenNNN #detection #named #web: BabelRef: Detection and renaming tool for cross-language program entities in dynamic web applications (HVN, HAN, TTN, TNN), pp. 1391–1394.
ICSE-2012-NguyenNNN12a #code completion #graph #named: GraPacc: A graph-based pattern-oriented, context-sensitive code completion tool (ATN, HAN, TTN, TNN), pp. 1407–1410.
ICSE-2012-NguyenNNTNAN #code completion #graph #source code: Graph-based pattern-oriented, context-sensitive source code completion (ATN, TTN, HAN, AT, HVN, JMAK, TNN), pp. 69–79.
ICSE-2012-TamrawiNNN #analysis #evaluation #symbolic computation: Build code analysis with symbolic evaluation (AT, HAN, HVN, TNN), pp. 650–660.
ASE-2011-NguyenNNN #fault #html #php #validation: Auto-locating and fix-propagating for HTML validation errors to PHP server-side code (HVN, HAN, TTN, TNN), pp. 13–22.
ASE-2011-NguyenNNN11a #difference #named: iDiff: Interaction-based program differencing tool (HAN, TTN, HVN, TNN), pp. 572–575.
ICSE-2011-NguyenNNN #evolution #recommendation: Aspect recommendation for evolving software (TTN, HVN, HAN, TNN), pp. 361–370.
ASE-2010-PhamNNN #detection: Detection of recurring software vulnerabilities (NHP, TTN, HAN, TNN), pp. 447–456.
FASE-2010-NguyenNPN #fine-grained #representation #version control: Operation-Based, Fine-Grained Version Control Model for Tree-Based Representation (TTN, HAN, NHP, TNN), pp. 74–90.
ICSE-2010-NguyenNPAN #debugging #object-oriented #source code: Recurring bug fixes in object-oriented programs (TTN, HAN, NHP, JMAK, TNN), pp. 315–324.
ICSE-2010-PhamNNWNN #detection: Detecting recurring and similar software vulnerabilities (NHP, TTN, HAN, XW, ATN, TNN), pp. 227–230.
ICSM-2010-Al-KofahiTNNN #approach #automation #evolution #fuzzy #set: Fuzzy set approach for automatic tagging in evolving software (JMAK, AT, TTN, HAN, TNN), pp. 1–10.
OOPSLA-2010-NguyenNWNKN #adaptation #api #approach #graph: A graph-based approach to API usage adaptation (HAN, TTN, GWJ, ATN, MK, TNN), pp. 302–321.
ASE-2009-NguyenNPAN #configuration management: Clone-Aware Configuration Management (TTN, HAN, NHP, JMAK, TNN), pp. 123–134.
ESEC-FSE-2009-NguyenNPAN #graph #mining #multi: Graph-based mining of multiple object usage patterns (TTN, HAN, NHP, JMAK, TNN), pp. 383–392.
FASE-2009-NguyenNPAN #clone detection #detection #feature model #performance: Accurate and Efficient Structural Characteristic Feature Extraction for Clone Detection (HAN, TTN, NHP, JMAK, TNN), pp. 440–455.
ICSE-2009-PhamNNAN #clone detection #detection #graph #modelling: Complete and accurate clone detection in graph-based models (NHP, HAN, TTN, JMAK, TNN), pp. 276–286.
ICSM-2009-NguyenNAPN #clone detection #detection #evolution #incremental #scalability: Scalable and incremental clone detection for evolving software (TTN, HAN, JMAK, NHP, TNN), pp. 491–494.
ASE-2008-NguyenNPAN #evolution #named: Cleman: Comprehensive Clone Group Evolution Management (TTN, HAN, NHP, JMAK, TNN), pp. 451–454.
ASE-2015-LamNNN #debugging #information retrieval #learning #locality: Combining Deep Learning with Information Retrieval to Localize Buggy Files for Bug Reports (N) (ANL, ATN, HAN, TNN), pp. 476–481.
FSE-2016-NguyenHCNMRND #api #fine-grained #learning #recommendation #statistics #using: API code recommendation using statistical learning from fine-grained changes (ATN0, MH, MC, HAN, LM, ER, TNN, DD), pp. 511–522.
ESEC-FSE-2018-NguyenTPNT0NN #api #representation #retrieval: Complementing global and local contexts in representing API descriptions to improve API retrieval tasks (TVN, NMT, HP, TDN, LHT, ATN0, HAN, TNN), pp. 551–562.
OOPSLA-2017-SamanthaNNR #mining #problem #specification: Exploiting implicit beliefs to resolve sparse usage problem in usage-based specification mining (SKS, HAN, TNN, HR), p. 29.