Hoan Anh Nguyen

Information Systems · 2009–2019

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 66 citations into it; #614 of 8,771 by trust here, #980 by citations
• Software — 44 citations into it; #81 of 1,227 by trust here, #101 by citations
• Computer Networks and Communications — 26 citations into it; #5,235 of 9,886 by trust here, #3,638 by citations
• Signal Processing — 21 citations into it; #1,150 of 7,572 by trust here, #1,433 by citations
• Artificial Intelligence — 19 citations into it
• Program Analysis & Verification — 16 citations into it
• Code Generation & Program Synthesis — 9 citations into it; #22 of 220 by trust here, #41 by citations

Whom Hoan Anh Nguyen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Marcel Bruch
2. Claire Le Goues
3. Premkumar T. Devanbu
4. Jens Krinke
5. Mark Gabel
6. Tung Thanh Nguyen
7. Romain Robbes
8. John R. Koza
9. Andrzej Wasylkowski
10. Monperrus Martin

Who trusts Hoan Anh Nguyen overall

1. Anh Tuan Nguyen
2. Miltiadis Allamanis
3. Tien Nhut Nguyen
4. Vijayaraghavan Murali
5. Michael Pradel
6. Premkumar T. Devanbu
7. Charles Sutton
8. Yi Li
9. Sahil Bhatia
10. Tam The Nguyen

Papers from Hoan Anh Nguyen's perspective

Ordered by how strongly the researchers Hoan Anh Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. On the naturalness of software
2. PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code (ESEC/FSE-13)
3. Synthesis of interface specifications for Java classes (ACM-SIGACT Symposium on Principles of Programming Languages)
4. Bugs as deviant behavior: a general approach to inferring errors in systems code
5. Detecting object usage anomalies
6. Jungloid mining: helping to navigate the API jungle (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
7. Finding bugs is easy (SIGP)
8. Perracotta: mining temporal API rules from imperfect traces (International Conference on Software Engineering)
9. Automatic patch generation learned from human-written patches (International Conference on Software Engineering)
10. Learning from examples to improve code completion systems

Their papers

• Graph-Based Mining of In-the-Wild, Fine-Grained, Semantic Code Change Patterns (2019) — 59 citations
• A Large-Scale Study on Repetitiveness, Containment, and Composability of Routines in Open-Source Projects (2016) — 17 citations
• Boa: A language and infrastructure for analyzing ultra-large-scale software repositories (2013) — 417 citations
• A statistical semantic language model for source code (2013) — 233 citations
• Graph-based mining of multiple object usage patterns (2009) — 307 citations