Suvda Myagmar

Information Systems · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Suvda Myagmar trusts overall

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

  1. Dawson R. Engler
  2. Jens Krinke
  3. Xifeng Yan
  4. Andy Chou
  5. Raghavan Komondoor
  6. Seth Hallem
  7. Sudheendra Hangal
  8. Lutz Prechelt

Who trusts Suvda Myagmar overall

  1. Chanchal Kumar Roy
  2. Zhenmin Li
  3. James R. Cordy
  4. Miltiadis Allamanis
  5. Gang Zhao
  6. Lutz Büch
  7. Rainer Koschke

Papers from Suvda Myagmar's perspective

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

  1. Tracking down software bugs using automatic anomaly detection (Proceedings of the 24th International Conference on Software Engineering. ICSE 2002)
  2. A system and language for building system-specific, static analyses (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  3. SPADE: An Efficient Algorithm for Mining Frequent Sequences (Machine-mediated learning)
  4. Winnowing: local algorithms for document fingerprinting
  5. Efficient and precise datarace detection for multithreaded object-oriented programs (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  6. CCFinder: A Multilinguistic Token-Based Code Clone Detection System for Large Scale Source Code (IEEE Trans. Software Eng.)
  7. CP-Miner: A Tool for Finding Copy-paste and Related Bugs in Operating System Code (USENIX Symposium on Operating Systems Design and Implementation)
  8. Finding Plagiarisms among a Set of Programs with JPlag (Journal of universal computer science (Online))
  9. Identifying similar code with program dependence graphs (Proceedings Eighth Working Conference on Reverse Engineering)
  10. Using Slicing to Identify Duplication in Source Code (Sensors Applications Symposium)

Their papers