Laura Moreno

Information Systems · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Laura Moreno trusts overall

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

  1. Sonia Haiduc
  2. Adrian Kuhn
  3. Andrian Marcus
  4. Karen Spärck Jones
  5. Jairo Aponte
  6. Stéphane Ducasse
  7. Yihong Gong
  8. Gerard A. Salton

Who trusts Laura Moreno overall

  1. Alexander LeClair
  2. Xing Hu
  3. Jaroslav M. Fowkes
  4. Ziyu Yao
  5. Tien-Duy B. Le
  6. David Lo
  7. Ge Li
  8. Xin Xia
  9. Miltiadis Allamanis
  10. Sakib Haque

Papers from Laura Moreno's perspective

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

  1. Recovering documentation-to-source-code traceability links using latent semantic indexing (25th International Conference on Software Engineering, 2003. Proceedings.)
  2. Semantic clustering: Identifying topics in source code (Information and Software Technology)
  3. An information retrieval approach to concept location in source code (Working Conference on Reverse Engineering)
  4. An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks (IEEE Transactions on Software Engineering)
  5. Supporting program comprehension with source code summarization (2010 ACM/IEEE 32nd International Conference on Software Engineering)
  6. An introduction to latent semantic analysis
  7. Maintaining mental models: a study of developer work habits (International Conference on Software Engineering)
  8. Generic text summarization using relevance measure and latent semantic analysis (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  9. The magical number seven plus or minus two: some limits on our capacity for processing information.
  10. A vector space model for automatic indexing

Their papers