Julian Aron Prenner

Information Systems · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Aron Prenner trusts overall

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

  1. Dongsun Kim
  2. Claire Le Goues
  3. Kui Liu
  4. Zimin Chen
  5. James Koppel
  6. Thanhvu Nguyen
  7. Jaechang Nam
  8. Anil Koyuncu
  9. Steve Kommrusch
  10. Hanjun Dai

Who trusts Julian Aron Prenner overall

  1. Chun Xia

Papers from Julian Aron Prenner's perspective

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

  1. Automatic patch generation learned from human-written patches (International Conference on Software Engineering)
  2. Defects4J: a database of existing faults to enable controlled testing studies for Java programs
  3. GenProg: A Generic Method for Automatic Software Repair
  4. SemFix: Program repair via semantic analysis (International Conference on Software Engineering)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs (IEEE Transactions on Software Engineering)
  7. A systematic study of automated program repair: Fixing 55 out of 105 bugs for $8 each
  8. SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
  9. Scaling Laws for Neural Language Models (arXiv.org)
  10. Gradient-based learning applied to document recognition

Their papers