René Just

Software · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom René Just trusts overall

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

  1. Gordon Fraser
  2. Hyunsook Do
  3. Gregg Rothermel
  4. Andrea Arcuri
  5. J. Andrews
  6. Andreas Zeller
  7. Carlos Pacheco
  8. Sebastian G. Elbaum
  9. Darioush Jalali
  10. Michael D. Ernst

Who trusts René Just overall

  1. Michele Tufano
  2. Chun Xia
  3. Lingming Zhang
  4. Yingfei Xiong
  5. Kui Liu
  6. Islem Bouzenia
  7. Sungmin Kang
  8. Xuan-Bach Dinh Le
  9. Zheng Gao
  10. Saikat Chakraborty

Papers from René Just's perspective

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

  1. Is mutation an appropriate tool for testing experiments? [software testing] (Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005.)
  2. Feedback-Directed Random Test Generation (International Conference on Software Engineering)
  3. Empirical evaluation of the tarantula automatic fault-localization technique (International Conference on Automated Software Engineering)
  4. On the Use of Mutation Faults in Empirical Assessments of Test Case Prioritization Techniques (IEEE Transactions on Software Engineering)
  5. Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact (Empirical Software Engineering)
  6. Prioritizing test cases for regression testing (International Symposium on Software Testing and Analysis)
  7. Mutation-Driven Generation of Unit Tests and Oracles (IEEE Transactions on Software Engineering)
  8. Are mutants a valid substitute for real faults in software testing? (SIGSOFT FSE)
  9. EvoSuite: automatic test suite generation for object-oriented software
  10. Coverage is not strongly correlated with test suite effectiveness (International Conference on Software Engineering)

Their papers