Harness Generation

Harness Generation is a software testing methodology that specifically involves the automated creation of test harnesses—controlled environments into which units of code are integrated and executed—to enable effective fuzz testing by specifying inputs, monitoring behavior, and detecting failures.

6

Publications

207

Citations

15

Authors

6

Institutions

Publications per year

2017–2026

2

Authors

15

  1. AB
    Andrew B. Conru

    Stanford University, United States

    2 publications · 91 citations

    2

    h-index

  2. RJ
    Rajeev Joshi

    Jet Propulsion Laboratory, United States

    1 publications · 26 citations

    1

    h-index

  3. HH
    Hong Hu

    Georgia Institute of Technology, United States

    1 publications · 56 citations

    1

    h-index

  4. ST
    Stephen Tong

    Georgia Institute of Technology, United States

    1 publications · 56 citations

    1

    h-index

  5. AG
    Alex Groce

    Oregon State University, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 15

Venues

  1. 1

    h-index

  2. Decision Support Systems

    1 publications · 21 citations

    1

    h-index

1–2