Heuristic Mutation
Heuristic Mutation is a mutation operator that employs domain-specific rules or strategies to guide the introduction of changes in software artifacts, distinguishing itself from random or exhaustive approaches by leveraging heuristic knowledge to enhance fault detection or testing efficiency.
31
Publications
972
Citations
98
Authors
43
Institutions
Publications per year
2017–2026
15
Parents
31
State of mutation testing at google
Goran Petrović, Marko Ivanković · 2018 · 94 citations
Jumble Java Byte Code to Measure the Effectiveness of Unit Tests
Sean A. Irvine, Tin Pavlinic, Leonard E. Trigg et al. · 2007 · 59 citations
1–5 of 31
98
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1
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1–5 of 98
43
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
6 publications
118 citations
University of Tabriz
Tabriz, Iran
1 h-index
1 publications
24 citations

Universidade Federal do Paraná
Curitiba, Brazil
1 h-index
6 publications
102 citations
CAO Group (United States)
West Jordan, United States
1 h-index
1 publications
23 citations
Yangtze River Pharmaceutical Group (China)
Taizhou, China
1 h-index
2 publications
38 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
29 citations

Northeastern University
Shenyang, China
1 h-index
3 publications
60 citations

Donghua University
Shanghai, China
1 h-index
3 publications
165 citations
1–8 of 43
STVR · 1 publications · 15 citations
1
h-index
MPE · 1 publications · 10 citations
1
h-index
1 publications · 19 citations
1
h-index
1 publications · 40 citations
1
h-index
FGCS · 1 publications · 13 citations
1
h-index
1–5