A Rich High-Order Mutation Testing Dataset for Software Fortification
Journal on Information Technologies & Communications; Vol 2025 No 1; pp: 19-27
Gorde:
| Egile Nagusiak: | Do, Van Nho, Tran, Giang T.C, Nguyen, Duc Thuan, Nguyen, Thi Ngoc Anh, Nguyen, Quang Vu, Nguyen, Thanh Binh |
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| Formatua: | Bài viết |
| Hizkuntza: | English |
| Argitaratua: |
Journal on Information Technologies & Communications
2025
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.32913/mic-ict-research.v2024.n2.1277 https://elib.vku.udn.vn/handle/123456789/5787 |
| Etiketak: |
Etiketa erantsi
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| Thư viện lưu trữ: | Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng |
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Antzeko izenburuak
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Predicting higher order mutation score based on machine learning
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Toward Improving the Quality of Mutation Operator and Test Case Effectiveness in Higher-Order Mutation Testing
nork: Do, Van Nho, et al.
Argitaratua: (2023) -
Performance Analysis of Deep Learning Models for Software Fault Prediction Using the BugHunter Dataset
nork: Dang, Thi Kim Ngan, et al.
Argitaratua: (2025) -
BKIDSet 2022 - Toward Generating a New DDoS Intrusion Detection Dataset
nork: Luu, Minh Tri, et al.
Argitaratua: (2022) -
Increasing Mutation Testing Effectiveness by Combining Lower Order Mutants to Construct Higher Order Mutants
nork: Nguyen, Quang Vu
Argitaratua: (2021)