Software Defect Prediction Using Artificial Neural Networks: A Systematic Literature Review | Zendy

Muhammad Adnan Khan | Zendy; Nouh Sabri Elmitwally | Zendy; Sagheer Abbas | Zendy; Shabib Aftab | Zendy; Munir Ahmad | Zendy; Muhammad Fayaz | Zendy; Faheem Khan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Software Defect Prediction Using Artificial Neural Networks: A Systematic Literature Review

Author(s) -

Muhammad Adnan Khan,

Nouh Sabri Elmitwally,

Sagheer Abbas,

Shabib Aftab,

Munir Ahmad,

Muhammad Fayaz,

Faheem Khan

Publication year - 2022

Publication title -

scientific programming

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.269

H-Index - 36

eISSN - 1875-919X

pISSN - 1058-9244

DOI - 10.1155/2022/2117339

Subject(s) - computer science , systems development life cycle , software quality assurance , artificial neural network , software bug , process (computing) , software development process , machine learning , artificial intelligence , software , software development , software quality , quality (philosophy) , systematic review , software inspection , software engineering , philosophy , operating system , medline , epistemology , political science , law , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research