Affiliation:
1. School of Information Engineering Qujing Normal University Qujing Yunnan China
2. Applied College Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia
3. School of Computer Science and Technology Wuhan University of Technology Wuhan China
4. College of Mathematics and Computer Science Zhejiang Normal University Jinhua Zhejiang China
5. Department of Computer Engineering and Networks College of Engineering in WadiAlddawasir Prince Sattam Bin Abdulaziz University Al Kharj Saudi Arabia
6. Arba Minch University Arba Minch Ethiopia
Abstract
AbstractRetraction: [Muhammad Shafiq, Fatemah H. Alghamedy, Nasir Jamal, Tahir Kamal, Yousef Ibrahim Daradkeh, Mohammad Shabaz, Scientific programming using optimized machine learning techniques for software fault prediction to improve software quality, IET Software 2023 (https://doi.org/10.1049/sfw2.12091)].The above article from IET Software, published online on 6 January 2023 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor‐in‐Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Graphics and Computer-Aided Design
Cited by
5 articles.
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