A fuzzy logic expert system to predict module fault proneness using unlabeled data

Several techniques have been proposed to predict the fault proneness of software modules in the absence of fault data. However, the application of these techniques requires an expert assistant and is based on fixed thresholds and rules, which potentially prevents obtaining optimal prediction results...

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Bibliographic Details
Main Authors: Golnoush Abaei, Ali Selamat, Jehad Al Dallal
Format: Article
Published: Elsevier 2020-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157818300247