WebJan 18, 2024 · Graph Neural Network for Source Code Defect Prediction. Abstract: Predicting defective software modules before testing is a useful operation that ensures … WebAug 31, 2024 · Abstract. Software defect prediction can improve its quality and is actively studied during the last decade. This paper focuses on the improvement of software defect prediction accuracy by proper feature selection techniques and using ensemble classifier. The software code metrics were used to predict the defective modules.
Progress on approaches to software defect prediction
WebAug 21, 2024 · The paper presented a novel approach to software defect prediction based on semantic, or conceptual, features extracted automatically from the source code. The … WebFeb 21, 2024 · Recent years, software defect prediction systems are becoming quite popular since they improve software reliability by identifying the potential bugs in the code. Several models were introduced in literature that aim to support the developers. Unfortunately, these models consider the manually constructed code features and input into machine learning … cicatrice guy boucher
1 Use of Source Code Similarity Metrics in Software Defect …
WebMay 23, 2024 · raw source code, which is very rare in software defect prediction, it is inappropriate to Appl. Sci. 2024 , 11 , 4793 10 of 19 compare the results with other … WebSoftware Quality Assurance (SQA) is essential in software development and many defect prediction methods based on machine learning have been proposed to identify defective modules. However, most existing defect prediction models do not provide good defect prediction results, and the semantic features reflecting the detective patterns may not be … WebDefect prediction in Softwares. The Metrics Data Program dataset provided by NASA has been used. - GitHub - Gaurav7888/Software_Defect_Prediction: Defect prediction in … cicatrice halloween facile