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The k-means algorithm is a frequent and easy-to-use clustering algorithm. This algorithm is very sensitive to the centroid point chosen randomly so it cannot produce optimal results. In this research proposed an algorithm called point center to overcome t... see more

The k-means algorithm is a frequent and easy-to-use clustering algorithm. This algorithm is very sensitive to the centroid point chosen randomly so it cannot produce optimal results. In this research proposed an algorithm called point center to overcome t... see more

Early detection of software defects is very important to decrease the software cost and subsequently increase the software quality. Success of software industries not only depends on gaining knowledge about software defects, but largely reflects from the ... see more

The prediction accuracy of defects in code can help direct the test effort, reduce costs and improve software quality. Until now, many researchers have applied various types of algorithm based on machine learning and statistical methods to build predictiv... see more

Software bugs and program defects have significant negative effect on the cost and duration of software development process. Finding such bugs in early stages of the development process will cuts development time and maintenance costs. This investigation ... see more

Software defect prediction is an important means to guarantee software quality. Because there are no sufficient historical data within a project to train the classifier, cross-project defect prediction (CPDP) has been recognized as a fundamental approach.... see more

The development of software undergoes multiple regression phases to deliver quality software. Therefore, to minimize the development effort, time and cost it is very important to understand the probable defects associated with the designed modules. It is ... see more

The aim of this study was to measure the illness cognition of patients with defect in the maxillofacial region. Eighty patients participated in this study. Written informed consent was obtained from patients with maxillofacial area defect, and the patient... see more

Recently, the use of machine learning (ML) algorithms has proven to be of great practical value in solving a variety of engineering problems including the prediction of failure, fault, and defect-proneness as the space system software becomes complex. One... see more

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