Software defects, also referred to as software bugs, are anomalies or flaws in computer
program that cause software to behave unexpectedly or produce incorrect results. These …

The quantity of data on the web is increasing as the user of the internet grows. Now,
Software is capable enough to replace everything that requires human interference or …

detecting defect in a software product prior to testing reduces the cost of testing and improve
the quality of the software product. Various methods for enhancing the accuracy of defect …

Among the most important activities of the SDLC testing phase is the software defect
prediction (SDP). The modules are identified that are vulnerable to defects and require …

This paper presents an adaptation of the Multi-Layer Perceptron (MLP) algorithm for use in
predicting diabetes risk. The aim is to enhance the accuracy and generalizability of the …

The development of the group based on the machine learning process is being generated
with the support of software analysis. Development of the ideas is being generated and …

A software defect is a common cyberspace security problem, leading to information theft,
system crashes, and other network hazards. Software security is a fundamental challenge …

In the realm of defect prediction in complex systems, the integration of advanced machine
learning techniques holds promise for enhancing accuracy and efficiency. This research …

Within the domain of software development, the practice of software defect prediction (SDP)
holds a central and critical position, significantly contributing to the efficiency and ultimate …

In order to improve the accuracy of software running defect recognition, this paper proposes
a new method of software running defect recognition based on brainstorming optimisation …