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 …

With the increasing reliance on automatic software-based applications, it is important to
automate the classification of software defects and ensure software reliability. An automatic …

In order to solve the problem of low efficiency in software operation, we need to research the
defect prediction of monitoring configuration software. The current method has the low …

Software fault prediction approaches are much more efficient and effective to detect software
faults compared to software reviews. Machine learning classification algorithms have been …

Due to the maturity of information technology and the change of market demand, the
software structure is more complex, the reports of software project defects are increasing …

In order to improve software quality and testing efficiency, this paper implements the
prediction of software defects based on deep learning. According to the respective …

Software defect prediction can detect whether there are defects in the program module so as
to effectively reduce the unnecessary cost of software development and maintenance. In this …

Recently, early prediction of software defects using the machine learning techniques has
attracted more attention of researchers due to its importance in producing a successful …

Feature selection is a key step in data preprocessing for software defect prediction. Aiming
at the problems of existing feature selection methods such as not significant dimension …

Predicting the existing defects in software products is one of the considerable issues in
software engineering that contributes a lot toward saving time in software production and …