Abstract Machine-learning techniques are used to find the defect, fault, ambiguity, and bad
smell to accomplish quality, maintainability, and reusability in software. Software fault …

In the process of software development, software fault prediction is a useful practice to
ensure reliable and high quality software products. It plays a vital role in the process of …

One of the most active areas of research in the software engineering community is defect
prediction. The gap between data mining and software engineering must be bridged to …

Background Software fault prediction is the process of developing models that can be used
by the software practitioners in the early phases of software development life cycle for …

Many sophisticated applications have been emerged in various industries due to the rapid
growth of software technologies. Especially, the business organizations utilize the services …

Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …

Abstractoftware systems are any software product or applications that support business
domains such as Manufacturing, Aviation, Health care, insurance and so on. Software …

This paper provides a systematic review of previous software fault prediction studies with a
specific focus on metrics, methods, and datasets. The review uses 74 software fault …

Software engineering discipline contains several prediction approaches such as test effort
prediction, correction cost prediction, fault prediction, reusability prediction, security …

This paper presents a literature review of the use of various techniques for artificial
intelligence techniques in the field of software defect prediction. This literature review is very …