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 …

Purpose: Software defect prediction is one of the most active research areas in software
engineering. As our dependency on software is increasing, software quality is becoming …

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 …

Software industries require reliability prediction for quality evaluation and resource planning.
In early phase of software development, failure data is not accessible to conclude the …

Defect prediction is relatively a new research area of software quality assurance. A project
team always aims to produce a quality product with zero or few defects. Quality of a product …

Recent reviews of the literature indicate the need for empirical studies on cross-project
defect prediction (CPDP) that would allow aggregation of the evidence and improve …

Software defect prediction is one of the most popular research topics in software
engineering. It aims to predict defect‐prone software modules before defects are discovered …

Maintaining Software Quality in products is a major challenge for software developers
Software defects are the prime factors affecting the quality of a software product Even though …

In this study, besides the software metrics, the environmental metrics such as experience of
software engineer, similar project experience, size of the project, programming language …