![]() Moreover, the studies are mostly based on open-source datasets and the software metrics used to create the models are mainly product metrics. Results: Our finding shows that most of the article was published between 20. ![]() Method: This paper follows the well-known Systematic Literature Review (SLR) approach proposed by Barbara Kitchenham in 2007. It synthesizes the literature focusing on characteristics such as project type, software metrics, data preprocessing techniques, features selection approaches, classifiers, and performance measures used. Goals: The purpose of this paper is to investigate the existing studies of cross-project models for defect prediction. There are a number of approaches proposed with different levels of success and very limited repeatability. Due to the lack of availability of software engineering data from the same project, the researchers proposed cross-project defect prediction (CPDP) models where the data collected from one or more projects are used to predict faults in other project. Background: Software defect prediction models aim at identifying the potential faulty modules of a software project based on historical data collected from previous versions of the same project.
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