… , tools, and datasets that have been applied to solve them. … use of machine learning techniques
for source code analysis … task and summarize machine learning techniques employed. …

… the current knowledge in applied machine learning for source code analysis. We review …
and corresponding machine learning techniques, tools, and datasets that have been applied to …

… existing DL methods for source code modeling and generation. To address the limitations
of the traditional source code models, we formulate common program learning tasks under an …

… code documentation given code inputs (code-to-description), or modify existing code from
one form to another (codeto-code… detailed overview of ML techniques applied to the domain of …

… In this study, we examine how to predict software vulnerabilities from source code by … To
this end, we develop a source code representation method that enables us to perform intelligent …

… machine learning techniques in the context of code smell detection. The open issues emerged
in this study … the input for researchers interested in developing more powerful techniques. …

… In this survey, we focus on a source code-oriented static … method using machine learning
techniques. We review the studies on source code vulnerability analysis based on machine …

… It illustrate the primary evidence of approaching ML in source code security review. We
believe machine learning and its branches will become out-standing in source code review. …

… of DNNs applied in SE. Few works to date focus on summarizing, classifying, and analyzing
the application of deep learning techniques in SE. To fill this gap, we performed a survey to …

… Basically, learning is the process of knowledge acquisition as human naturally [2]. In this
study, some of the machine learning techniques suggested in the literature are applied over …