A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Exploring the intersection between software maintenance and machine learning—a systematic mapping study
While some areas of software engineering knowledge present great advances with respect
to the automation of processes, tools, and practices, areas such as software maintenance …
to the automation of processes, tools, and practices, areas such as software maintenance …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Machine learning for technical debt identification
Technical Debt (TD) is a successful metaphor in conveying the consequences of software
inefficiencies and their elimination to both technical and non-technical stakeholders …
inefficiencies and their elimination to both technical and non-technical stakeholders …
A machine and deep learning analysis among SonarQube rules, product, and process metrics for fault prediction
Background Developers spend more time fixing bugs refactoring the code to increase the
maintainability than developing new features. Researchers investigated the code quality …
maintainability than developing new features. Researchers investigated the code quality …
Static Code Analysis: A Tree of Science Review
GA Ruiz, SR Giraldo, HH Morales - Entre Ciencia e Ingeniería, 2023 - revistas.ucp.edu.co
Resumen Static Code Analysis (SA) is the process of finding vulnerabilities in software. This
process has become popular and one of the most evaluated phases in the process of …
process has become popular and one of the most evaluated phases in the process of …
On the adequacy of static analysis warnings with respect to code smell prediction
Code smells are poor implementation choices that developers apply while evolving source
code and that affect program maintainability. Multiple automated code smell detectors have …
code and that affect program maintainability. Multiple automated code smell detectors have …
Detecting security fixes in open-source repositories using static code analyzers
T Fehrer, R Cabrera Lozoya, A Sabetta… - Proceedings of the 28th …, 2024 - dl.acm.org
The sources of reliable, code-level information about vulnerabilities that affect open-source
software (OSS) are scarce, which hinders a broad adoption of advanced tools that provide …
software (OSS) are scarce, which hinders a broad adoption of advanced tools that provide …
High assurance software architecture and design
When a software is constructed, it needs to be carefully architected and designed to get
benefitted from the inherent features of software quality. In addition to hardware, which is …
benefitted from the inherent features of software quality. In addition to hardware, which is …
An Insight into Code Smell Detection Tool
A code smell isn'ta bug and it won't help your system operate exceptionally. It might simply
make it more difficult for software engineers to comprehend and maintain project source …
make it more difficult for software engineers to comprehend and maintain project source …