Android source code vulnerability detection: a systematic literature review
The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …
increasing number of mobile applications are constantly offered on mobile marketplaces to …
Android mobile malware detection using machine learning: A systematic review
With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …
phones, which account for 72.2% of the total market share. Hackers try to attack …
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 …
[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 …
A severity-based classification assessment of code smells in Kotlin and Java application
A Gupta, NK Chauhan - Arabian Journal for Science and Engineering, 2022 - Springer
Code smells instigate due to the consistent adoption of bad programming and
implementation styles during the evolution of the software which adversely affects the …
implementation styles during the evolution of the software which adversely affects the …
A security vulnerability predictor based on source code metrics
P Pakshad, A Shameli-Sendi… - Journal of Computer …, 2023 - Springer
Detecting security vulnerabilities in the source code of software systems is one of the most
important challenges in the field of software security. We need an effective solution to …
important challenges in the field of software security. We need an effective solution to …
Software security measurements: A survey
Security metrics for software products give a quantifiable assessment of a software system's
trustworthiness. Metrics can also help detect vulnerabilities in systems, prioritize corrective …
trustworthiness. Metrics can also help detect vulnerabilities in systems, prioritize corrective …
Developer's roadmap to design software vulnerability detection model using different ai approaches
S Pooja, CB Chandrakala, LK Raju - IEEE Access, 2022 - ieeexplore.ieee.org
Automatic software vulnerability detection has caught the eyes of researchers as because
software vulnerabilities are exploited vehemently causing major cyber-attacks. Thus …
software vulnerabilities are exploited vehemently causing major cyber-attacks. Thus …
Empirical evaluation of code smells in open-source software (OSS) using Best Worst Method (BWM) and TOPSIS approach
Purpose Code smells indicate deep software issues. They have been studied by
researchers with different perspectives. The need to study code smells was felt from the …
researchers with different perspectives. The need to study code smells was felt from the …
Analysis of heart disease using parallel and sequential ensemble methods with feature selection techniques: heart disease prediction
DC Yadav, S Pal - International Journal of Big Data and Analytics in …, 2021 - igi-global.com
This paper has organized a heart disease-related dataset from UCI repository. The
organized dataset describes variables correlations with class-level target variables. This …
organized dataset describes variables correlations with class-level target variables. This …