Survey on software defect prediction techniques
Recent advancements in technology have emerged the requirements of hardware and
software applications. Along with this technical growth, software industries also have faced …
software applications. Along with this technical growth, software industries also have faced …
Mapping the field of software life cycle security metrics
Context: Practitioners establish a piece of software's security objectives during the software
development process. To support control and assessment, practitioners and researchers …
development process. To support control and assessment, practitioners and researchers …
Predicting vulnerable software components via text mining
This paper presents an approach based on machine learning to predict which components
of a software application contain security vulnerabilities. The approach is based on text …
of a software application contain security vulnerabilities. The approach is based on text …
Software vulnerability prediction using text analysis techniques
A Hovsepyan, R Scandariato, W Joosen… - Proceedings of the 4th …, 2012 - dl.acm.org
Early identification of software vulnerabilities is essential in software engineering and can
help reduce not only costs, but also prevent loss of reputation and damaging litigations for a …
help reduce not only costs, but also prevent loss of reputation and damaging litigations for a …
Methods and Tools for TD Estimation and Forecasting: A State-of-the-art Survey
Technical debt (TD), a metaphor inspired by the financial debt of economic theory, indicates
quality compromises that can yield short-term benefits in the software development process …
quality compromises that can yield short-term benefits in the software development process …
Technical debt as an indicator of software security risk: a machine learning approach for software development enterprises
Vulnerability prediction facilitates the development of secure software, as it enables the
identification and mitigation of security risks early enough in the software development …
identification and mitigation of security risks early enough in the software development …
A hierarchical model for quantifying software security based on static analysis alerts and software metrics
Despite the acknowledged importance of quantitative security assessment in secure
software development, current literature still lacks an efficient model for measuring internal …
software development, current literature still lacks an efficient model for measuring internal …
[PDF][PDF] An empirical evaluation of the relationship between technical debt and software security
Technical Debt (TD) is commonly used in practice as a measure of software quality. Due to
the potential overlap between software quality and software security, an interesting topic is …
the potential overlap between software quality and software security, an interesting topic is …
ReposVul: A Repository-Level High-Quality Vulnerability Dataset
Open-Source Software (OSS) vulnerabilities bring great challenges to the software security
and pose potential risks to our society. Enormous efforts have been devoted into automated …
and pose potential risks to our society. Enormous efforts have been devoted into automated …
Context and Multi-Features-Based Vulnerability Detection: A Vulnerability Detection Frame Based on Context Slicing and Multi-Features
Y Zhang, Y Hu, X Chen - Sensors, 2024 - mdpi.com
With the increasing use of open-source libraries and secondary development, software
projects face security vulnerabilities. Existing studies on source code vulnerability detection …
projects face security vulnerabilities. Existing studies on source code vulnerability detection …