activity
20192026
most citedDeep Learning for Source Code Modeling and Generation: Models, Applications and Challenges

145 citations · 463 across the 20 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CR2021

KGSecConfig: A Knowledge Graph Based Approach for Secured Container Orchestrator Configuration

Mubin Ul Haque, M. Mehdi Kholoosi, M. Ali Babar

Container Orchestrator (CO) is a vital technology for managing clusters of containers, which may form a virtualized infrastructure for developing and operating software systems. Li…

cs.SE2021★ 7 cited

Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review

Roland Croft, Yongzheng Xie, M. Ali Babar

Software Vulnerability Prediction (SVP) is a data-driven technique for software quality assurance that has recently gained considerable attention in the Software Engineering resear…

cs.SE2021

DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning

Triet H. M. Le, David Hin, Roland Croft +1

It is increasingly suggested to identify Software Vulnerabilities (SVs) in code commits to give early warnings about potential security risks. However, there is a lack of effort to…

cs.SE2021

An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing

Roland Croft, Dominic Newlands, Ziyu Chen +1

Background: Static Application Security Testing (SAST) tools purport to assist developers in detecting security issues in source code. These tools typically use rule-based approach…

cs.SE2021★ 110 cited

A Survey on Data-driven Software Vulnerability Assessment and Prioritization

Triet H. M. Le, Huaming Chen, M. Ali Babar

Software Vulnerabilities (SVs) are increasing in complexity and scale, posing great security risks to many software systems. Given the limited resources in practice, SV assessment…