32 citations · 89 across the 12 of their papers we have counts for
12 papers
SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification
Rui Shu, Tianpei Xia, Jingzhu He
Background. Labeled data for security classification is scarce. Semi-supervised learning (SSL) propagates labels from a small labeled pool to larger unlabeled pools. Yet security a…
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
Rui Shu, Tianpei Xia, Huy Tu +2
Background: Most of the existing machine learning models for security tasks, such as spam detection, malware detection, or network intrusion detection, are built on supervised mach…
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue
Rui Shu, Tianpei Xia, Laurie Williams +1
Background: Machine learning techniques have been widely used and demonstrate promising performance in many software security tasks such as software vulnerability prediction. Howev…
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Rui Shu, Tianpei Xia, Laurie Williams +1
Background: Machine learning-based security detection models have become prevalent in modern malware and intrusion detection systems. However, previous studies show that such model…
Predicting Health Indicators for Open Source Projects (using Hyperparameter Optimization)
Tianpei Xia, Wei Fu, Rui Shu +2
Software developed on public platform is a source of data that can be used to make predictions about those projects. While the individual developing activity may be random and hard…
Sequential Model Optimization for Software Process Control
Tianpei Xia, Rui Shu, Xipeng Shen +1
Many methods have been proposed to estimate how much effort is required to build and maintain software. Much of that research assumes a ``classic'' waterfall-based approach rather…
Methods for Stabilizing Models across Large Samples of Projects (with case studies on Predicting Defect and Project Health)
Suvodeep Majumder, Tianpei Xia, Rahul Krishna +1
Despite decades of research, SE lacks widely accepted models (that offer precise quantitative stable predictions) about what factors most influence software quality. This paper pro…
How to Better Distinguish Security Bug Reports (using Dual Hyperparameter Optimization
Rui Shu, Tianpei Xia, Jianfeng Chen +2
Background: In order that the general public is not vulnerable to hackers, security bug reports need to be handled by small groups of engineers before being widely discussed. But l…
Better Security Bug Report Classification via Hyperparameter Optimization
Rui Shu, Tianpei Xia, Laurie Williams +1
When security bugs are detected, they should be (a)~discussed privately by security software engineers; and (b)~not mentioned to the general public until security patches are avail…
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid +1
We assert that it is the ethical duty of software engineers to strive to reduce software discrimination. This paper discusses how that might be done. This is an important topic sin…
Hyperparameter Optimization for Effort Estimation
Tianpei Xia, Rahul Krishna, Jianfeng Chen +3
Software analytics has been widely used in software engineering for many tasks such as generating effort estimates for software projects. One of the "black arts" of software analyt…
Why Software Effort Estimation Needs SBSE
Tianpei Xia, Jianfeng Chen, George Mathew +2
Industrial practitioners now face a bewildering array of possible configurations for effort estimation. How to select the best one for a particular dataset? This paper introduces O…