4 citations · 10 across the 6 of their papers we have counts for
6 papers
SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning
Xueqi Yang, Mariusz Jakubowski, Li Kang +2
As software projects rapidly evolve, software artifacts become more complex and defects behind get harder to identify. The emerging Transformer-based approaches, though achieving r…
How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs
Rahul Yedida, Hong Jin Kang, Huy Tu +3
Automatically generated static code warnings suffer from a large number of false alarms. Hence, developers only take action on a small percent of those warnings. To better predict…
Old but Gold: Reconsidering the value of feedforward learners for software analytics
Rahul Yedida, Xueqi Yang, Tim Menzies
There has been an increased interest in the use of deep learning approaches for software analytics tasks. State-of-the-art techniques leverage modern deep learning techniques such…
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal +2
How to make software analytics simpler and faster? One method is to match the complexity of analysis to the intrinsic complexity of the data being explored. For example, hyperparam…
Learning to Recognize Actionable Static Code Warnings (is Intrinsically Easy)
Xueqi Yang, Jianfeng Chen, Rahul Yedida +2
Static code warning tools often generate warnings that programmers ignore. Such tools can be made more useful via data mining algorithms that select the "actionable" warnings; i.e.…
Understanding Static Code Warnings: an Incremental AI Approach
Xueqi Yang, Zhe Yu, Junjie Wang +1
Knowledge-based systems reason over some knowledge base. Hence, an important issue for such systems is how to acquire the knowledge needed for their inference. This paper assesses…