Large Language Models (LLMs) have shown promise in multiple software
eng...
Code generation systems have been extensively developed in recent years ...
There has been a recent explosion of research on Large Language Models (...
Existing research mostly improves the fairness of Machine Learning (ML)
...
This is the first work to report on inferential testing at scale in indu...
Mutation testing has been demonstrated to be one of the most powerful
fa...
Software systems are vulnerable to fairness bugs and frequently exhibit
...
This paper provides a comprehensive survey of bias mitigation methods fo...
Software bias is an increasingly important operational concern for softw...
With little to no parallel data available for programming languages,
uns...
During testing, developers can place oracles externally or internally wi...
UI testing is tedious and time-consuming due to the manual effort requir...
Software-intensive organizations rely on large numbers of software asset...
We introduce the Web-Enabled Simulation (WES) research agenda, and descr...
Much research on software testing makes an implicit assumption that test...
This paper presents TransRepair, a fully automatic approach for testing ...
Combinatorial Testing (CT) is a potentially powerful testing technique,
...
This paper provides a comprehensive survey of Machine Learning Testing (...
Recently, there has been growing debate as to whether or not static anal...
This paper introduces PMV (Perturbed Model Validation), a new technique ...
Traditional program analysis analyses a program language, that is, all
p...