Recent years have shown increased cyber attacks targeting less secure
el...
Machine learning (ML) components are increasingly incorporated into soft...
Recent years have shown increased cyber attacks targeting less secure
el...
Recent years have shown increased cyber attacks targeting less secure
el...
Incorporating machine learning (ML) components into software products ra...
Many organizations seek to ensure that machine learning (ML) and artific...
In spite of machine learning's rapid growth, its engineering support is
...
Data science pipelines to train and evaluate models with machine learnin...
Machine learning models have been widely developed, released, and adopte...
Determining whether a configurable software system has a performance bug...
The introduction of machine learning (ML) components in software project...
The lack of specifications is a key difference between traditional softw...
The large amount of third-party packages available in fast-moving softwa...
Performance-influence models can help stakeholders understand how and wh...
Modern systems are built using development frameworks. These frameworks ...
Higher-order mutation has the potential for improving major drawbacks of...
Software engineers have significant expertise to offer when building
int...
Code changes are performed differently in the mobile and non-mobile
plat...
In many domains, software systems cannot be deployed until authorities j...
In configurable software systems, stakeholders are often interested in
k...
Modern cyber-physical systems (e.g., robotics systems) are typically com...
Variational execution is a novel dynamic analysis technique for explorin...
One of the main challenges of debugging is to understand why the program...
Detecting feature interactions is imperative for accurately predicting
p...
Modern software systems provide many configuration options which
signifi...