In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …

Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

Abstract Context A Multivocal Literature Review (MLR) is a form of a Systematic Literature
Review (SLR) which includes the grey literature (eg, blog posts, videos and white papers) in …

Software Engineering (SE) researchers are increasingly paying attention to organizational
and human factors. Rather than focusing only on variables that can be directly measured …

Adding an ability for a system to learn inherently adds uncertainty into the system. Given the
rising popularity of incorporating machine learning into systems, we wondered how the …

We define perceived diversity as the diversity factors that individuals are born with.
Perceived diversity in Software Engineering has been recognized as a high-value team …

Refactoring and smells have been well researched by the software-engineering research
community these past decades. Several secondary studies have been published on code …

It is common sense that cloud-native applications (CNA) are intentionally designed for the
cloud. Although this understanding can be broadly used it does not guide and explain what …

App reviews found in app stores can provide critically valuable information to help software
engineers understand user requirements and to design, debug, and evolve software …

Every programmer has a characteristic style, ranging from preferences about identifier
naming to preferences about object relationships and design patterns. Coding conventions …