The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …

Abstract Context: A Machine Learning based System (MLS) is a software system including
one or more components that learn how to perform a task from a given data set. The …

Background. The increasing reliance on applications with machine learning (ML)
components calls for mature engineering techniques that ensure these are built in a robust …

Abstract Context: Grey Literature (GL) recently has grown in Software Engineering (SE)
research since the increased use of online communication channels by software engineers …

Many Duplicate Bug Report Detection (DBRD) techniques have been proposed in the
research literature. The industry uses some other techniques. Unfortunately, there is …

Microservice architectures are increasingly being used to develop application systems.
Despite many guidelines and best practices being published, architecting microservice …

Despite the widespread adoption of computational notebooks, little is known about best
practices for their usage in collaborative contexts. In this paper, we fill this gap by eliciting a …

A promise of cloud computing is the reduction of energy footprint enabled by economies of
scale. Unfortunately, little research is available on how cloud consumers can reduce their …

Deploying machine learning models to production is challenging, partially due to the
misalignment between software engineering and machine learning disciplines but also due …

We conducted a qualitative investigation of architectural decisions faced by practitioners and
modeled current practices in machine learning. We describe a subset of the architectural …