Low-code software development (LCSD) is an emerging approach to democratize traditional
and Machine Learning (ML) application development for practitioners from diverse …

As big data grows ubiquitous across many domains, more and more stakeholders seek to
develop Machine Learning (ML) applications on their data. The success of an ML …

Low-Code Development Platforms (LCDPs) are software development platforms on the
Cloud, provided through a Platform-as-a-Service model, which allow users to build …

Background. Due to the widespread adoption of Artificial Intelligence (AI) and Machine
Learning (ML) for building software applications, companies are struggling to recruit …

Under the heading of 'low-code', a new class of software development environments has
emerged in recent years which is not only said to afford the prospect of a substantial …

Low-code development is an increasingly proven approach for increasing application
developer productivity, reducing development times and enabling composable business …

Machine learning (ML) components are increasingly incorporated into software products, yet
developers face challenges in transitioning from ML prototypes to products. Academic …

Low-code software development (LCSD) is an emerging approach to democratize
application development for software practitioners from diverse backgrounds. LCSD …

Abstract The integration of Machine Learning Operations (MLOps) with DevOps represents a
transformative approach to modern software development, bringing together the strengths of …

The rising popularity of deep learning (DL) methods and techniques has invigorated interest
in the topic of SE4DL, the application of software engineering (SE) practices on deep …