The energy consumption of machine learning applications and their impact on the
environment has recently gained attention as a research area, focusing on the model …

Abstract Design patterns are applied frequently during software evolution in order to make
the software more flexible and amenable to extension. One little-studied aspect of design …

This article adapts the use case points (UCPs) method to estimate the size and development
effort (DE) required for the Internet of Things systems. Despite the extensive use of UCP in …

Only recently has the software engineering community started conducting research on
developing energy efficient software, or green software. This is shadowed when compared …

As the energy footprint generated by software is increasing at an alarming rate,
understanding how to develop energy-efficient applications has become a necessity …

With the exponential growth of data, the demand for effective data analysis tools has
increased significantly. R language, known for its statistical modeling and data analysis …

With the growing prevalence of virtual reality technology across industries like cinema, video
animation, and gaming, game developers must cater to a wider range of players. Game …

Background: The energy consumption of machine learning and its impact on the
environment has made energy efficient ML an emerging area of research. However, most of …

The resource-efficient development of technical devices is one of the most important non-
functional requirements regarding to global warming. This applies in particular to the …

With the increasing size and complexity of embedded systems, the impact of software on
energy consumption is becoming more important. Previous research focused mainly on …