DevOps and Model Driven Engineering (MDE) provide differently skilled IT stakeholders
with methodologies and tools for organizing and automating continuous software …

In a broad spectrum, software metrics play a vital role in attribute assessment, which
successively moves software projects. The metrics measure gives many crucial facets of the …

Low‐code development platforms (LCDPs) aim to simplify software systems' development
by providing easy‐to‐use graphical interfaces and drag‐and‐drop facilities. The system …

A significant challenge of managing successful engineering projects is to know their status
at any time. This paper describes a concept of automated project progress measurement …

Business process management (BPM) has been proven to provide several benefits for
organizations (eg, efficiency, agility, governance). However, the effort required for adopting a …

Abstract Knowledge representation models that aim to present data in a structured and
comprehensible manner have gained popularity as a research focus in the pursuit of …

Every engineering process, especially software, involves two complementary aspects:
structural and behavioral. Behavior is, in essence, transforming the structure associated with …

Artificial Intelligence Engineering is now a core trend in the field of technology. It combines
both artificial intelligence and engineering concepts. In this study, an Artificial Intelligence …

Many software process modeling languages are available today, but the majority do not
meet the community's expectations. They are complex, difficult for enactment, and so forth …

Software architects and developers often use Domain-Specific Languages (DSLs) to model
or code applications. However, designing a DSL that effectively represents its domain can …