Most experts agree that large language models (LLMs), such as those used by Copilot and
ChatGPT, are expected to revolutionize the way in which software is developed. Many …

Abstract Context Model Driven Software Engineering (MDSE) and low-code/no-code
software development tools promise to increase quality and productivity by modelling …

Software assistants have significantly impacted software development for both practitioners
and students, particularly in capstone projects. The effectiveness of these tools varies based …

The increasing integration of AI software into various aspects of our daily lives has amplified
the importance of evaluating the quality of these intelligent systems. The rapid proliferation …

Software modeling has shown for many years that it brings many advantages at the cost of
various efforts and constraints. A large corpus of literature has indeed grown up over the …

System development cycles typically follow a V-cycle, where modelers first analyze a system
specification before proposing its design. When utilizing SysML, this process predominantly …

The synergy between software engineering (SE) and artificial intelligence (AI) catalyzes
software development, as numerous recent studies illustrate an intensified intersection …

Increasing technological advancements in develo** assistants have gained attention
because of its wide use in a variety of fields. In the realm of Software Engineering …

Both recommender systems and bots should proactively and smartly answer the questions
of software developers or other project stakeholders to assist them in performing their tasks …

The recent advances in generative artificial intelligence are revolutionising our daily lives.
Large language models (LLMs)–the technology underlying conversational agents like …