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Programming cocktail analysis based on the cognitive load theory, a first approach

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Detalhes bibliográficos
Resumo:The daily activities of those involved in software development are inherently related to the technologies they use. Languages, libraries, frameworks, and tools tend to accumulate as projects evolve and change, effectively forming Programming Cocktails. Unfortunately, the burden of learning, using, and managing these technologies also tends to closely follow this growth, spawning a myriad of concepts that need to be handled concurrently. This complexity usually requires several factors to be analysed, in order to limit its negative effects. These factors range from security risks to costs and cognitive load, just to mention a few. This paper presents an ontology-based modelling framework that can be used to create an overview of Programming Cocktails. The instantiation of this ontology results in Cocktail Identity Cards, which can then be augmented with one or more of the previously mentioned factors. Finally, the paper also presents a first approach to the cognitive load analysis of Programming Cocktails, based on John Sweller’s Cognitive Load Theory.
Autores principais:Costa Neto, Alvaro
Outros Autores:Pereira, Maria João; Henriques, Pedro Rangel
Assunto:Programming cocktails Cognitive load theory Tech stack Programming technologies Development complexity
Ano:2025
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:The daily activities of those involved in software development are inherently related to the technologies they use. Languages, libraries, frameworks, and tools tend to accumulate as projects evolve and change, effectively forming Programming Cocktails. Unfortunately, the burden of learning, using, and managing these technologies also tends to closely follow this growth, spawning a myriad of concepts that need to be handled concurrently. This complexity usually requires several factors to be analysed, in order to limit its negative effects. These factors range from security risks to costs and cognitive load, just to mention a few. This paper presents an ontology-based modelling framework that can be used to create an overview of Programming Cocktails. The instantiation of this ontology results in Cocktail Identity Cards, which can then be augmented with one or more of the previously mentioned factors. Finally, the paper also presents a first approach to the cognitive load analysis of Programming Cocktails, based on John Sweller’s Cognitive Load Theory.

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