
doi: 10.15439/2024f7885
handle: 10198/30496
An ever-growing landscape of programming technologies (tools, languages, libraries and frameworks) has rapidly become the norm in many domains of computer programming— Web Development being the most noticeable example. The concurrent use of many compartmentalised technologies has advantages: it allows for flexibility in implementation, while also improving reusability. On the other hand, this proliferation tends to create convoluted development workflows that must be (painstakingly) planned, managed and maintained. The combination of multiple languages, libraries, frameworks and tools (Ingredients) in a single project effectively forms a Programming Cocktail, that can rapidly become cognitive and financially onerous. Aiming at understanding these complex situations, an ontology was created to provide a formal and structured analysis of these cocktails. It emerged from a survey of technologies that several companies are currently using to develop their systems, and aims to provide support for better understanding, classifying and characterising Programming Cocktails. This paper presents not only the ontology itself, but also the consequent knowledge that was constructed and structured through its development.
Ontology, Programming Cocktails, Konwledge Construction, Electronic computers. Computer science, Software Development, Programming Technologies, Information technology, QA75.5-76.95, T58.5-58.64
Ontology, Programming Cocktails, Konwledge Construction, Electronic computers. Computer science, Software Development, Programming Technologies, Information technology, QA75.5-76.95, T58.5-58.64
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
