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Annals of Computer Science and Information Systems, Volume 12

Position Papers of the 2017 Federated Conference on Computer Science and Information Systems

Welltype: Language elements for multiparadigm programming

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DOI: http://dx.doi.org/10.15439/2017F546

Citation: Position Papers of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 12, pages 97–101 ()

Full text

Abstract. Modern programming languages try to provide a balance between flexibility to support rapid development and implementing as much validation on the program as possible to avoid expensive runtime errors. This trade-off is reflected in the language syntax, the type system and even in the method how the program produces the runtime binary. While the balance seems to be slightly moved today from safety to effectiveness, there is still a high demand for thoroughly checked, safe, but still effective programming languages. In this paper we introduce our experimental, imperative programming language, Welltype, which is designed to demonstrate that effective development can be accommodated with increased safety. Our language design decisions are based on current real-life problems and their solutions. We describe key features such as syntax improvement, fail-safe type system, and binary compatibility via dynamic linking.

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