Abstract
In this paper, we present the results of research in constructing criteria for qualitative assessment of domain specific languages. Proposed compound metric consists of three parts: classic grammar size metrics, for evaluation programming language as a software and for evaluating conciseness. Each part of compound metric evaluates different characteristics needed for assessment of modern domain specific languages. To process evaluation automated software was developed. Research also contains explanation of marks for each component and their influence on the quality of accessing programming language. The analysis of assessment results provided required information for further improvements which will be presented as a part of system for computer-aided design of domain specific languages. Achieved compound metric could be used in assessment of domain specific programming languages of any types and can eliminate human provided mistakes in some areas of design.
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Ocheretianyi, O., Baklan, I. (2022). Assesment Model for Domain Specific Programming Language Design. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_53
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DOI: https://doi.org/10.1007/978-3-030-82014-5_53
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