Binding Semantic Tree of Dynamic Languages to Static Language Constructs
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10369040" target="_blank" >RIV/00216208:11320/17:10369040 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Binding Semantic Tree of Dynamic Languages to Static Language Constructs
Popis výsledku v původním jazyce
With the steadily increasing popularity of dynamic languages in web technologies, it is imperative to continuously improve their utilization. Source code analysis should be used for the purposes of a language compiler or as a part of the development environment, code prediction and preventing issues. Using Microsoft Roslyn open-source compiler platform, we propose a uniform PHP dynamic language source code analysis framework that combines a static language semantic tree with dynamic language features, such as its lack of variable type information. The framework provides source code semantics extensible with the results of subsequent passes of type analysis. The framework is targeted to code analysis and compilation, resulting in an efficient machine code.
Název v anglickém jazyce
Binding Semantic Tree of Dynamic Languages to Static Language Constructs
Popis výsledku anglicky
With the steadily increasing popularity of dynamic languages in web technologies, it is imperative to continuously improve their utilization. Source code analysis should be used for the purposes of a language compiler or as a part of the development environment, code prediction and preventing issues. Using Microsoft Roslyn open-source compiler platform, we propose a uniform PHP dynamic language source code analysis framework that combines a static language semantic tree with dynamic language features, such as its lack of variable type information. The framework provides source code semantics extensible with the results of subsequent passes of type analysis. The framework is targeted to code analysis and compilation, resulting in an efficient machine code.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů