Semantic Analysis of Ambiguous Types in Dynamic Languages

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10369035" target="_blank" >RIV/00216208:11320/18:10369035 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s12652-018-0731-5" target="_blank" >https://link.springer.com/article/10.1007/s12652-018-0731-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12652-018-0731-5" target="_blank" >10.1007/s12652-018-0731-5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Semantic Analysis of Ambiguous Types in Dynamic Languages

Popis výsledku v původním jazyce

The recent expansion of cloud-based solutions highlights that legacy programming languages and technologies, such as the PHP language, are still in heavy use. Furthermore, it turns out that for their effective integration into modern platforms, it is important to understand the legacy code base to provide modern analysis, testing and eventually compiler tooling. The dynamic language PHP would be the perfect candidate for such a synergy, due to its extensive usage, frequent issues in source codes and the need for a better performance and scalability. In this paper, we describe a solution that combines known static language code analysis techniques, and that is enhanced by numerous modifications. As a result, we have a design and implementation of a PHP dynamic language code analysis, compiler and runtime, which improves performance and allows for more advanced high-level code analysis and tools, all incorporated into the modern platform of .NET Core while taking advantage of the Microsoft Roslyn Compiler Platform.

Název v anglickém jazyce

Semantic Analysis of Ambiguous Types in Dynamic Languages

Popis výsledku anglicky

The recent expansion of cloud-based solutions highlights that legacy programming languages and technologies, such as the PHP language, are still in heavy use. Furthermore, it turns out that for their effective integration into modern platforms, it is important to understand the legacy code base to provide modern analysis, testing and eventually compiler tooling. The dynamic language PHP would be the perfect candidate for such a synergy, due to its extensive usage, frequent issues in source codes and the need for a better performance and scalability. In this paper, we describe a solution that combines known static language code analysis techniques, and that is enhanced by numerous modifications. As a result, we have a design and implementation of a PHP dynamic language code analysis, compiler and runtime, which improves performance and allows for more advanced high-level code analysis and tools, all incorporated into the modern platform of .NET Core while taking advantage of the Microsoft Roslyn Compiler Platform.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Ambient Intelligence and Humanized Computing

ISSN

1868-5137

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

9/2

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

13

Strana od-do

1-13

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85049562377