Combining Type Inference Techniques for Semi-Automatic UML Generation from Pharo Code

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00377496" target="_blank" >RIV/68407700:21240/25:00377496 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.cola.2024.101300" target="_blank" >https://doi.org/10.1016/j.cola.2024.101300</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cola.2024.101300" target="_blank" >10.1016/j.cola.2024.101300</a>

Result language

angličtina

Original language name

Combining Type Inference Techniques for Semi-Automatic UML Generation from Pharo Code

Original language description

This paper explores how to reconstruct UML diagrams from dynamically typed languages such as Smalltalk, which do not use explicit type information. This lack of information makes traditional methods for extracting associations difficult. It addresses the need for automated techniques, particularly in legacy software systems, to facilitate their transformation into modern technologies, focusing on Smalltalk as a case study due to its extensive industrial legacy and modern adaptations like Pharo. We propose a way to create UML diagrams from Smalltalk code, focusing on using type inference to determine UML associations. For optimal outcomes for large-scale software systems, we recommend combining different type inference methods in an automatic or semi-automatic way.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

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

Project

<a href="/en/project/LM2023055" target="_blank" >LM2023055: Czech National Infrastructure for Biological Data</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

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

Name of the periodical

Journal of Computer Languages

ISSN

2665-9182

e-ISSN

2590-1184

Volume of the periodical

82

Issue of the periodical within the volume

11

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

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UT code for WoS article

001362947600001

EID of the result in the Scopus database

2-s2.0-85209383015