Evolving the Enterprise Software Systems Landscape: Towards Anti-Patterns in Smalltalk-to-Java Code Transformation

• Autorzy: Bělohoubek Marek , Pergl Robert

Identyfikatory

DOI

10.15439/2024F3128

• Konferencja: Federated Conference on Computer Science and Information Systems (19 ; 08-11.09.2024 ; Belgrade, Serbia)
• Języki publikacji: EN

Abstrakty

EN

In the rapidly evolving landscape of enterprise software systems, there is a marked escalation in the proliferation of new technologies, tools, languages, and methodologies daily. These innovations are pivotal not only for the development of new systems but also for the maintenance and augmentation of existing infrastructures. Consequently, it is imperative to devise systems that are responsive to these advancements, fostering the integration of novel tools and methodologies into the current systems. This integration often necessitates mechanisms for transforming source code across diverse programming languages. In the course of developing a transformation tool from Smalltalk to Java, we encountered several code patterns that significantly impede the transformation process. This paper aims to elucidate one such transformation anti-pattern. We provide a comprehensive overview, a formal delineation, illustrations derived from actual code, and propose refactoring strategies for both Smalltalk and Java environments.

Słowa kluczowe

EN

computer science; Java; technological innovation; computer language; code; source coding; software system; maintenance

PL

informatyka; Java; innowacje technologiczne; język komputerowy; kod; kodowanie źródłowe; system oprogramowania; utrzymanie

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2024
• Tom: Vol. 39
• Strony: 567--572
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Bělohoubek Marek

• Faculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic

autor

Pergl Robert

• Faculty of Information Technology, Czech Technical University in Prague, Prague, Czech Republic

Bibliografia

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Uwagi

1. This research was supported by the grant of Czech Technical University in Prague No. SGS23/206/OHK3/3T/18.

2. AI technologies (Writefull and ChatGPT) were used solely to improve the language of the paper.

3. Thematic Sessions: Short Papers