Towards a Framework for Systematic API Migrations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00384396" target="_blank" >RIV/68407700:21240/25:00384396 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.15439/2025F1225" target="_blank" >https://doi.org/10.15439/2025F1225</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15439/2025F1225" target="_blank" >10.15439/2025F1225</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards a Framework for Systematic API Migrations

Popis výsledku v původním jazyce

This work presents a framework for systematic Application Programming Interface (API) migrations that provides guidance for both manual and automated migration processes. The approach starts by matching methods from the old API version with those of the new version, followed by comparative syntactic and semantic analyses to produce migration steps. As a proof of concept, we implement the most challenging parts using structured, parameterized Artificial Intelligence (AI) queries, which also serve as a basis for evaluation. Our results demonstrate the feasibility and usefulness of this approach. Future work will focus on completing the full migration process while reducing reliance on AI due to its current limitations in reasoning. We also plan to evaluate the framework on real-world APIs to assess its effectiveness and general applicability.

Název v anglickém jazyce

Towards a Framework for Systematic API Migrations

Popis výsledku anglicky

This work presents a framework for systematic Application Programming Interface (API) migrations that provides guidance for both manual and automated migration processes. The approach starts by matching methods from the old API version with those of the new version, followed by comparative syntactic and semantic analyses to produce migration steps. As a proof of concept, we implement the most challenging parts using structured, parameterized Artificial Intelligence (AI) queries, which also serve as a basis for evaluation. Our results demonstrate the feasibility and usefulness of this approach. Future work will focus on completing the full migration process while reducing reliance on AI due to its current limitations in reasoning. We also plan to evaluate the framework on real-world APIs to assess its effectiveness and general applicability.

Druh

D - Stať ve sborníku

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)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)

ISBN

978-83-973291-6-4

ISSN

2300-5963

e-ISSN

2300-5963

Počet stran výsledku

9

Strana od-do

155-163

Název nakladatele

Polish Information Processing Society

Místo vydání

Katowice

Místo konání akce

Kraków

Datum konání akce

14. 9. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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