Towards a Framework for Systematic API Migrations
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Towards a Framework for Systematic API Migrations
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
Number of pages
9
Pages from-to
155-163
Publisher name
Polish Information Processing Society
Place of publication
Katowice
Event location
Kraków
Event date
Sep 14, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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