Towards an Automated Approach to Detect Code Smells in ReScript
Abstract
Component-based development has become a dominant paradigm in front-end, with languages and frameworks evolving to support modular and reusable UI elements. While extensive research exists on detecting code smells in JAVASCRIPT frameworks like REACT, similar analyses for RESCRIPT, a statically typed functional language that compiles to JavaScript and integrates with REACT, remain unexplored. This work aims to fill this gap by presenting a prototype static analysis tool capable of detecting relevant code smells in RESCRIPT applications.References
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Zakeri-Nasrabadi, M., Parsa, S., Esmaili, E., and Palomba, F. (2023). A systematic literature review on the code smells datasets and validation mechanisms. ACM Comput. Surv., 55(13s).
Ferreira, F., Borges, H., and Valente, M. (2021). On the (un-)adoption of javascript front-end frameworks. Software: Practice and Experience, 52:947–966.
Ferreira, F. and Valente, M. T. (2023). Detecting code smells in react-based web apps. Information and Software Technology, 155:107111.
Fowler, M. (2018). Refactoring. Addison-Wesley Professional.
Walker, A., Das, D., and Cerný, T. (2020). Automated code-smell detection in microservices through static analysis: A case study. Applied Sciences, 10:1–20.
Zakeri-Nasrabadi, M., Parsa, S., Esmaili, E., and Palomba, F. (2023). A systematic literature review on the code smells datasets and validation mechanisms. ACM Comput. Surv., 55(13s).
Published
2025-09-23
How to Cite
NUNES, Maykon; BEZERRA, Carla; COUTINHO, Emanuel.
Towards an Automated Approach to Detect Code Smells in ReScript. In: WORKSHOP ON SOFTWARE ENGINEERING FOR FUNCTIONAL PROGRAMMING (SE4FP), 1. , 2025, Recife/PE.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 45-50.
DOI: https://doi.org/10.5753/se4fp.2025.14841.
