Open AccessMicroservices Bad Smells and Automated Detection Tools
Author(s) -
Denis Pinheiro,
Eduardo Figueiredo
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbqs_estendido.2021.18555
Subject(s) - code smell , microservices , maintainability , computer science , software engineering , code refactoring , software , set (abstract data type) , architectural style , software quality , software development , architecture , programming language , operating system , cloud computing , art , visual arts
Microservice architectural style is becoming popular in the development of modern applications, but symptoms of good software quality still remain. Code smells and architectural smells (called Bad smells) are identifiable characteristics in software indicating a poor design which might affect the maintainability and understandability. The goal of this master thesis proposal is to present the plan of a review of the literature on the subject of Microservice BadSmells (MBS) and related MBS detection tools (MBSDT), consolidating the knowledge by compiling a full characterized data set of current identified MBS and evaluate the effectiveness of related existing detection tools.