Banca de DEFESA: BEATRIZ MAYUMI ANDRADE MATSUI

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : BEATRIZ MAYUMI ANDRADE MATSUI
DATE: 30/11/2022
TIME: 14:00
LOCAL: por participação remota em https://conferenciaweb.rnp.br/webconf/denise-11
TITLE:

SET OF RECOMMENDATIONS FOR IMPLEMENTING DEVOPS PRACTICES IN THE CONTEXT OF MACHINE LEARNING

PAGES: 90
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SUMMARY:

DevOps practices are increasingly present in software engineering, aiming at the automation and simplification of processes that involve the application life cycle, from its development to deployment in a production environment. For machine learning, such practices are known as MLOps (Machine Learning Operations) and aim to integrate the stages of development and operations of ML systems, including automation and monitoring for the delivery and continuous updating of the system to the end user. Studies have shown the applicability of these practices in specific contexts in the literature. However, few provide instructions to guide their implementation thoroughly, considering the entire set of factors involved in adopting MLOps – from cultural and organizational changes to the technical elements necessary for effective implementation. In this scenario, the present work proposes a set of recommendations to assist in understanding and adopting MLOps by researchers, managers, engineers, data scientists, and others involved in developing machine learning systems. The set of recommendations is developed from Systematic Literature Mapping and Design Science Research method to generate artifacts that will represent the detail and flow of the proposed recommendations. A questionnaire was also applied to validate the quality and relevance of these recommendations by professionals working with MLOps practices. The analysis of the results of the questionnaire indicated a good internal consistency of the answers, according to Cronbach's alpha calculation. The results also indicated that the recommendations and artifacts generated are relevant and of quality, having the potential to produce positive impacts in real environments involving MLOps.

BANKING MEMBERS:
Presidente - Interno ao Programa - 2976815 - DENISE HIDEKO GOYA
Membro Titular - Examinador(a) Interno ao Programa - 1918407 - DEBORA MARIA ROSSI DE MEDEIROS
Membro Titular - Examinador(a) Externo à Instituição - CARLA SILVA ROCHA AGUIAR - UNB
Membro Suplente - Examinador(a) Interno ao Programa - 3007914 - FLAVIO EDUARDO AOKI HORITA
Membro Suplente - Examinador(a) Externo ao Programa - 1600877 - JOSE ARTUR QUILICI GONZALEZ