Software process de¯nition requires choosing the process elements that appropriately ful¯l the tailoring requirements, such as to prevent risks or to satisfy quality goals. The selection of appropriate process elements is usually done manually, making this process complex, timeconsuming and error-prone. Our main objective is to de¯ne a systematic approach to tailor software process and a support tool to simplify and to support the tailoring process by improving the selection process of reusable process elements. We developed a systematic approach to tailor software process based on software process architectures and lines. This approach selects the process elements that appropriately match the tailoring requirements. A web tool was developed to support the use of the proposed approach. We concluded that the approach aids process engineer to make decisions for selecting a set of process elements suitable to the tailoring requirements and to the project context.
Model-Driven Engineering (MDE) é uma abordagem cujos modelos assumem, no lugar do código, o papel de principais artefatos no processo de software. Esta alteração de paradigma cria a necessidade da adaptação de práticas de avaliação da qualidade de modelos dentro dos processos. Este artigo propõe uma abordagem para avaliação da qualidade de modelos em processos MDE capaz de guiar os projetistas na busca por metas de qualidade considerando o propósito dos modelos dentro do ciclo de vida dos processos. A qualidade é definida e avaliada a partir de um framework de qualidade adaptado às necessidades MDE por este trabalho. Para validar a proposta é realizada uma adaptação em um processo MDE.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.