Fuzzy system for risk analysis in software projects through the attributes of quality standards iso 25000
DOI:
https://doi.org/10.14488/1676-1901.v14.i1.1620Keywords:
Software quality. Measurement of quality. Decision making. Indicator of quality of software.Abstract
With the growth in demand for products and services in the IT area, companies encounter difficulties in establishing a metric or measure of quality of services to address measurably qualitative values in their planning. In this work fuzzy logic, standard SQuaRE (measurement of the quality of software products), Likertscale, GQM method (Goal-Question-Metric -indicator of quality of Software) and the project risk analysis model of Boehm were used to assess the quality of services and decision-making, according to your demand and requests for software development. With the aim of improving the quality in the provision of services, the application is used to integrate the team and follow the life cycle of a project from its initial phase, and to assist in the comparison with the proposed schedule during the requirements elicitation.Downloads
Published
How to Cite
Issue
Section
License
The Journal reserves the right to make spelling and grammatical changes, aiming to keep a default language, respecting, however, the style of the authors.
The published work is responsibility of the (s) author (s), while the Revista Produção Online is only responsible for the evaluation of the paper. The Revista Produção Online is not responsible for any violations of Law No. 9.610 / 1998, the Copyright Act.
The journal allows the authors to keep the copyright of accepted articles, without restrictions
This work is licensed under a Creative Commons License .