Fuzzy system for risk analysis in software projects through the attributes of quality standards iso 25000

Authors

  • Chau Sen Shia UNIP Universidade Paulista
  • Ivanir Costa

DOI:

https://doi.org/10.14488/1676-1901.v14.i1.1620

Keywords:

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.

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Author Biography

Chau Sen Shia, UNIP Universidade Paulista

Professor Computação UNIP

Published

2014-02-15

How to Cite

Shia, C. S., & Costa, I. (2014). Fuzzy system for risk analysis in software projects through the attributes of quality standards iso 25000. Revista Produção Online, 14(1), 321–343. https://doi.org/10.14488/1676-1901.v14.i1.1620

Issue

Section

Papers