Supporting Software Process Performance Analysis through a Knowledge-based Environment

被引：0

作者：

Lessa Schots, Natalia Chaves ^{[1
]}

Goncalves, Taisa Guidini ^{[1
]}

Magalhaes, Rodrigo Figueiredo ^{[1
]}

Rocha, Ana Regina ^{[1
]}

Santos, Gleison ^{[2
]}

de Oliveira, Kathia Marcal ^{[3
]}

机构：

[1] Univ Fed Rio de Janeiro, COPPE, Rio De Janeiro, Brazil

[2] Univ Fed Estado Rio de Janeiro UNIRIO, Programa Posgrad Informat, Rio De Janeiro, Brazil

[3] Univ Valenciennes, Lab LAMIH, Valenciennes, France

来源：

PROCEEDINGS OF THE 2014 XL LATIN AMERICAN COMPUTING CONFERENCE (CLEI) | 2014年

关键词：

software process quality; software process performance analysis; high maturity; knowledge management; knowledge-based system; SYSTEM;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Software process performance analysis is a challenge for software organizations that aim to achieve higher levels of maturity models and quality standards, as it usually depends on knowledge of quantitative and statistical techniques, and experience with software processes and in the organizational context. This paper presents a knowledge-based environment proposed for supporting software organizations during the execution of process performance analysis. This environment aims to provide a body of knowledge and a set of activities and tasks for software process performance, which will be executed based on rules that guide the user during the execution of this analysis. The initial body of knowledge of this environment was collected and the set of activities and tasks was identified. The environment tools and their communication are also shown in this paper.

引用

页数：12

共 50 条

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