An Evidence-Based Software Engineering Evaluation Approach

被引：0

作者：

Salehghaffari, Shahabedin ^{[1
]}

Reddivari, Sandeep ^{[2
]}

机构：

[1] Mississippi State Univ, Computat Engn, Mississippi State, MS 39762 USA

[2] Mississippi State Univ, Comp Sci & Engn, Mississippi State, MS 39762 USA

来源：

PROCEEDINGS OF THE 49TH ANNUAL ASSOCIATION FOR COMPUTING MACHINERY SOUTHEAST CONFERENCE (ACMSE '11) | 2011年

关键词：

Software project management; evidence theory; data collection; uncertainty representation; model evaluation; decision making; UNCERTAINTY; MODEL;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Evaluation of software project management is a crucial for software development organizations. However, the process of software project management is burdened, among other reasons, by various sources of uncertainty due to the lack of information for objectives of evaluation, differences in knowledge and experience of participating experts, fuzzy reviews of experts. A step-by-step algorithm for uncertainty reasoning of software project management using mathematical tools of evidence theory is presented. It is shown that the presented evidential uncertainty reasoning is very efficient for evaluating the successful level of software project management and is helpful for software development organizations to improve management.

引用

页码：300 / 301

页数：2

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