Application of Machine Learning Techniques for Stastical Analysis of Software Reliability Data Sets

被引：0

作者：

Shanthi, D. ^{[1
]}

Mohanty, R. K. ^{[2
]}

Narsimha, G. ^{[3
]}

机构：

[1] GCET, Vallabh Vidyanagar, Gujarat, India

[2] KMIT, Hyderabad, Telangana, India

[3] JNTUS, Sultanpur, India

来源：

PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS) | 2018年

关键词：

software Reliability; Regression; MiniTab; Dataset; Statical Analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Selecting a right data set for right problem became a very big issue. Most of the researches doesn't know what actually a dataset and how to select a suitable dataset for their problem. In this paper we are giving a brief explanation of datasets and applying Software reliability data sets and machine learning techniques for stastical analysis under MINITAB.

引用

页码：1472 / 1474

页数：3

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