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
收藏
页码：1472 / 1474
页数：3
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