HLR Framework Development for Continuous Integration

Authors

  • Chaitra N. Korlahalli  PG Scholar, Computer Network Engineering, R V College of Engineering, Bangalore, Karnataka, India
  • Prof. Sandhya S.  Assistant Professor, Department of Computer Science, R V College of Engineering, Bangalore, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT1952338

Keywords:

Home Location Register (HLR), Front End(FE), Continuous Integration (CI), Sanity, Regression

Abstract

Home Location Register (HLR) and Home Subscriber Server (HSS) are the master databases which manages Second Generation (2G), Third Generation (3G) and Fourth Generation (4G) networks. The Continuous Integration (CI) process requires engineers to integrate application features into a single repository frequently. In this paper, an automated HLR framework development for testing the 2G, 3G, 4G or LTE and IMS application features is presented. The HLR framework helps to install and configure the HLR test machines. This framework helps to automate the configuration management on the test machines using Jenkins server to run Sanity and Regression. The HLR Framework Development for Continuous Integration is going to reduce the manual efforts by automating the task of Continuous Integration process such as installation, configuration, execution and generation of a report.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Chaitra N. Korlahalli, Prof. Sandhya S., " HLR Framework Development for Continuous Integration, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1276-1280, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952338