COMPARATIVE STUDY OF TESTING TOOLS BLAZEMETER AND APACHE JMETER

Authors

  • Pirah Memon Institute of information and communication Technology MehranUniversity of Engineering and Technology Jamshoro, Pakistan
  • Tahseen Hafiz   Department of Software Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
  • Sania Bhatti Department of Software Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
  • Saman Shahid Qureshi Institute of information and communication Technology Mehran University of Engineering and Tecnology Jamshoro, Pakistan

DOI:

https://doi.org/10.30537/sjcms.v2i1.66

Keywords:

BlazeMeter, Apache JMeter, , Automated software testing

Abstract

Abstract— Automated Testing plays a vital role in the entire development of software. Due to  growing requirements of an automated testing diverse range of testing tools are available. From literature, it is observed that a number of automated testing tools are studied and compared however, this is the first time that Apache JMeter and BlazeMeter are compared. The objective of this paper is to compare load testing tools: Apache JMeter and BlazeMeter based on the criteria such as performance, latency, size, error percent, duration count, number of hits and response time. This paper focuses on the analysis of the performance and functionality that minimizes the software cost and resources. After performing experiments, it is proved that the performance of BlazeMeter is better than Apache JMeter with respect to all parameters.

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Author Biographies

Pirah Memon, Institute of information and communication Technology MehranUniversity of Engineering and Technology Jamshoro, Pakistan

 

 

Sania Bhatti, Department of Software Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan

 

 

 

Saman Shahid Qureshi, Institute of information and communication Technology Mehran University of Engineering and Tecnology Jamshoro, Pakistan

 

 

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Published

2018-06-26

Issue

Vol. 2 No. 1 (2018): January - June 2018

Section

Research Articles

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