Scrutinzing Automated Load Testing Via Blazmeter, Apache Jmeter and HP Loadrunner
Pirah Memon, Sania Bhatti, Amirita Dewani, Tahseen Hafiz · International Journal of Advanced Studies · 2018
Tthe current state of art and recent trends signify the applicability of software systems in innumerable contexts. The complete Software Engineering process encompasses various conventional testing techniques to avert malfunctions and ensure adequate quality. Many of the software systems when put into practice, provide services to hundreds and thousands of end users concurrently. Hence it is immensely important to conduct Load testing to affirm sustainability and scalability of such systems under huge load. The exposure of asynchronous load testing tools for building interactive testing processes gave precedence to the development of rich online load testing tools. There are various online load testing tools such as Neoload, Webload, OpenSTA, Apache JMeter, HP loadrunner and Test Studio. In this paper we have analyzed the performance of BlazeMeter, Apache JMeter, and HP loadrunner. The automated load testing tools use script for testing the applications, data services and apps. In this work, the performance evaluation of three load testing tools is achieved based on response time, number of samples, aggregate reports, latency, number of hits and throughput. The graphical representation of results perceptibly depicts the efficiency of BlazeMeter tool compared to Apache JMeter and HP loadrunner. As discussed in results section, BlazeMeter supports maximum number of samples with minimum response time, maximum number of hits and minimum latency. Hence our empirical study shows the proposed approach can decrease the cost of performance testing and helps to reveal potential performance issues.