Comparative Study of Load Testing Tools: Apache JMeter, HP LoadRunner, Microsoft Visual Studio (TFS), Siege

  • Rabiya Abbas Department of Software Engineering , Bahria University Islamabad, Pakistan Islamabad Pakistan
  • Zainab Sultan Department of Software Engineering , Bahria University Islamabad, Pakistan Islamabad Pakistan
  • Shahid Nazir Bhatti  Department of Software Engineering , Bahria University Islamabad, Pakistan Islamabad Pakistan

Abstract

Software testing is the process of verifying and validating the user’s requirements. Testing is ongoing process during whole software development. Software testing is characterized into three main types. That is, in Black box testing, user doesn’t know domestic knowledge, internal logics and design of system. In white box testing, Tester knows the domestic logic of code. In Grey box testing, Tester has little bit knowledge about the internal structure and working of the system. It is commonly used in case of Integration testing.Load testing helps us to analyze the performance of the system under heavy load or under Zero load. This is achieved with the help of a Load Testing Tool. The intention for writing this research is to carry out a comparison of four load testing tools i.e. Apache JMeter, LoadRunner, Microsoft Visual Studio (TFS), Siege based on certain criteria  i.e. test scripts generation , result reports, application support, plug-in supports, and cost . The main focus is to study these load testing tools and identify which tool is better and more efficient . We assume this comparison can help in selecting the most appropriate tool and motivates the use of open source load testing tools.

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Author Biography

Shahid Nazir Bhatti , Department of Software Engineering , Bahria University Islamabad, Pakistan Islamabad Pakistan

 

 

Published
2017-12-31
How to Cite
ABBAS, Rabiya; SULTAN, Zainab; BHATTI , Shahid Nazir. Comparative Study of Load Testing Tools: Apache JMeter, HP LoadRunner, Microsoft Visual Studio (TFS), Siege. Sukkur IBA Journal of Computing and Mathematical Sciences, [S.l.], v. 1, n. 2, p. 102-108, dec. 2017. ISSN 2522-3003. Available at: <http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/24>. Date accessed: 27 apr. 2018. doi: https://doi.org/10.30537/sjcms.v1i2.24.