Performance testing is vital for all sorts of applications and systems, and it is essential for life-critical applications such as healthcare, medical, biotech, drug discovery systems, and mission-critical scenarios involving automobiles, aircraft, and defense. This paper presents a review of performance testing concepts and tools that are utilized in a range of business and scientific applications. Thus, the primary purpose of this work is a comparative analysis of three different tools aimed at performance testing. Performance testing is the practice of putting an application through its paces by simulating real users with a load generator in order to identify system bottlenecks (Srivastava et al., 2021). The main aim is to test for scalability, availability, and performance from both a hardware and software perspective. As part of performance testing, resource characteristics such as CPU utilization, memory usage, cache coherence, data consistency (in terms of main memory, virtual memory pages, and disk), power consumption, and network bandwidth usage are monitored and reported.
In addition, it should be noted that another goal of the work is to build own performance analysis tool. The main task is to create an application aimed at a stress test. In addition, performance testing takes into account response time and consumption linked to the router, web server, and appserver (application server). At each level of the product development process, performance analysis is required. In terms of reaction time, throughput, availability, dependability, security, scalability, and extensibility, system performance is regarded as a figure of merit. All this will be reflected in a comparative analysis of the tool created within the framework of this work with another application with similar characteristics and scope.
Consumer and b2b e-commerce platforms are getting increasingly competitive. Companies must ensure that their web-based applications can support numerous concurrent users connecting to a website or doing several online transactions (Srivastava et al., 2021). The service provider organizations must employ an application load-testing technology to ensure that such a service level is guaranteed. Thus, the carried out analysis will reveal the most successful tool that meets all the necessary standards. In addition, by learning specific indicators of other applications and applying the positive aspects in the tool, there will be a chance to create a successful sample.
The tool created within the framework of this study will have some positive aspects that various companies can use. The first feature that is considered to be achieved is better reliability. Performance testing aids in the avoidance of deadlocks, the improvement of response times, and the provision of scalability, fault tolerance, and failure recovery. Performance testing significantly decreases the time to market for major corporate applications. In general, it is appropriate to release to market after 98 percent of the high-priority criteria have been satisfactorily tested. It may enhance time-to-market by treating non-functional performance criteria as part of high-priority requirements, which results in a significant decrease in the test cycle and a lower defect rate.
It is worth noting that the created tool will aid in the management of memory issues. Memory leaks, overflows, inconsistencies in data, and byte order violations are just a few of the key issues that may be tracked, analyzed, and managed. The program will do performance testing to ensure safe software by detecting memory overflows and other resource issues in online and desktop applications. Thus, after analyzing the various existing tools, their main differences will be revealed and the positive sides and disadvantages. This will allow identifying the key components that will be needed to create the tool. Its comparison with another application will allow to determine whether it was possible to create tools with an acceptable range of functions within the framework of this work.
Reference
Srivastava, N., Kumar, U., & Singh, P. (2021). Software and performance testing tools. Journal of Informatics Electrical and Electronics Engineering, 2(1), 1-12.