International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Software Engineering | United States of America | Volume 13 Issue 9, September 2024 | Popularity: 4.9 / 10


     

Selecting Effective Metrics for Evaluating and Measuring Software Application Performance

Krishna Mohan Pitchikala


Abstract: The success of a software application depends on how well it measures up against Key Performance Indicators (KPIs). User Acceptance Testing (UAT) is the final testing stage where end - users assess the software to confirm that it meets their needs and is ready for release. While UAT plays a crucial role in determining whether the software application meets user expectations, it alone is not sufficient either to guarantee a software's success or to evaluate the application's performance. To ensure ongoing success, it is essential to have metrics that continuously monitor and evaluate the application's performance throughout its lifecycle. This continuous measurement helps proactively identify and fix issues, ensuring that the software consistently meets the required standards. Performance evaluation in software development is complex due to the lack of universal guidelines for selecting performance metrics. These metrics vary depending on the specific characteristics of the application and the business goals it aims to achieve. Choosing the right set of metrics is crucial for accurately assessing how well the software performs. These metrics should be tailored to the unique aspects of the application and aligned with the objectives of the business. This paper explores the fundamental principles and approaches that guide the selection of relevant metrics for evaluating and measuring software performance. By understanding these principles, organizations can better ensure that their software applications not only meet functional requirements but also deliver a reliable and optimal user experience.


Keywords: software performance, key performance indicators, user acceptance testing, performance metrics, software evaluation


Edition: Volume 13 Issue 9, September 2024


Pages: 223 - 227



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Krishna Mohan Pitchikala, "Selecting Effective Metrics for Evaluating and Measuring Software Application Performance", International Journal of Science and Research (IJSR), Volume 13 Issue 9, September 2024, pp. 223-227, https://www.ijsr.net/getabstract.php?paperid=SR24903025128

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