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Application Performance Management in Software Development

Authors: Mohammad Nowsher Ali;

Application Performance Management in Software Development

Abstract

This study investigates the crucial function of Application Performance Management (APM) in software development, emphasizing how it affects teamwork, user pleasure, and application quality. Successful APM procedures are now necessary to guarantee the best possible application performance in a competitive environment as businesses depend increasingly on digital solutions. Examining how APM is changing and how it affects software development processes is the main goal of this research. The study's objectives are to evaluate the efficacy of APM methods, uncover important themes, and point out areas that require more investigation. The main issue addressed is the lack of knowledge on the long-term effects of APM on business results and the difficulties that businesses encounter when implementing APM methods. The approach used in this study is qualitative and is based on secondary data collected from industry reports, expert analyses, and existing literature. The main conclusions show that APM is included in DevOps procedures, proactive monitoring is becoming more prevalent, and user-centric metrics are prioritized. Nonetheless, there are still issues with tool selection and use. One of the limitations of this study is using secondary data, which might not fully represent the subtleties of APM practices. The practical implications emphasize the value of implementing cutting-edge monitoring systems and encouraging teamwork. In contrast, the theoretical implications point to the necessity for additional study into the long-term impacts of APM.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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