SELECTING AN EFFECTIVE MICROSERVICES DECOMPOSITION APPROACH: A DECISION FRAMEWORK | IJCSE Volume 9 – Issue 5 | IJCSE-V9I5P7

This research presents a comprehensive exploration of diverse microservices decomposition techniques. This research identifies the sequential steps integral to each decomposition method through a meticulous study and analysis of multiple techniques. Moreover, the paper integrates insights gleaned from a select group of experts. These experts offer valuable perspectives on software characteristics and elucidate the types of example software ideally suited for distinct decomposition types. They also validate the time and cost implications associated with each decomposition technique. Drawing from these multifaceted insights, the paper culminates in creating an algorithm. This algorithm is intricately designed based on collective knowledge and discussions surrounding software traits, such as suitability, time, and cost considerations linked to various decomposition techniques. This algorithm helps developers choose the most effective decomposition approach for microservices.

Within this research paper, our focus revolves around an in-depth analysis of various decomposition processes pivotal for the transition from a monolithic architecture to microservices. This approach aims to determine the most fitting decomposition process for this migration. To ensure a clear perspective, we engage multiple software experts, tapping into their expertise. As a conclusion of this collaborative effort, we meticulously designed an algorithm to select the most suitable decomposition method. This research paper makes a strong contribution by offering a thorough analysis, consulting with experts, developing a practical algorithm, and focusing on efficiency. Its impact extends beyond academic discourse, aiming to provide actionable insights for practitioners in the field of software architecture transition. The research paper focuses on numerous decomposition approaches, acknowledging that it doesn’t encompass all existing types. Additionally, it recognizes the vast spectrum of decomposition systems available. The paper assesses software characteristics based on input from various experts. It suggests the potential for involving additional experts to enhance result accuracy, providing a direction for further research. Furthermore, the inclusion of more software professionals could refine time and cost estimations, especially when supplemented by practical examples.

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