Capabilities and metrics in DevOps: A design science study

What is it about?

This article focuses on conducting design science research, including qualitative methods such as interviews, to investigate and analyze literature related to DevOps capabilities, practices, and metrics. Through the use of specific search strings and filters, the study aims to identify relevant publications in these areas for further assessment. The study aims to identify relevant publications through the use of specific search strings and filters. The results indicate that the initial dataset of publications has significantly reduced, with a smaller subset of articles selected for full-text evaluation.

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Photo by Cova Software on Unsplash

Photo by Cova Software on Unsplash

Why is it important?

This article is important in the realm of DevOps metrics, highlighting the significance of understanding and implementing measurement practices in DevOps environments. The study looked at many important metrics found through a process called Meta-Literature Review (MLR). They found that metrics are important in DevOps practices and can give useful information. The increasing number of selected papers over the years suggests a growing interest in DevOps metrics and capabilities, reinforcing the relevance and potential impact of research in this domain. Furthermore, the evolution in the distribution and growth of selected papers demonstrates a heightened interest in exploring DevOps capabilities, affirming the significance and utility of such research efforts in the field. The article underscores the growing interest and recognition of the importance of DevOps metrics, which is further supported by the increasing diversity in practitioner findings compared to scientific research outputs, indicating the potential attractiveness and utility of this research area. The inclusion of gray literature sources through MLR expands the scope of research, allowing for the inclusion of valuable insights that may not be typically considered, thereby enriching the understanding of DevOps metrics and practices.