DevOpsis a collaborative and multidisciplinary organizational effort to automate continuous
delivery of new software updates while guaranteeing their correctness and reliability. The …

Software Engineering (SE) researchers are increasingly paying attention to organizational
and human factors. Rather than focusing only on variables that can be directly measured …

Developer productivity is about more than an individual's activity levels or the efficiency of
the engineering systems relied on to ship software, and it cannot be measured by a single …

As cyber threats become increasingly sophisticated, traditional cybersecurity approaches
struggle to keep pace with emerging risks. This research paper explores the application of …

Martin Fowler's guide to reworking bad code into well-structured code Refactoring improves
the design of existing code and enhances software maintainability, as well as making …

This paper proposes DevOps practices for machine learning application, integrating both the
development and operation environment seamlessly. The machine learning processes of …

Context. To meet the demands of customers and market, Information Technology (IT)
organizations are seeking to implement DevOps. While many succeed in DevOps adoption …

In recent years, the proliferation of big data has transformed various sectors, necessitating
the development of advanced techniques for efficient data processing and analysis. This …

In the era of artificial intelligence (AI) and machine learning (ML), the significance of high-
quality and accessible data cannot be overstated. This paper explores the essential …

Efficient change control and configuration management is imperative for addressing the
emerging security threats in cloud infrastructure. These threats majorly exploit …