Purpose The research aims to develop an assessment framework that evaluates critical
success factors (CSFs) for the Quality 4.0 (Q 4.0) transition among Indian firms …

Serverless computing can favor the emergence of complex and error-prone applications. In
order to gain observability in such applications, distributed tracing can be used. However, as …

Harnessing remote computation power over the Internet without the need for expensive
hardware and making costly services available to mass users at a marginal cost gave birth …

Most existing large distributed systems have poor observability and cannot use the full
potential of machine learning-based behavior analysis. The system logs, which contain the …

Background: Cloud-native software systems often have a much more decentralized structure
and many independently deployable and (horizontally) scalable components, making it …

Observability is important to ensure the reliability of microservice applications. These
applications are often prone to failures, since they have many independent services …

A microservice architecture has become the dominant direction for designing the building
blocks of large-scale, distributed software systems. However, the dynamic and changing …

When implementing a software system, two crucial metrics come into play: the degree of
interdependence between modules, known as coupling, and the extent to which the …

Background. Technical debt (TD) has long been one of the key factors influencing the
maintainability of software products. It represents technical compromises that sacrifice long …

In the age of increasing process automation and data-driven decision-making, ensuring the
reliability, transparency and usability of data is of paramount importance. In this context, the …