Metrics and trends: a bibliometric approach to software reliability growth models

Abstract

In the contemporary landscape, software applications play an unparalleled role, infiltrating every facet of our daily lives. This pervasive influence has generated an unprecedented demand for software systems that not only exhibit efficiency but also ensure reliability and resilience. The central objective of this research is to conduct a systematic literature review, scrutinizing its practices, contributions, and potential applications in the evolving realm of software reliability growth modeling. Leveraging robust bibliometric analysis, the study extracts relevant papers from the Scopus database using targeted keywords. The research addresses key questions: (1) identification of pivotal journals, influential authors, and network map in software reliability growth modeling; (2) delineation of theme-based clusters from keyword co-occurrences; and (3) formulation of a research framework for researchers. The study's insights reveal significant publications, temporal patterns, and contemporary relevance in software reliability growth models. By identifying theme-based clusters, the research provides a roadmap for prospective scholars to explore diverse themes and frameworks, contributing to the evolving understanding of software reliability growth models.

Keywords:

• Software reliability growth model
• bibliometric analysis
• non-homogeneous Poisson process
• citation analysis

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The Authors declare that this research was conducted without any specific grant or funding support.