2-Dimensional Multi-Release Software Reliability Modelling considering Fault Reduction Factor under imperfect debugging

Abstract

Introduction: The present research was conducted at the University of Delhi, India in 2017.Methods: We develop a software reliability growth model to assess the reliability of software products released in multiple versions under limited availability of resources and time. The Fault Reduction Factor (frf) is considered to be constant in imperfect debugging environments while the rate of fault removal is given by Delayed S-Shaped model.Results: The proposed model has been validated on a real life four-release dataset by carrying out goodness of fit analysis. Laplace trend analysis was also conducted to judge the trend exhibited by data with respect to change in the system’s reliability.Conclusions: A number of comparison criteria have been calculated to evaluate the performance of the proposed model relative to only time-based multi-release Software Reliability Growth Model (srgm).Originality: In general, the number of faults removed is not the same as the number of failures experienced in given time intervals, so the inclusion of frf in the model makes it better and more realistic. A paradigm shift has been observed in software development from single release to multi release platform.Limitations: The proposed model can be used by software developers to take decisions regarding the release time for different versions, by either minimizing the development cost or maximizing the reliability and determining the warranty policies.

Perspectives in nanoscience and nanotechnology

“…In this context it is necessary to speak of " nanotechnologies " as fields of knowledge related to controlled fabrication of nano systems or nanostructures at the 100 nm length scale in areas such as: materials science, information technologies, energy production and storage, food, water, and environment, among others. Regarding NBIC platforms, the creation of new fields of knowledge and new technological products is imminent and will radically modify lifestyles: from educational processes, through the rise of new professions and disappearance of many others, to the improvement of life expectancy [67], [68]. In conclusion, if new NBIC technological platforms bring with them something inevitable, it is not -for now -the annihilation of death, but a new industrial revolution.…”

Optimal time for management review during testing process: an approach using S-curve two-dimensional software reliability growth model

“…The first step is to mathematically model the FRP to represent the relation between the number of faults removed, resources and time utilized for testing. The model used to represent the FRP was proposed by Anand et al . (2018).…”

Software warranty cost optimization under imperfect debugging

“…Pachauri et al (2015) considered inflexion-shaped FRF for multi-release software. Anand et al (2018) presented a two-dimensional SRGM considering delayed S-shaped FRF. Aggarwal et al (2019) presented an SRGM for multi-release software systems incorporating FRF and error generation.…”

“…To formulate the optimization problem, the fault removal of the software is modeled by the NHPP-based Software Reliability Growth Model (SRGM). A number of SRGMs have been established in the literature for designing release policies and study the failure tendency of software systems (Aggarwal et al , 2017; Anand et al , 2018; Chatterjee and Shukla, 2017; Gautam et al , 2018; Huang, 2005; Pachauri et al , 2015). These policies are devised during the planning phase to ensure minimum cost involvement in the development process by maximizing the reliability of the software.…”