Paraprox: Pattern-based approximation for data parallel applications
Approximate computing is an approach where reduced accuracy of results is traded off for
increased speed, throughput, or both. Loss of accuracy is not permissible in all computing …
increased speed, throughput, or both. Loss of accuracy is not permissible in all computing …
Key issues in software reliability growth models
Background: Software Reliability Growth Models (SRGMs) are the most widely used
mathematical models to monitor, predict and assess the software reliability. They play an …
mathematical models to monitor, predict and assess the software reliability. They play an …
The Lindley Gompertz Model for Estimating the Survival Rates: Properties and Applications in Insurance
HS Mohamed, MM Ali, HM Yousof - Annals of Data Science, 2023 - Springer
This paper introduces a new extension of the Gompertz function for estimating the survival
rates. The actual survival rates from USA life tables 2015 is considered for assessment …
rates. The actual survival rates from USA life tables 2015 is considered for assessment …
Quality and reliability studies in software defect management: a literature review
AR Pai, G Joshi, S Rane - International Journal of Quality & Reliability …, 2021 - emerald.com
Purpose This paper is focused at studying the current state of research involving the four
dimensions of defect management strategy, ie software defect analysis, software quality …
dimensions of defect management strategy, ie software defect analysis, software quality …
The beta-Gompertz distribution
In this paper, we introduce a new four-parameter generalized version of the Gompertz model
which is called Beta-Gompertz (BG) distribution. It includes some well-known lifetime …
which is called Beta-Gompertz (BG) distribution. It includes some well-known lifetime …
Modeling and analysis of reliability of multi-release open source software incorporating both fault detection and correction processes
Large software systems require regular upgrading that tries to correct the reported faults in
previous versions and add some functions to meet new requirements. It is thus necessary to …
previous versions and add some functions to meet new requirements. It is thus necessary to …
Discrete Gompertz-G family of distributions for over-and under-dispersed data with properties, estimation, and applications
Alizadeh et al. introduced a flexible family of distributions, in the so-called Gompertz-G
family. In this article, a discrete analogue of the Gompertz-G family is proposed. We also …
family. In this article, a discrete analogue of the Gompertz-G family is proposed. We also …
Software reliability growth models with normal failure time distributions
This paper proposes software reliability growth models (SRGM) where the software failure
time follows a normal distribution. The proposed model is mathematically tractable and has …
time follows a normal distribution. The proposed model is mathematically tractable and has …
Universality in COVID-19 spread in view of the Gompertz function
We demonstrate that universal scaling behavior is observed in the current coronavirus
(SARS-CoV-2) spread, the COVID-19 pandemic, in various countries. We analyze the …
(SARS-CoV-2) spread, the COVID-19 pandemic, in various countries. We analyze the …
Selecting software reliability growth models and improving their predictive accuracy using historical projects data
During software development two important decisions organizations have to make are: how
to allocate testing resources optimally and when the software is ready for release. SRGMs …
to allocate testing resources optimally and when the software is ready for release. SRGMs …