A software reliability growth model considering testing coverage subject to field environment

Rani, Sulekha; Agarwal, Praveen; Jain, Madhu; Solanki, R.M.

doi:10.1504/ijmor.2021.112944

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the differences and exclusivity of the cloud computing architecture, each major cloud testing service provider has its own standards and specifications when studying the testing problems in the cloud environment, which directly leads to poor alignment of cloud testing standards and environments, and different test results will be obtained when tests are performed in different test environments [2].…”

Section: Introductionmentioning

confidence: 99%

Performance Test and Improvement of Computer Network Virtualization Software in Cloud Computing Environment

Liu

2022

Security and Communication Networks

View full text Add to dashboard Cite

In order to make up for the problems of inconveniences, unavailability, differences, and exclusivity in the performance test of the computer virtual network software in the cloud computing environment, a method of building a distributed system performance test platform based on cloud computing is proposed. The distributed system performance test method based on the decision tree, the common performance index test method, and the resource scheduling method in the cloud environment is mainly adopted, and the cloud computing and the automatic performance test technology are combined so as to build a prototype system of the cloud performance test platform. Experimental data show that the CPU utilization and the memory utilization can be reduced to 32% and 30%, respectively, by using this method. It is about 30 times better than the result before application. The results show that it can improve the efficiency, availability, and convenience of software performance test greatly. Also, it also can improve the software performance to facilitate people’s life and work in the cloud computing environment.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance Test and Improvement of Computer Network Virtualization Software in Cloud Computing Environment

Liu

2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Furthermore, they usually use the exponential or S‐shaped growth distribution functions to formulate the software problems. In recent years, various models proposed by different authors, including Tandon and Aggarwal, 8 Rani et al, 9 and Dhaka et al, 10 have been widely applied to estimate the expected number of software faults in the development cycle.…”

Section: Literature Reviewmentioning

confidence: 99%

A robust optimization model for software development costs considering time value of money

Namdar,

Noorossana

2023

J Software Evolu Process

View full text Add to dashboard Cite

Determining “software release time” and “testing stop time” is a significant challenge in software projects, as both greatly affect the software cost and reliability. To overcome the drawbacks of past research, this study presents a novel robust optimization approach considering the interval estimation of input parameters for a software reliability growth model. It aims to detect the optimal “software release time” and “testing stop time” to minimize software development costs in an uncertain environment. Additionally, it considers the time value of money for calculating model costs by considering the interest rate and inflation. Generally, this research is the first attempt to use a robust approach for optimizing the software development cost considering the time value of money. The paper investigates the model efficiency in practical situations through a case study and analyzes the effect of the discounted rate and parameters uncertainty on the development cost using a software reliability growth model. The results confirm the prominent role of uncertain parameters and the discounted rate value on software development cost. They also indicate that the proposed mathematical model is more consistent with the actual situation and flexible than the past models with deterministic parameters.

show abstract

Forecasting the Budget Required for Software under Development

Rattan

Panwar

Mittal

et al. 2021

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)

View full text Add to dashboard Cite

A software reliability growth model considering testing coverage subject to field environment

Cited by 4 publications

References 0 publications

Performance Test and Improvement of Computer Network Virtualization Software in Cloud Computing Environment

Performance Test and Improvement of Computer Network Virtualization Software in Cloud Computing Environment

A robust optimization model for software development costs considering time value of money

Forecasting the Budget Required for Software under Development

Contact Info

Product

Resources

About