NHPP software reliability and cost models with testing coverage-Reference-Cited by-同舟云学术

NHPP software reliability and cost models with testing coverage

Published:2003-03 Issue:2 Volume:145 Page:443-454
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Pham Hoang,Zhang Xuemei

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modelling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference31 articles.

1. A new look at statistical model identification;Akaike;IEEE Transactions on Automatic Control,1974

2. Determining the cost of a stop-testing decision;Ehrlich;IEEE Software,1993

3. Time-dependent error-detection rate model for software and other performance measures;Goel;IEEE Transaction on Reliability,1979

4. Estimating the parameters of a non-homogeneous Poisson process model for software reliability;Hossain;IEEE Transactions on Reliability,1993

5. An S-shaped software reliability growth model with two types of errors;Kareer;Microelectronics and Reliability – An International Journal,1990

Cited by 149 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing software release decisions: a TFN-based uncertainty modeling approach;International Journal of System Assurance Engineering and Management;2024-06-23

2. Modeling the impact of noise and uncertain operational environment on software release decisions considering testing coverage-based SRGM;Intelligent Decision Technologies;2024-06-19

3. Developing an Innovative Imperfect Debugging Software Reliability Growth Model with Enhanced Testing Coverage Strategies;International Journal of Reliability, Quality and Safety Engineering;2024-06-17

4. An SRGM Using Fault Removal Efficiency and Correction Lag Function;International Journal of Reliability, Quality and Safety Engineering;2024-06-11

5. Empowering software reliability: Leveraging efficient fault detection and removal efficiency;Quality Engineering;2024-05-30