A Comparison of 4-Parameter Mathematical Logistic Growth Model with Other SRGM Based on Bugs Appearing in the Software-Reference-Cited by-同舟云学术

A Comparison of 4-Parameter Mathematical Logistic Growth Model with Other SRGM Based on Bugs Appearing in the Software

Published:2022 Issue: Volume: Page:499-507
ISSN:2190-3018
Container-title:IOT with Smart Systems
language:
Short-container-title:

Author:

Singh Swati,Mehrotra Monica,Bharti Taran Singh

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3945-6_49

Reference18 articles.

1. Garg, R.P., Sharma, K., Kumar, R., Garg, R.K..: Performance analysis of software reliability models using matrix method. World Acad. Sci. Eng. Technol. 4, 31–38 (2010)

2. Sahu, K., Srivastava, R.K.: Revisiting software reliability. In: Balas, V., Sharma, N., Chakrabarti, A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol. 808. Springer, Singapore (2019)

3. Song, K.Y., Chang, I.H., Pham, H.: Optimal release time and sensitivity analysis using a new NHPP software reliability model with probability of fault removal subject to operating environments. Appl. Sci. 8(5) (2018)

4. Goel, A.L., Okumoto, K.: Time-dependent fault-detection rate model for software and other performance measures. IEEE Trans. Reliab. (28), 206–211 (1979)

5. Ohba, m.: Inflexion S-shaped software reliability growth models. In: Osaki, S., Hatoyama, Y. (eds.) Stochastic Models in Reliability Theory. Springer, Berlin, pp 144–162 (1984)

Cited by 1 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. Modeling Reliability Growth among Different Issue Types for Multi-Version Open Source Software;2023 6th International Conference on Information Systems and Computer Networks (ISCON);2023-03-03