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Software component certification: A survey. Crnkovic, I.
Component-based development process and component lifecycle. Kumar, S. An enhanced model for early software reliability prediction using software engineering metrics. Rodrigues, G. Sensitivity analysis for a scenario — based Reliability prediction Model.
Wu, H. Construct operation model based on process dababase for software reliability prediction. Twitter Facebook Linkedin Youtube.
On the Development of Discrete Software Reliability Growth Models | SpringerLink
User Username Password Remember me. Volume 10, Issue 1, January-March Volume 9, Issue 3, July-September Volume 9, Issue 2, April-June Volume 9, Issue 1, January-March Volume 8, Issue 3, July-September Volume 8, Issue 2, April-June Volume 8, Issue 1, January-March Volume 7, Issue 3, July-September Volume 7, Issue 2, April-June Volume 7, Issue 1, January-March Volume 6, Issue 3, July-September Volume 6, Issue 2, April-June Volume 6, Issue 1, January-March Volume 5, Issue 1, January-June Therefore in such a situation, we can model the software fault detection process as a stochastic process with a continuous state space.
In this paper, we propose an ANN based software reliability growth model based on Ito type of stochastic differential equation. The proposed model integrated with the concept of stochastic differential equation performs comparatively better than the existing NHPP based model.
Cite this paper nullS. Khatri, P. Trivedi, S.
Kant and N. Goel and K. Kapur, R.
Garg and S. Yamada and Y. Lee, Y. Kim and D. Karunanithi and Y. Karunanithi, Y. Malaiya and D.
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Karunanithi, D. Whitley and Y.
Cai, L. Cai, W. Wang, Z.