Revisiting software reliability

K Sahu, RK Srivastava - … Analytics and Innovation: Proceedings of ICDMAI …, 2019 - Springer
Reliability is an important issue for deciding the quality of the software. Reliability prediction
is a statistical procedure that purpose to expect the future reliability values, based on known …

Software reliability prediction using a deep learning model based on the RNN encoder–decoder

J Wang, C Zhang - Reliability Engineering & System Safety, 2018 - Elsevier
Different software reliability models, such as parameter and non-parameter models, have
been developed in the past four decades to assess software reliability in the software testing …

Prediction of software reliability using connectionist models

N Karunanithi, D Whitley… - IEEE Transactions on …, 1992 - search.proquest.com
A number of analytical models have been proposed in recent years for modeling software
reliability growth trends. However, different models have different predictive capabilities at …

Neural-network-based approaches for software reliability estimation using dynamic weighted combinational models

YS Su, CY Huang - Journal of Systems and Software, 2007 - Elsevier
Software reliability is the probability of failure-free software operation for a specified period
of time in a specified environment. During the last three decades, many software reliability …

[PDF][PDF] Software reliability modeling using soft computing techniques: Critical review

KS Kaswan, S Choudhary, K Sharma - Journal of Information Technology …, 2015 - Citeseer
Software reliability models assess the reliability by predicting faults for the software.
Reliability is a real world phenomenon with many associated real-time problems. To obtain …

A study of incorporation of deep learning into software reliability modeling and assessment

CY Wu, CY Huang - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
Software is widely used in many application domains. The most popular software are used
by millions every day. How to accurately predict and assess the reliability of developed …

Grey-based approach for estimating software reliability under nonhomogeneous Poisson process

X Liu, N Xie - Journal of Systems Engineering and Electronics, 2022 - ieeexplore.ieee.org
Due to the randomness and time dependence of the factors affecting software reliability,
most software reliability models are treated as stochastic processes, and the non …

A neural network approach for predicting software development faults

TM Khoshgoftaar, AS Pandya, HB More - … International Symposium on …, 1992 - computer.org
Accurately predicting the number of faults in program modules is a major problem in the
quality control of a large scale software system. In this paper, the use of the neural networks …

Hybrid intelligent systems for predicting software reliability

R Mohanty, V Ravi, MR Patra - Applied Soft Computing, 2013 - Elsevier
In this paper, we propose novel recurrent architectures for Genetic Programming (GP) and
Group Method of Data Handling (GMDH) to predict software reliability. The effectiveness of …

Optimal software release scheduling based on artificial neural networks

T Dohi, Y Nishio, S Osaki - Annals of Software engineering, 1999 - Springer
The determination of the optimal software release schedule plays an important role in
supplying sufficiently reliable software products to actual market or users. In the existing …