Results 81 to 90 of about 21,044,990 (111)

Software Reliability Analysis of NASA Space Flight Software: A Practical Experience. [PDF]

IEEE Int Conf Softw Qual Reliab Secur, 2016
Sukhwani H, Alonso J, Trivedi KS, Mcginnis I.   +3 more
europepmc   +1 more source

PERMMA: Enhancing parameter estimation of software reliability growth models: A comparative analysis of metaheuristic optimization algorithms. [PDF]

PLoS One
Pradhan V, Patra A, Jain A, Jain G, Kumar A, Dhar J, Bandyopadhyay A, Mallik S, Ahmad N, Badawy AS.   +9 more
europepmc   +1 more source

Applying a system dynamics approach for decision-making in software testing projects. [PDF]

PLoS One
Li W, Fang CC.
europepmc   +1 more source

Analysis of incorporating modified Weibull model fault detection rate function into software reliability modeling. [PDF]

Heliyon
Sindhu TN, Shafiq A, Hammouch Z, Hassan MKH, Abushal TA.   +4 more
europepmc   +1 more source

A Hybrid LLM-SRGM Framework for AI-Enabled Reliability Assessment in Safety-Critical Software Systems

Ensuring the reliability of software intensive and safety critical systems is a persistent challenge across aerospace, defense, transportation, and other mis- sion focused domains.
Stone, Caleb, Jadhav, Shrenik
core   +1 more source

BAYESIAN INFERENCE FOR A SOFTWARE RELIABILITY MODEL USING METRICS INFORMATION. [PDF]

In this paper, we are concerned with predicting the number of faults N and the time to next failure of a piece of software. Information in the form of software metrics data is used to estimate the prior distribution of N via a Poisson regression model ...
M.T. Rodríguez Bernal, Michael P. Wiper
core  

Discrete software reliability growth model based on maximum entropy principle with higher order polynominial moment contraints

, 2014
Software managers depend on software reliability growth models (SRGM) during the testing phase in order to gauge when an application will be ready for release.
Panlop Zeephongsekul (19971321), L Fiondella (13972350)   +1 more
core  

A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses. [PDF]

J R Stat Soc Ser A Stat Soc
Pillinger R, Steele F, Leckie G, Jenkins J.   +3 more
europepmc   +1 more source

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A novel CRITIC‐TOPSIS approach for optimal selection of software reliability growth model (SRGM)

Quality and Reliability Engineering International, 2022
AbstractVarious Software Reliability Growth Models (SRGMs) have been developed over last five decades to estimate the failure rate, software reliability and remaining number of faults in the software during testing phase of software development life cycle.
Palak Saxena, Vijay Kumar 0005, Mangey Ram   +2 more
openaire   +3 more sources