Optimizing software reliability growth models through simulated annealing algorithm: parameters estimation and performance analysis

In artificial intelligence (AI), optimization techniques are used to solve several problems in different fields. One of these areas is software reliability verification, which is an important part of software products, as it helps determine how reliable the software is to complete its functions. Thi...

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Vydané v:	The Journal of supercomputing Ročník 80; číslo 11; s. 16173 - 16201
Hlavní autori:	Bahnam, Baydaa Sulaiman, Dawwod, Suhair Abd, Younis, Mohammed Chachan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.07.2024 Springer Nature B.V
Predmet:	Artificial intelligence Compilers Computer Science Failure Growth models Interpreters Optimization algorithms Parameter estimation Particle swarm optimization Processor Architectures Programming Languages Search algorithms Simulated annealing Software reliability Delayed S-shaped model Simulated annealing algorithm (SA) Artificial intelligence (AI) Power model Musa-Okumoto logarithmic model Swarm intelligence (SI) Software reliability growth models (SRGMs) Parameters estimation Comparative analysis
ISSN:	0920-8542, 1573-0484
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