期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2018
卷号：9
期号：3
语种：English
出版社：Ayushmaan Technologies
摘要：The normal software system reliability estimation ways typically believe assumptions like statistical distributions that are typically unrealistic. The power to predict the amount of faults throughout development part and a correct testing method helps in specifying timely unharnessed of software system and economical management of project resources. The normal approach of fault prediction using software system reliability growth models needs an outsized variety of failures which could not be on the market at the start of the testing. models when compared for results, revealed that the Goel-Okumoto model performed better than Yamada Delayed S-Shaped model for estimation of failures for given data.
