Open AccessArranged sample in GHLD for software reliability growth model
Author(s) -
V Rama Krishna,
T Sbhamastan Rao,
Lakshmi Deepika Roy
Publication year - 2022
Publication title -
international journal of health sciences (ijhs) (en línea)
Language(s) - English
Resource type - Journals
eISSN - 2550-6978
pISSN - 2550-696X
DOI - 10.53730/ijhs.v6ns2.5400
Subject(s) - reliability engineering , software quality , reliability (semiconductor) , computer science , software , function (biology) , sample (material) , software reliability testing , domain (mathematical analysis) , software development , engineering , mathematics , programming language , mathematical analysis , power (physics) , chemistry , physics , chromatography , quantum mechanics , evolutionary biology , biology
As the size and complexity increases, it is difficult to generate reliable software for the users. Reliability depends on number of failures which create a great loss in the software system. Though many software reliability growth models exist, but for time domain data can be handled through Arranged sample approach and one can construct NHPP leads to reliability function and formulate SRGM. In this paper, an attempt is made to present the GHLD type - I model with arranged sample as a software reliability growth model and derive the expressions for Reliability function that facilitates to compute the reliability of a product. Maximum likelihood estimation procedure is used to estimate the parameters of the model. Through the analysis of live data sets the results are exhibited.