@article{MAKHILLJEAS2019142318696,
    title = {The Analysis and Prediction of Software Development Cost Based on
NHPP Software Reliability Model},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {23},
    pages = {8779-8785},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.8779.8785},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.8779.8785},
    author = {Tae-Jin},
    keywords = {Erlang life time distribution,failure time data,Lindley distribution,NHPP reliability model,software
development cost,software release time},
    abstract = {It is very important to find the optimal software development cost along with release timeduring the
software development process. Therefore, in this study, we analyze and predict software development cost and
release time using NHPP reliability models. As a result first, the cost curves of all models proposed in this study
decrease at the initial stage but gradually increase at the latter stage when the release time passes. Second, prior
to software release, if the cost of testing per unit time and the cost of removing one defect found during the
testing process increased, the development cost also increased but the release time remained unchanged. Third,
after the software release, if the cost of correcting the faults found by the operator increases at the operating
stage, the development cost is reduced but the release time is delayed. Fourth as a result of comparing the
models applied in this study, Lindley Model is the best model because it has high reliability for mission time
in the future, low cost of software development and quick release time. Through this study, we were able to
present software developers and operators with the necessary prior information to predict the economic
software development cost and the optimal software release time.}
    }