Comparison of Hazard-Rates Considering Fault Severity Levels and Imperfect Debugging for OSS

Journals Menu

Follow SCIRP

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"Comparison of Hazard-Rates Considering Fault Severity Levels and Imperfect Debugging for OSS"
written by Taku Yanagisawa, Yoshinobu Tamura, Adarsh Anand, Shigeru Yamada,
published by Journal of Software Engineering and Applications, Vol.14 No.11, 2021

has been cited by the following article(s):

[1]	Software reliability model of open source software based on the decreasing trend of fault introduction
	Plos one, 2022

[2]	A Software Reliability Model for OSS Including Various Fault Data Based on Proportional Hazard-Rate Model
	American Journal of …, 2022

[1]	Service-oriented model-based fault prediction and localization for service compositions testing using deep learning techniques Applied Soft Computing, 2023 DOI:10.1016/j.asoc.2023.110430

[2]	Deep Learning Based on Fine Tuning with Application to the Reliability Assessment of Similar Open Source Software International Journal of Mathematical, Engineering and Management Sciences, 2023 DOI:10.33889/IJMEMS.2023.8.4.036

[3]	Service-oriented model-based fault prediction and localization for service compositions testing using deep learning techniques Applied Soft Computing, 2023 DOI:10.1016/j.asoc.2023.110430

[4]	Software reliability model of open source software based on the decreasing trend of fault introduction PLOS ONE, 2022 DOI:10.1371/journal.pone.0267171

Follow SCIRP