Optimization based machine learning algorithms for software reliability growth models
선진국방연구Software reliability is a critical factor for system performance and safety, especially in defense industries, where operational failures can have severe consequences.
Myeongguen Shin +4 more
doaj
A novel approach of NPSO on dynamic weighted NHPP model for software reliability analysis with additional fault introduction parameter. [PDF]
Heliyon, 2019 Rani P, Mahapatra GS.
europepmc +1 more source
Software Reliability Analysis of NASA Space Flight Software: A Practical Experience. [PDF]
IEEE Int Conf Softw Qual Reliab Secur, 2016 Sukhwani H +3 more
europepmc +1 more source
Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug. [PDF]
Entropy (Basel), 2019 Kumari M +6 more
europepmc +1 more source
Applying a system dynamics approach for decision-making in software testing projects. [PDF]
PLoS OneLi W, Fang CC.
europepmc +1 more source
Cost analysis of enhanced software reliability model with Weibull testing effort function using simulated annealing. [PDF]
Sci RepKomee, Pachauri B.
europepmc +1 more source
A software reliability model for open source big data systems based on Weibull-Weibull distribution. [PDF]
Sci RepWang J, Geng H, Li P.
europepmc +1 more source
Integrated machine learning and single-cell analysis reveal the prognostic and therapeutic potential of SUMOylation-related genes in ovarian cancer. [PDF]
Front ImmunolDeng Z +6 more
europepmc +1 more source
During the software testing process, it is difficult to evaluate how the fault detection will change in the future. To solve this problem, software reliability growth models (SRGM) were proposed.
Lilja, Sakarias
core
Nonhomogeneous Poisson process software reliability model incorporating initial fault diversification and dependent failures. [PDF]
Sci ProgKim YS, Song KY, Pham H, Chang IH.
europepmc +1 more source