"Improved Genetic Programming Algorithm Applied to Symbolic Regression and Software Reliability Modeling"
written by Yongqiang ZHANG, Huifang CHENG, Ruilan YUAN,
published by Journal of Software Engineering and Applications, Vol.2 No.5, 2009
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Mathematical Modeling of Intestinal Iron Absorption Using Genetic Programming
PLOS ONE, 2017
[2] Application of soft computing techniques for software reliability prediction
2017
[3] Software Reliability Using SPRT: Burr Type III Process Model
International Journal of Electrical & Computer Engineering (2088-8708), 2016
[4] Software Reliability Using SPRT: Burr Type III Process Model.
2016
[5] Software Reliability Growth Models, Tools and Data Sets-A Review
Proceedings of the 9th India Software Engineering Conference, 2016
[6] Вероятностные модели и методы оценивания надежности программных средств с учетом вторичных дефектов
2015
[7] Reliability in open source software
Doctoral dissertation, Politecnico di Torino, 2014
[8] Programação Genética para Predição de Séries Temporais Aplicados a Mercados Financeiros
Doctoral dissertation, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL, 2013
[9] A comparative analysis of software reliability growth models using defects data of closed and open source software
Software Engineering Workshop (SEW), 2012 35th Annual IEEE, 2012
[10] Research on Software Reliability Assessment with Optimum Reserved Strategy Genetic Programming.
Journal of Convergence Information Technology, 2012
[11] Research on Software Reliability Assessment with Optimum Reserved Strategy Genetic Programming
Journal of Convergence Information Technology (JCIT), 2012
[12] An empirical study of reliability growth of open versus closed source software through software reliability growth models
Software Engineering Conference (APSEC), 2012 19th Asia-Pacific. IEEE, 2012
[13] A Software Reliability GEP Model Based on Usage Profile
TELKOMNIKA Indonesian Journal of Electrical Engineering, 2012
[14] A building block conservation and extension mechanism for improved performance in Polynomial Symbolic Regression tree-based Genetic Programming
Nature and Biologically Inspired Computing (NaBIC), 2012 Fourth World Congress on. IEEE, 2012
[15] An Empirical Study of Reliability Growth of Open versus Closed Source Software through Software Reliability Growth Models.
2012
[16] The analasis and evaluation of a new software reliability model
Computer Application and System Modeling (ICCASM), 2010 International Conference on. IEEE, 2010