( en | de | ru )

 

Disambiguation of "Chatterjee, Subhashis"

Author of the publication

copydeleteadd this publication to your clipboard
An efficient methodology to solve the K-terminal network reliability problem.

, , , and . RAIT, page 25-28. IEEE, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Subhashis Gangopadhyay

Gudrun Chatterjee

Amitava Chatterjee

Daniel Chatterjee

Indranil Chatterjee

 

Other publications of authors with the same name

A new fuzzy rule based algorithm for estimating software faults in early phase of development., and . Soft Comput., 20 (10): 4023-4035 (2016)A Mahalanobis distance based algorithm for assigning rank to the predicted fault prone software modules., and . Appl. Soft Comput., (2018)A bayesian belief network based model for predicting software faults in early phase of software development process., and . Appl. Intell., 48 (8): 2214-2228 (2018)An Ideal Software Release Policy for an Improved Software Reliability Growth Model Incorporating Imperfect Debugging with Fault Removal Efficiency and Change Point., and . Asia Pac. J. Oper. Res., 34 (3): 1740017:1-1740017:21 (2017)Multi-upgradation software reliability growth model with dependency of faults under change point and imperfect debugging., , and . J. Softw. Evol. Process., (2021)Prediction of software reliability using an auto regressive process., , and . Int. J. Syst. Sci., 28 (2): 211-216 (1997)Analysis of two-terminal network reliability based on efficient data structure., , and . Int. J. Syst. Assur. Eng. Manag., 11 (1): 15-20 (2020)A unified approach of testing coverage-based software reliability growth modelling with fault detection probability, imperfect debugging, and change point., and . Journal of Software: Evolution and Process, (2019)A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model., and . Soft Comput., 24 (15): 11731-11754 (2020)Software fault prediction using neuro-fuzzy network and evolutionary learning approach., , and . Neural Comput. Appl., 28 (S-1): 1221-1231 (2017)