Subhashis Chatterjee

Orcid: 0000-0001-7908-6705

Affiliations:
  • Indian School of Mines, Jharkhand, India


According to our database1, Subhashis Chatterjee authored at least 25 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Software dependability analysis under neutrosophic environment using optimized Elman recurrent neural network-based classification algorithm and Mahalanobis distance-based ranking algorithm.
Ann. Oper. Res., September, 2024

2023
An ensemble algorithm using quantum evolutionary optimization of weighted type-II fuzzy system and staged Pegasos Quantum Support Vector Classifier with multi-criteria decision making system for diagnosis and grading of breast cancer.
Soft Comput., June, 2023

An ensemble algorithm integrating consensus-clustering with feature weighting based ranking and probabilistic fuzzy logic-multilayer perceptron classifier for diagnosis and staging of breast cancer using heterogeneous datasets.
Appl. Intell., June, 2023

2022
Reliability and optimal release time analysis for multi up-gradation software with imperfect debugging and varied testing coverage under the effect of random field environments.
Ann. Oper. Res., 2022

2021
Multi-upgradation software reliability growth model with dependency of faults under change point and imperfect debugging.
J. Softw. Evol. Process., 2021

2020
A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model.
Soft Comput., 2020

Analysis of two-terminal network reliability based on efficient data structure.
Int. J. Syst. Assur. Eng. Manag., 2020

A Fuzzy Logic-Based Model for Classifying Software Modules in Order to Achieve Dependable Software.
Int. J. Serv. Sci. Manag. Eng. Technol., 2020

A Novel Algorithm to Detect Brain Tumor using Staged-Type-II Fuzzy Classifier.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019
A unified approach of testing coverage-based software reliability growth modelling with fault detection probability, imperfect debugging, and change point.
J. Softw. Evol. Process., 2019

A fuzzy rule-based generation algorithm in interval type-2 fuzzy logic system for fault prediction in the early phase of software development.
J. Exp. Theor. Artif. Intell., 2019

2018
A Mahalanobis distance based algorithm for assigning rank to the predicted fault prone software modules.
Appl. Soft Comput., 2018

A bayesian belief network based model for predicting software faults in early phase of software development process.
Appl. Intell., 2018

2017
Software fault prediction using neuro-fuzzy network and evolutionary learning approach.
Neural Comput. Appl., 2017

An Ideal Software Release Policy for an Improved Software Reliability Growth Model Incorporating Imperfect Debugging with Fault Removal Efficiency and Change Point.
Asia Pac. J. Oper. Res., 2017

2016
A new fuzzy rule based algorithm for estimating software faults in early phase of development.
Soft Comput., 2016

Effect of Test Coverage and Change Point on Software Reliability Growth Based on Time Variable Fault Detection Probability.
J. Softw., 2016

An efficient methodology to solve the K-terminal network reliability problem.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

2015
Application of non-decimated wavelet packet transfer function in web error prediction.
Int. J. Syst. Assur. Eng. Manag., 2015

Novel Algorithms for Web Software Fault Prediction.
Qual. Reliab. Eng. Int., 2015

A structure-based software reliability allocation using fuzzy analytic hierarchy process.
Int. J. Syst. Sci., 2015

2014
Web software fault prediction under fuzzy environment using MODULO-M multivariate overlapping fuzzy clustering algorithm and newly proposed revised prediction algorithm.
Appl. Soft Comput., 2014

2004
N-version programming with imperfect debugging.
Comput. Electr. Eng., 2004

1997
Joint effect of test effort and learning factor on software reliability and optimal release policy.
Int. J. Syst. Sci., 1997

Prediction of software reliability using an auto regressive process.
Int. J. Syst. Sci., 1997


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