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ORCIDSubhashis Chatterjee
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- affiliation: Indian School of Mines, Jharkhand, India
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2020 – today
- 2024
[j23]Subhashis Chatterjee, Deepjyoti Saha
:
Software dependability analysis under neutrosophic environment using optimized Elman recurrent neural network-based classification algorithm and Mahalanobis distance-based ranking algorithm. Ann. Oper. Res. 340(1): 83-115 (2024)- 2023
- [j22]Subhashis Chatterjee, Ananya Das:
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. 53(11): 13882-13923 (2023) - [j21]Subhashis Chatterjee, Ananya Das:
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. 27(11): 7147-7178 (2023) - 2022
- [j20]Subhashis Chatterjee, Deepjyoti Saha, Akhilesh Sharma, Yogesh Verma:
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. 312(1): 65-85 (2022) - 2021
- [j19]Subhashis Chatterjee, Deepjyoti Saha, Akhilesh Sharma:
Multi-upgradation software reliability growth model with dependency of faults under change point and imperfect debugging. J. Softw. Evol. Process. 33(6) (2021) - 2020
- [j18]Subhashis Chatterjee, Bappa Maji:
A Fuzzy Logic-Based Model for Classifying Software Modules in Order to Achieve Dependable Software. Int. J. Serv. Sci. Manag. Eng. Technol. 11(4): 45-57 (2020) - [j17]Subhashis Chatterjee, Venkata Ramana, Gajendra K. Vishwakarma:
Analysis of two-terminal network reliability based on efficient data structure. Int. J. Syst. Assur. Eng. Manag. 11(1): 15-20 (2020) - [j16]Subhashis Chatterjee, Ananya Das:
A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model. Soft Comput. 24(15): 11731-11754 (2020) - [c2]Ananya Das, Subhashis Chatterjee:
A Novel Algorithm to Detect Brain Tumor using Staged-Type-II Fuzzy Classifier. SSCI 2020: 2024-2030
2010 – 2019
- 2019
- [j15]Subhashis Chatterjee, Bappa Maji, Hoang Pham:
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. 31(3): 369-391 (2019) - [j14]Subhashis Chatterjee, Ankur Shukla:
A unified approach of testing coverage-based software reliability growth modelling with fault detection probability, imperfect debugging, and change point. J. Softw. Evol. Process. 31(3) (2019) - 2018
- [j13]Subhashis Chatterjee, Bappa Maji:
A bayesian belief network based model for predicting software faults in early phase of software development process. Appl. Intell. 48(8): 2214-2228 (2018) - [j12]Subhashis Chatterjee, Bappa Maji:
A Mahalanobis distance based algorithm for assigning rank to the predicted fault prone software modules. Appl. Soft Comput. 70: 764-772 (2018) - 2017
- [j11]Subhashis Chatterjee, Ankur Shukla:
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. 34(3): 1740017:1-1740017:21 (2017) - [j10]Subhashis Chatterjee, Shobhit Nigam, Arunava Roy:
Software fault prediction using neuro-fuzzy network and evolutionary learning approach. Neural Comput. Appl. 28(S-1): 1221-1231 (2017) - 2016
- [j9]Subhashis Chatterjee, Ankur Shukla:
Effect of Test Coverage and Change Point on Software Reliability Growth Based on Time Variable Fault Detection Probability. J. Softw. 11(1): 110-117 (2016) - [j8]Subhashis Chatterjee, Bappa Maji:
A new fuzzy rule based algorithm for estimating software faults in early phase of development. Soft Comput. 20(10): 4023-4035 (2016) - [c1]Sandeep Singh, Aman Verma, Subhashis Chatterjee, Venkata Ramana:
An efficient methodology to solve the K-terminal network reliability problem. RAIT 2016: 25-28 - 2015
- [j7]Subhashis Chatterjee, Jeetendra B. Singh, Arunava Roy:
A structure-based software reliability allocation using fuzzy analytic hierarchy process. Int. J. Syst. Sci. 46(3): 513-525 (2015) - [j6]Subhashis Chatterjee, Arunava Roy:
Novel Algorithms for Web Software Fault Prediction. Qual. Reliab. Eng. Int. 31(8): 1517-1535 (2015) - [j5]Subhashish Chatterjee, Arunava Roy:
Application of non-decimated wavelet packet transfer function in web error prediction. Int. J. Syst. Assur. Eng. Manag. 6(4): 407-433 (2015) - 2014
- [j4]Subhashish Chatterjee, Arunava Roy:
Web software fault prediction under fuzzy environment using MODULO-M multivariate overlapping fuzzy clustering algorithm and newly proposed revised prediction algorithm. Appl. Soft Comput. 22: 372-396 (2014)
2000 – 2009
- 2004
- [j3]Subhashis Chatterjee, Ravindra Babu Misra, Syed Samsul Alam:
N-version programming with imperfect debugging. Comput. Electr. Eng. 30(6): 453-463 (2004)
1990 – 1999
- 1997
- [j2]Subhashis Chatterjee, Ravindra Babu Misra, Syed Samsul Alam:
Prediction of software reliability using an auto regressive process. Int. J. Syst. Sci. 28(2): 211-216 (1997) - [j1]Subhashis Chatterjee, Ravindra Babu Misra, Syed Samsul Alam:
Joint effect of test effort and learning factor on software reliability and optimal release policy. Int. J. Syst. Sci. 28(4): 391-396 (1997)
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