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subhashis chatterjee
subhashis chatterjee
Associate Professor, Department of Applied Mathematics, Indian School of Mines, India.
Verified email at iitism.ac.in - Homepage
Title
Cited by
Cited by
Year
Improved ratio and product exponential type estimators
LN Upadhyaya, HP Singh, S Chatterjee, R Yadav
Journal of statistical theory and practice 5, 285-302, 2011
692011
Joint effect of test effort and learning factor on software reliability and optimal release policy
S Chatterjee, RB Misra, SS Alam
International Journal of Systems Science 28 (4), 391-396, 1997
561997
A NHPP based software reliability model and optimal release policy with logistic–exponential test coverage under imperfect debugging
S Chatterjee, JB Singh
International Journal of System Assurance Engineering and Management 5, 399-406, 2014
522014
Modeling and analysis of software fault detection and correction process through Weibull-type fault reduction factor, change point and imperfect debugging
S Chatterjee, A Shukla
Arabian Journal for Science and Engineering 41, 5009-5025, 2016
412016
A structure-based software reliability allocation using fuzzy analytic hierarchy process
S Chatterjee, JB Singh, A Roy
International journal of systems science 46 (3), 513-525, 2015
412015
Software fault prediction using Nonlinear Autoregressive with eXogenous Inputs (NARX) network
S Chatterjee, S Nigam, JB Singh, LN Upadhyaya
Applied Intelligence 37, 121-129, 2012
382012
A new fuzzy rule based algorithm for estimating software faults in early phase of development
S Chatterjee, B Maji
Soft Computing 20, 4023-4035, 2016
372016
A unified approach of testing coverage‐based software reliability growth modelling with fault detection probability, imperfect debugging, and change point
S Chatterjee, A Shukla
Journal of Software: Evolution and Process 31 (3), e2150, 2019
302019
An ideal software release policy for an improved software reliability growth model incorporating imperfect debugging with fault removal efficiency and change point
S Chatterjee, A Shukla
Asia-Pacific Journal of Operational Research 34 (03), 1740017, 2017
292017
A novel systematic approach to diagnose brain tumor using integrated type-II fuzzy logic and ANFIS (adaptive neuro-fuzzy inference system) model
S Chatterjee, A Das
Soft Computing 24 (15), 11731-11754, 2020
242020
Software fault prediction using neuro-fuzzy network and evolutionary learning approach
S Chatterjee, S Nigam, A Roy
Neural Computing and Applications 28, 1221-1231, 2017
242017
A fuzzy rule-based generation algorithm in interval type-2 fuzzy logic system for fault prediction in the early phase of software development
S Chatterjee, B Maji, H Pham
Journal of Experimental & Theoretical Artificial Intelligence 31 (3), 369-391, 2019
232019
A bayesian belief network based model for predicting software faults in early phase of software development process
S Chatterjee, B Maji
Applied Intelligence 48 (8), 2214-2228, 2018
232018
A generalized family of transformed ratio-product estimators for variance in sample surveys
R Yadav, LN Upadhyaya, HP Singh, S Chatterjee
Communications in Statistics-Theory and Methods 42 (10), 1839-1850, 2013
222013
Prediction of software reliability using an auto regressive process
S Chatterjee, RB Misra, SS Alam
International journal of systems science 28 (2), 211-216, 1997
221997
Change point–based software reliability model under imperfect debugging with revised concept of fault dependency
S Chatterjee, A Shukla
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2016
202016
Novel Algorithms for Web Software Fault Prediction
S Chatterjee, A Roy
Quality and Reliability Engineering International, 2014
202014
Effect of change point and imperfect debugging in software reliability and its optimal release policy
S Chatterjee, S Nigam, JB Singh, LN Upadhyaya
Mathematical and Computer Modelling of Dynamical Systems 18 (5), 539-551, 2012
192012
N-version programming with imperfect debugging
S Chatterjee, RB Misra, SS Alam
Computers & Electrical Engineering 30 (6), 453-463, 2004
182004
Application of fuzzy time series in prediction of time between failures & faults in software reliability assessment
S Chatterjee, S Nigam, JB Singh, LN Upadhyaya
Fuzzy Information and Engineering 3, 293-309, 2011
152011
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