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  • Search: subject:"mean value function"
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Year of publication
Subject
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mean value function 3 SRGM 2 Software 2 Fuzzy sets 1 Fuzzy-Set-Theorie 1 MVF 1 Mathematical programming 1 Mathematische Optimierung 1 NHPP 1 NHPP model 1 Neural networks 1 Neuronale Netze 1 Software development 1 Softwareentwicklung 1 Stochastic process 1 Stochastischer Prozess 1 Theorie 1 Theory 1 adaptive neuro fuzzy 1 cost 1 crisp optimisation 1 failure intensity function 1 fault dependency 1 fuzzy optimisation 1 goodness of fit statistic 1 learning function 1 neural network 1 neuro fuzzy 1 non-homogeneous poisson process 1 optimisation 1 predictive validity 1 release time 1 reliability 1 software engineering 1 software growth model 1 software management concept 1 software reliability growth model 1 software testing 1 testing effort 1
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Undetermined 2
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2 Undetermined 1
Author
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Kumar, Deepak 2 Dwivedi, Asit 1 Gautam, Shubhra 1 Govindasamy, Gopal 1 Patnaik, L. M. 1 Ramasamy, Subburaj 1
Published in...
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International journal of intelligent enterprise 1 International journal of management concepts and philosophy : IJMCP 1 Journal of Applied Statistics 1
Source
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ECONIS (ZBW) 2 RePEc 1
Showing 1 - 3 of 3
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Optimisation of software release time using adaptive neuro fuzzy approach
Gautam, Shubhra; Kumar, Deepak; Patnaik, L. M. - In: International journal of intelligent enterprise 9 (2022) 2, pp. 195-206
Persistent link: https://www.econbiz.de/10013256153
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Fault dependency SRGM with testing effort using learning function
Dwivedi, Asit; Kumar, Deepak - In: International journal of management concepts and … 11 (2018) 1, pp. 1-10
Persistent link: https://www.econbiz.de/10011879502
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A software reliability growth model addressing learning
Ramasamy, Subburaj; Govindasamy, Gopal - In: Journal of Applied Statistics 35 (2008) 10, pp. 1151-1168
Goel proposed generalization of the Goel-Okumoto (G-O) software reliability growth model (SRGM), in order to model the failure intensity function, i.e. the rate of occurrence of failures (ROCOF) that initially increases and then decreases (I/D), which occurs in many projects due to the learning...
Persistent link: https://www.econbiz.de/10005639764
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