[PDF] Top 20 Hybrid Intelligent Model for Software Maintenance Prediction
Has 10000 "Hybrid Intelligent Model for Software Maintenance Prediction" found on our website. Below are the top 20 most common "Hybrid Intelligent Model for Software Maintenance Prediction".
Hybrid Intelligent Model for Software Maintenance Prediction
... — Maintenance is an important activity in the software life ...No software product can do without undergoing the process of ...(NN) model to predict software maintainability. The ... See full document
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Impact of Hybrid Intelligent Computing in Identifying Constructive Weather Parameters for Modeling Effective Rainfall Prediction
... Kalteh (2008) developed ANN based rainfall prediction model and compared that with the neural interpretation diagram, garson’s algorithm and randomization approach. The investigation showed that ANN ... See full document
10
Hybrid Intelligent Approach for Predicting Product Compositions of a Distillation Column
... consistent maintenance, regular calibrations, and high-cost equipment make composition analysers an ineffective solution for precise online ...and prediction of dynamic ... See full document
7
Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer.
... mixed model are usually unknown, but in genomic selection theory such covariance structures are expressed as relationships among individuals, estimated by an additive, genomic, or other type of rela- tionship ... See full document
15
Prediction of hybrid means from a partial circulant diallel table using the ordinary least square and the mixed model methods
... by Bernardo (1994, 1995, 1996a, 1996b). In this particular case, the error variance and the other variance components will influence the genetic parameter estimation, making it possible to obtain the BLUE (Best Linear ... See full document
7
A hybrid model of mammalian cell cycle regulation.
... the hybrid model is to simulate flow cytometry measurements of the DNA content and cyclin levels in an asynchronous population of RKO (colon carcinoma) cells ... See full document
10
Landscape Builder: Software for the creation of initial landscapes for LANDIS from FIA data
... Builder software creates spatially representative digital forest landscapes using Forest Inventory and Analysis data (FIA data) (Miles et ...elevation model (DEM) using tools developed by Jenness ...the ... See full document
9
HyLTL: a temporal logic for model checking hybrid systems
... The model-checking problem for hybrid systems is a well known challenge in the scientific com- ...the hybrid system to be verified into a discrete one, thus loosing information on the continuous ... See full document
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Prediction of double cross hybrid performance in maize (Zea mays L.)
... [r] ... See full document
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Aspect-Oriented Software Quality Model: The AOSQ Model
... A Middleware platform, like CORBA, DCOM, J2EE and .NET offers abstraction and simplicity for the complex and heterogeneous computing environment with high quality of distributed applications with a shortest development ... See full document
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Software Risk Factors: A Survey and Software Risk Mitigation Intelligent Decision Network Using Rule Based Technique
... — Software industry has been rapidly growing from the last couple of ...whole software development ...overall software project and risk mitigation reviewed from the literature and my own ...of ... See full document
7
Suggestions for the Structure of Kernel Software in Intelligent Seismic Nets
... The same facility would then, if required, embark upon the proposed detailed Tsunami Modeling Phase and, during this, the front-end would process a coarser version of the Model for the spreading Tsunami, within ... See full document
7
Software Defect Prediction Models for Quality Improvement: A Literature Study
... defect prediction is a relatively new domain of research, in this paper we will be discussing various prediction models which have been ...current prediction models, complexity and size metrics are ... See full document
9
Initial Hybrid Method for Analyzing Software Estimation, Benchmarking and Risk Assessment Using Design of Software
... in software engineering are used to predict some important attributes of future entities such as development effort, software reliability and programmers ...estimating software effort have motivated ... See full document
8
Prediction equations to estimate the demand of energy and crude protein for maintenance, gain and egg production for laying Japanese quails1
... for maintenance was determined with testing for 22 days – with seven days of adaptation to food and facilities and 15 days of data ...the prediction model of Silva et ... See full document
8
Non-invasive modelling of ultrasound-induced temperature in tissues: a b-splines neural network solution
... an intelligent computation model, based on measured data, is proposed in this work to model the temperature propagation inside tissues, when these are subject to an ultrasound heating ...the ... See full document
6
Hierarchical Model for Evaluating Software Design Quality
... configured. For example, the Large Class bad smell [12], which describes classes bearing too much responsibility, typically denotes an overly complex, low-cohesive class with lots of mem- bers. Due to a large number of ... See full document
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A SUPPLIER SELECTION MODEL FOR SOFTWARE DEVELOPMENT OUTSOURCING
... The performance indicators are the best information based on the client can select a well qualified software development outsourcing supplier. This information offer de specific and objective insight about the ... See full document
6
Genetic distance estimated by RAPD markers and its relationship with hybrid performance in maize
... and hybrid performance, using random amplified polymorphic DNA (RAPD) molecular ...constructed. Hybrid analyses were carried out using random block design and Griffing method VI for diallel ... See full document
8
Application of SWAT model for assessing effect on main functions of watershed ecosystem in Headwater, Thailand
... event model ANSWERS (Beasley, 1991), the empirically based SWATCATCH model (Holman et ...DWSM model (Borah and Bera, 2003) and the semi-empirical SWAT model (Arnold et ...capable model ... See full document
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