Hybrid computational models for software cost prediction: An approach using artificial neural networks and genetic algorithms

Lecture Notes in Business Information Processing

Volumn 19, Issue , 2009, Pages 87-100

  Papatheocharous, Efi ^a   Andreou, Andreas S ^a  

^a UNIVERSITY OF CYPRUS   (Cyprus)

Author keywords

Artificial neural networks; Genetic algorithms; Software cost estimation

Indexed keywords

BACKPROPAGATION; COSTS; ESTIMATION; GENETIC ALGORITHMS; INFORMATION MANAGEMENT; INFORMATION SYSTEMS; NETWORK LAYERS; RESOURCE ALLOCATION;

ARTIFICIAL NEURAL NETWORKS; COST BEHAVIORS; COST ESTIMATIONS; CULTURAL ENVIRONMENTS; DATA ATTRIBUTES; EFFORT ESTIMATIONS; FACTORS AFFECTING PRODUCTIVITIES; HIDDEN LAYERS; HYBRID COMPUTATIONAL; INPUT/OUTPUT; MEAN RELATIVE ERRORS; PROJECT RESOURCES; SOFTWARE COST ESTIMATION; SOFTWARE COSTS; SOFTWARE PROCESS; SOFTWARE PROJECTS;

NEURAL NETWORKS;

EID: 64549085386     PISSN: 18651348     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-00670-8_7     Document Type: Article

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