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Journal ArticleDOI

Fuzzy systems and neural networks in software engineering project management

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TLDR
It is shown that the MBI selection process can be based upon 64 different fuzzy associative memory (FAM) rules, and the same rules are used to generate 64 training patterns for a feedforward neural network.
Abstract
To make reasonable estimates of resources, costs, and schedules, software project managers need to be provided with models that furnish the essential framework for software project planning and control by supplying important “management numbers” concerning the state and parameters of the project that are critical for resource allocation. Understanding that software development is not a “mechanistic” process brings about the realization that parameters that characterize the development of software possess an inherent “fuzziness,” thus providing the rationale for the development of realistic models based on fuzzy set or neural theories.

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Citations
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Adaptive Neuro-Fuzzy Inference System (ANFIS) Based Software Evaluation

TL;DR: The design of an efficient software effort evaluation model using Adaptive Neuro-Fuzzy Inference System (ANFIS) for uncertain datasets is highlighted and it shows that this technique significantly outperforms with sufficient results.
Journal ArticleDOI

A bayesian belief network based model for predicting software faults in early phase of software development process

TL;DR: The present study proposes a methodology based on Bayesian belief network, developed to predict total number of faults and to reach a target value of totalNumber of faults during early development phase of software lifecycle.

Parameter Estimation of Software Reliability Growth Models by Particle Swarm Optimization

TL;DR: This paper explores the use of Particle Swarm Optimization (PSO) algorithm to estimate parameters of the well known SRGM and shows potential advantages in handling variety of modelling problems such as the exponential model, power model, and Delayed S-Shaped model.
Proceedings ArticleDOI

E-cost estimation using expert judgment and COCOMO II

TL;DR: This research investigates the feasibility to combine and implement COCOMO II and expert judgment technique in a tool called WebCost, developed in JAVA, which is proven able to estimate cost and generate its estimation result.
Journal ArticleDOI

Software Cost Estimation Using Environmental Adaptation Method

TL;DR: The experimental results demonstrated that the overall performance of IEAM-RP is quite satisfactory in predicting the effort required to develop a software.
References
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Book ChapterDOI

Learning internal representations by error propagation

TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
Journal ArticleDOI

Neural networks and physical systems with emergent collective computational abilities

TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.
Book

Learning internal representations by error propagation

TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.
Book

Self Organization And Associative Memory

Teuvo Kohonen
TL;DR: The purpose and nature of Biological Memory, as well as some of the aspects of Memory Aspects, are explained.
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