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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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Journal ArticleDOI

A statistical methodology to simplify software metric models constructed using incomplete data samples

TL;DR: A methodology consisting of the k-nearest neighbors (k-NN) imputation method, statistical hypothesis testing, and a "goodness-of-fit" criterion is derived to solve the problems of redundant predictor metric(s) and/or unnecessary predictor metric complexity.
Book ChapterDOI

Current practices of software cost estimation technique in Malaysia context

TL;DR: Expert judgment and algorithmic model are widely used as methods in software cost estimation process and the process was done manually, which shows that the integration of these two methods helps in producing accurate result forcost estimation process.
Journal ArticleDOI

A novel fuzzy based approach for effort estimation in software development

TL;DR: The role of cost drivers (effort features) in improving the precision of effort estimation using Fuzzy Logic is investigated and the outcomes are compared against traditional methods using parameters like Mean Magnitude of Relative Error (MMRE) and Pred.
Book ChapterDOI

Applying Fuzzy Logic Modeling to Software Project Management

TL;DR: Evidence is provided to support the use of fuzzy sets, fuzzy rules and fuzzy inference in modeling predictive relationships of relevance to software project management and a software toolset is constructed that enables data, classes and rules to be defined for any such relationship.
Dissertation

Maintainability prediction for relational database-driven software applications

Mehwish Riaz
TL;DR: Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person.
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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