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.read more
Citations
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Book ChapterDOI
Soft Computing Based Effort Prediction Systems — A Survey
TL;DR: A critical survey of the state-of-the-art application of soft computing in development effort prediction using the set of attributes proposed is presented and reveals that many openings exist for improving soft computing based prediction techniques.
Book ChapterDOI
Web Effort Estimation
TL;DR: This chapter has two main objectives: to introduce the concepts related to effort estimation and in particular Web effort estimation, and to present a case study where a real effort prediction model based on data from completed industrial Web projects is constructed step by step.
Journal ArticleDOI
Evaluation of various training algorithms in a neural network model for software engineering applications
TL;DR: This paper proposes to evaluate various training algorithms in a neural network model and shows which is the best suited for software engineering applications.
Software Effort Estimation: A Survey of Well-known Approaches
TL;DR: This article is related to the extensive descriptive discovery of the models which are introduced in the beginning of the software estimation area in addition to includes many of the well-known accessible and utilized parametric models or number of non-parametric methods.
Book ChapterDOI
A Survey of Intelligent Scheduling Systems
TL;DR: This paper provides a survey of intelligent scheduling systems based on artificial and computational intelligence techniques, including knowledge-based systems, expert systems, genetic algorithms, simulated annealing, neural networks, and hybrid systems.
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.
MonographDOI
Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
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
TL;DR: The purpose and nature of Biological Memory, as well as some of the aspects of Memory Aspects, are explained.