IEEE Transactions on Software Engineering

Issue 7 • Jul 1992

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Displaying Results 1 - 9 of 9
  • A software environment for studying computational neural systems

    Publication Year: 1992, Page(s):575 - 589
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1136 KB)

    UCLA-SFINX is a neural network simulation environment that enables users to simulate a wide variety of neural network models at various levels of abstraction. A network specification language enables users to construct arbitrary network structures. Small, structurally irregular networks can be modeled by explicitly defining each neuron and can be modeled by explicitly defining each neuron and corr... View full abstract»

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  • Prediction of software reliability using connectionist models

    Publication Year: 1992, Page(s):563 - 574
    Cited by:  Papers (104)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1048 KB)

    The usefulness of connectionist models for software reliability growth prediction is illustrated. The applicability of the connectionist approach is explored using various network models, training regimes, and data representation methods. An empirical comparison is made between this approach and five well-known software reliability growth models using actual data sets from several different softwa... View full abstract»

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  • Algorithmic transformations for neural computing and performance of supervised learning on a dataflow machine

    Publication Year: 1992, Page(s):613 - 623
    Cited by:  Papers (3)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB)

    Reprogrammable dataflow neural classifiers are proposed as an alternative to traditional implementations. In general, these classifiers are based on functional languages, neural-dataflow transformations, dataflow algorithmic transformations, and dataflow multiprocessors. An experimental approach is used to investigate the performance of a large-scale fine-grained dataflow classifier architecture. ... View full abstract»

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  • Pictorial information retrieval using the random neural network

    Publication Year: 1992, Page(s):590 - 600
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1104 KB)

    A technique is developed based on the use of a neural network model for performing information retrieval in a pictorial information system. The neural network provides autoassociative memory operation and allows the retrieval of stored symbolic images using erroneous or incomplete information as input. The network used is based on an adaptation of the random neural network model featuring positive... View full abstract»

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  • Compound-Poisson software reliability model

    Publication Year: 1992, Page(s):624 - 630
    Cited by:  Papers (48)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (528 KB)

    The probability density estimation of the number of software failures in the event of clustering or clumping of the software failures is considered. A discrete compound Poisson (CP) prediction model is proposed for the random variable Xrem, which is the remaining number of software failures. The compounding distributions, which are assumed to govern the failure sizes at Poisson... View full abstract»

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  • A general framework for concurrent simulation on neural network models

    Publication Year: 1992, Page(s):551 - 562
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1168 KB)

    The analysis of complex neural network models via analytical techniques is often quite difficult due to the large numbers of components involved and the nonlinearities associated with these components. The authors present a framework for simulating neural networks as discrete event nonlinear dynamical systems. This includes neural network models whose components are described by continuous-time di... View full abstract»

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  • A framework for neural net specification

    Publication Year: 1992, Page(s):601 - 612
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1024 KB)

    A notation for the specification of neural nets is proposed. The aim is to produce a simple mathematical framework for use in specifying neural nets essentially by defining their transfer functions and connections. Nets are specified as interacting processing elements (nodes), communicating via instant links. Dynamics and adaptation are defined at the processing elements themselves, and all intera... View full abstract»

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  • Persistent caching: an implementation technique for complex objects with object identity

    Publication Year: 1992, Page(s):631 - 645
    Cited by:  Papers (8)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1376 KB)

    Many recent complex object database systems support the concepts of object identity and object identifier. Following an object identifier to access the referenced object is called navigation operation and is an essential operation in dealing with complex objects. Navigation operation is a difficult operation to implement efficiently since every navigation operation inherently causes one disk acces... View full abstract»

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  • Negotiated interfaces for software reuse

    Publication Year: 1992, Page(s):646 - 653
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (728 KB)

    A significant barrier to the reuse of software is the rigid interface presented by a subroutine. For nontrivial data structures, it is unlikely that the existing form of the data of an application will match the requirements of a separately written subroutine. The authors describe two methods of interfacing existing data to a subroutine: generation of a program to convert the data to the form need... View full abstract»

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Aims & Scope

The IEEE Transactions on Software Engineering is interested in well-defined theoretical results and empirical studies that have potential impact on the construction, analysis, or management of software. The scope of this Transactions ranges from the mechanisms through the development of principles to the application of those principles to specific environments. Specific topic areas include: a) development and maintenance methods and models, e.g., techniques and principles for the specification, design, and implementation of software systems, including notations and process models; b) assessment methods, e.g., software tests and validation, reliability models, test and diagnosis procedures, software redundancy and design for error control, and the measurements and evaluation of various aspects of the process and product; c) software project management, e.g., productivity factors, cost models, schedule and organizational issues, standards; d) tools and environments, e.g., specific tools, integrated tool environments including the associated architectures, databases, and parallel and distributed processing issues; e) system issues, e.g., hardware-software trade-off; and f) state-of-the-art surveys that provide a synthesis and comprehensive review of the historical development of one particular area of interest.

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Meet Our Editors

Editor-in-Chief
Matthew B. Dwyer
Dept. Computer Science and Engineering
256 Avery Hall
University of Nebraska-Lincoln
Lincoln, NE 68588-0115 USA
tse-eic@computer.org