The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform

A. E. Barrios - One of the best experts on this subject based on the ideXlab platform.

  • TABLE OF CONTENTS
    2006
    Co-Authors: A. E. Barrios, W. L. Patterson, R. A. Sprague, System Overview
    Abstract:

    This document provides Version 2.1.04 Computer Software Configuration Item documents for the Advanced Propagation Model (APM). The APM calculates range-dependent electromagnetic system propagation loss and propagation factor within a heterogeneous atmospheric medium over variable terrain, where the radio-frequency index of refraction is allowed to vary vertically and horizontally. The first document specifies the functional requirements that are to be met by the APM CSCI. A discussion of the input Software requirements is presented together with a general description of the internal structure of the APM CSCI as it relates to the CSCI’s capability. The second document describes the design of the APM CSCI. An overview of the input Software requirements is presented together with an overview of the CSCI design architecture and a detailed design description of each CSCI component. The third document specifies the test cases and test procedures necessary to perform APM CSCI qualification testing. A discussion of precise input values of each input variable required to perform the test together with final expected test results is presented

  • Advanced Propagation Model (APM) Ver. 1.3.1 Computer Software Configuration Item (CSCI) Documents
    2002
    Co-Authors: A. E. Barrios, W. L. Patterson
    Abstract:

    Abstract : This document provides Version 2.1.04 Computer Software Configuration Item documents for the Advanced Propagation Model (APM). The APM calculates range-dependent electromagnetic system propagation loss and propagation factor within a heterogeneous atmospheric medium over variable terrain, where the radio-frequency index of refraction is allowed to vary vertically and horizontally. The first document specifies the functional requirements that are to be met by the APM CSCI. A discussion of the input Software requirements is presented together with a general description of the internal structure of the APM CSCI as it relates to the CSCI's capability. The second document describes the design of the APM CSCI. An overview of the input Software requirements is presented together with an overview of the CSCI design architecture and a detailed design description of each CSCI component. The third document specifies the test cases and test procedures necessary to perform APM CSCI qualification testing. A discussion of precise input values of each input variable required to perform the test together with final expected test results is presented.

  • Advanced Propagation Model (APM) Computer Software Configuration Item (CSCI) Documents.
    1998
    Co-Authors: D. R. Sailors, A. E. Barrios, W. L. Patterson, H. V. Hitney
    Abstract:

    Abstract : This document describes the Advanced Propagation Mode (APM) Version 1.0 computer Software Configuration Item (CSCI) design and provides an input Software requirement overview, a CSCI design architecture overview, and a detailed design description of each CSCI component. The Advanced Propagation Model (APM) Version 1.0 computer Software Configuration Item (CS CI) calculates range-dependent electromagnetic (EM) system propagation loss within a heterogeneous atmospheric medium over variable terrain, where the radio-frequency index of refraction is allowed to vary both vertically and horizontally, also accounting for terrain effects along the path of propagation.

  • Terrain Parabolic Equation Model (TPEM) Computer Software Configuration Item (CSCI) Documents.
    1997
    Co-Authors: A. E. Barrios
    Abstract:

    Abstract : This document specifies the functional requirements that are to be met by the Terrain Parabolic Equation Model (TPEM) Computer Software Configuration Item (CSCI). A discussion of the input Software requirements is presented together with a general description of the internal structure of the TPEM CSCI as it relates to the CSCI's capability.

W. L. Patterson - One of the best experts on this subject based on the ideXlab platform.

  • TABLE OF CONTENTS
    2006
    Co-Authors: A. E. Barrios, W. L. Patterson, R. A. Sprague, System Overview
    Abstract:

    This document provides Version 2.1.04 Computer Software Configuration Item documents for the Advanced Propagation Model (APM). The APM calculates range-dependent electromagnetic system propagation loss and propagation factor within a heterogeneous atmospheric medium over variable terrain, where the radio-frequency index of refraction is allowed to vary vertically and horizontally. The first document specifies the functional requirements that are to be met by the APM CSCI. A discussion of the input Software requirements is presented together with a general description of the internal structure of the APM CSCI as it relates to the CSCI’s capability. The second document describes the design of the APM CSCI. An overview of the input Software requirements is presented together with an overview of the CSCI design architecture and a detailed design description of each CSCI component. The third document specifies the test cases and test procedures necessary to perform APM CSCI qualification testing. A discussion of precise input values of each input variable required to perform the test together with final expected test results is presented

  • Advanced Propagation Model (APM) Ver. 1.3.1 Computer Software Configuration Item (CSCI) Documents
    2002
    Co-Authors: A. E. Barrios, W. L. Patterson
    Abstract:

    Abstract : This document provides Version 2.1.04 Computer Software Configuration Item documents for the Advanced Propagation Model (APM). The APM calculates range-dependent electromagnetic system propagation loss and propagation factor within a heterogeneous atmospheric medium over variable terrain, where the radio-frequency index of refraction is allowed to vary vertically and horizontally. The first document specifies the functional requirements that are to be met by the APM CSCI. A discussion of the input Software requirements is presented together with a general description of the internal structure of the APM CSCI as it relates to the CSCI's capability. The second document describes the design of the APM CSCI. An overview of the input Software requirements is presented together with an overview of the CSCI design architecture and a detailed design description of each CSCI component. The third document specifies the test cases and test procedures necessary to perform APM CSCI qualification testing. A discussion of precise input values of each input variable required to perform the test together with final expected test results is presented.

  • Advanced Propagation Model (APM) Computer Software Configuration Item (CSCI) Documents.
    1998
    Co-Authors: D. R. Sailors, A. E. Barrios, W. L. Patterson, H. V. Hitney
    Abstract:

    Abstract : This document describes the Advanced Propagation Mode (APM) Version 1.0 computer Software Configuration Item (CSCI) design and provides an input Software requirement overview, a CSCI design architecture overview, and a detailed design description of each CSCI component. The Advanced Propagation Model (APM) Version 1.0 computer Software Configuration Item (CS CI) calculates range-dependent electromagnetic (EM) system propagation loss within a heterogeneous atmospheric medium over variable terrain, where the radio-frequency index of refraction is allowed to vary both vertically and horizontally, also accounting for terrain effects along the path of propagation.

Selin Aydin - One of the best experts on this subject based on the ideXlab platform.

  • EuroSPI - Software Quality Improvement Practices in Continuous Integration
    Communications in Computer and Information Science, 2019
    Co-Authors: Ilgi Keskin Kaynak, Evren Çilden, Selin Aydin
    Abstract:

    CI (Continuous Integration) is a development practice that provides an efficient and effective basis for the whole SDLC (Software Development Life Cycle) [1]. We intended to improve quality of the Software by means of process automation throughout CI infrastructure. Process automation let the improvement team to quantify the data that was collected automatically. By means of the autonomous SDLC via CI practices, we realized the benefits of the CI based process automation from quality assurance perspective. This paper is prepared to share the results of those quality improvement practices on SPI Manifesto basis. Main objective of this study is to improve the quality of the Software. DDE (Defect Detection Effectiveness) and DD (Defect Density) metrics are collected for this purpose. These metrics are collected to evaluate the benefits of process automation till the end of the CSCI (Computer Software Configuration Item) tests. Benefits of the improvement study is emphasized quantitatively to enlighten the planned future work on Software quality improvement.

  • Software Quality Improvement Practices in Continuous Integration
    Systems Software and Services Process Improvement, 2019
    Co-Authors: İlgi Keskin Kaynak, Evren Çilden, Selin Aydin
    Abstract:

    CI (Continuous Integration) is a development practice that provides an efficient and effective basis for the whole SDLC (Software Development Life Cycle) [ 1 ]. We intended to improve quality of the Software by means of process automation throughout CI infrastructure. Process automation let the improvement team to quantify the data that was collected automatically. By means of the autonomous SDLC via CI practices, we realized the benefits of the CI based process automation from quality assurance perspective. This paper is prepared to share the results of those quality improvement practices on SPI Manifesto basis. Main objective of this study is to improve the quality of the Software. DDE (Defect Detection Effectiveness) and DD (Defect Density) metrics are collected for this purpose. These metrics are collected to evaluate the benefits of process automation till the end of the CSCI (Computer Software Configuration Item) tests. Benefits of the improvement study is emphasized quantitatively to enlighten the planned future work on Software quality improvement.

H. V. Hitney - One of the best experts on this subject based on the ideXlab platform.

  • Advanced Propagation Model (APM) Computer Software Configuration Item (CSCI) Documents.
    1998
    Co-Authors: D. R. Sailors, A. E. Barrios, W. L. Patterson, H. V. Hitney
    Abstract:

    Abstract : This document describes the Advanced Propagation Mode (APM) Version 1.0 computer Software Configuration Item (CSCI) design and provides an input Software requirement overview, a CSCI design architecture overview, and a detailed design description of each CSCI component. The Advanced Propagation Model (APM) Version 1.0 computer Software Configuration Item (CS CI) calculates range-dependent electromagnetic (EM) system propagation loss within a heterogeneous atmospheric medium over variable terrain, where the radio-frequency index of refraction is allowed to vary both vertically and horizontally, also accounting for terrain effects along the path of propagation.

Jessie M. Bethly Betz - One of the best experts on this subject based on the ideXlab platform.

  • A prototype to automate the video subsystem routing for the video distribution subsystem of Space Station Freedom
    1993
    Co-Authors: Jessie M. Bethly Betz
    Abstract:

    The Video Distribution Subsystem (VDS) for Space Station Freedom provides onboard video communications. The VDS includes three major functions: external video switching; internal video switching; and sync and control generation. The Video Subsystem Routing (VSR) is a part of the VDS Manager Computer Software Configuration Item (VSM/CSCI). The VSM/CSCI is the Software which controls and monitors the VDS equipment. VSR activates, terminates, and modifies video services in response to Tier-1 commands to connect video sources to video destinations. VSR selects connection paths based on availability of resources and updates the video routing lookup tables. This project involves investigating the current methodology to automate the Video Subsystem Routing and developing and testing a prototype as 'proof of concept' for designers.