Software Environment

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The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform

Haiying Sun - One of the best experts on this subject based on the ideXlab platform.

  • deriving requirements specification with time a Software Environment ontology based approach
    Computer Software and Applications Conference, 2013
    Co-Authors: Xiaohong Chen, Haiying Sun
    Abstract:

    It is well acknowledged that Environment plays an important role in requirement derivation. However, at present the time-continuous properties of the Environment are of little concern. Our previous work modeled the time-continuous Environment by constructing a Software Environment ontology. This paper further presents an approach for deriving Software requirements specification with time using Software Environment ontology. Experiments are conducted by deriving different Software requirement specifications under different situations. They are simulated with Simulink. The simulation results show that the Software behaviors can be more accurately determined with respect to time-continuous Environment by using time as a measurement.

  • COMPSAC - Deriving Requirements Specification with Time: A Software Environment Ontology Based Approach
    2013 IEEE 37th Annual Computer Software and Applications Conference, 2013
    Co-Authors: Xiaohong Chen, Haiying Sun
    Abstract:

    It is well acknowledged that Environment plays an important role in requirement derivation. However, at present the time-continuous properties of the Environment are of little concern. Our previous work modeled the time-continuous Environment by constructing a Software Environment ontology. This paper further presents an approach for deriving Software requirements specification with time using Software Environment ontology. Experiments are conducted by deriving different Software requirement specifications under different situations. They are simulated with Simulink. The simulation results show that the Software behaviors can be more accurately determined with respect to time-continuous Environment by using time as a measurement.

Xiaohong Chen - One of the best experts on this subject based on the ideXlab platform.

  • deriving requirements specification with time a Software Environment ontology based approach
    Computer Software and Applications Conference, 2013
    Co-Authors: Xiaohong Chen, Haiying Sun
    Abstract:

    It is well acknowledged that Environment plays an important role in requirement derivation. However, at present the time-continuous properties of the Environment are of little concern. Our previous work modeled the time-continuous Environment by constructing a Software Environment ontology. This paper further presents an approach for deriving Software requirements specification with time using Software Environment ontology. Experiments are conducted by deriving different Software requirement specifications under different situations. They are simulated with Simulink. The simulation results show that the Software behaviors can be more accurately determined with respect to time-continuous Environment by using time as a measurement.

  • COMPSAC - Deriving Requirements Specification with Time: A Software Environment Ontology Based Approach
    2013 IEEE 37th Annual Computer Software and Applications Conference, 2013
    Co-Authors: Xiaohong Chen, Haiying Sun
    Abstract:

    It is well acknowledged that Environment plays an important role in requirement derivation. However, at present the time-continuous properties of the Environment are of little concern. Our previous work modeled the time-continuous Environment by constructing a Software Environment ontology. This paper further presents an approach for deriving Software requirements specification with time using Software Environment ontology. Experiments are conducted by deriving different Software requirement specifications under different situations. They are simulated with Simulink. The simulation results show that the Software behaviors can be more accurately determined with respect to time-continuous Environment by using time as a measurement.

  • KSEM - On constructing Software Environment ontology for time-continuous Environment
    Knowledge Science Engineering and Management, 2011
    Co-Authors: Xiaohong Chen, Jing Liu, Zuohua Ding
    Abstract:

    It is well known that Environment plays an important part in requirements engineering(RE). However, at present the time-continuous properties of the Environment are not considered yet in RE. This paper proposes to model the time-continuous Environment by constructing a Software Environment ontology. Based on this ontology, a small example is given for deriving Software requirements specification using problem frames approach under different situations. The results show that the Software behaviors can be more accurately determined with respect to time-continuous Environment by using time as a measurement.

Lewis Girod - One of the best experts on this subject based on the ideXlab platform.

  • emstar a Software Environment for developing and deploying wireless sensor networks
    USENIX Annual Technical Conference, 2004
    Co-Authors: Lewis Girod, Jeremy Elson, Alberto E Cerpa, Thanos Stathopoulos, Nithya Ramanathan, Deborah Estrin
    Abstract:

    Many Wireless Sensor Network (WSN) applications are composed of a mixture of deployed devices with varying capabilities, from extremely constrained 8-bit "Motes" to less resource-constrained 32-bit "Microservers". EmStar is a Software Environment for developing and deploying complex WSN applications on networks of 32-bit embedded Microserver platforms, and integrating with networks of Motes. EmStar consists of libraries that implement message-passing IPC primitives, tools that support simulation, emulation, and visualization of live systems, both real and simulated, and services that support networking, sensing, and time synchronization. While EmStar's design has favored ease of use and modularity over efficiency, the resulting increase in overhead has not been an impediment to any of our current projects.

  • emstar a Software Environment for developing and deploying wireless sensor networks
    USENIX Annual Technical Conference, 2004
    Co-Authors: Lewis Girod, Alberto E Cerpa, Thanos Stathopoulos, Jeremy Elso, Nithya Ramanatha, Deborah Estri
    Abstract:

    Many Wireless Sensor Network (WSN) applications are composed of a mixture of deployed devices with varying capabilities, from extremely constrained 8-bit "Motes" to less resource-constrained 32-bit "Microservers". EmStar is a Software Environment for developing and deploying complex WSN applications on networks of 32-bit embedded Microserver platforms, and integrating with networks of Motes. EmStar consists of libraries that implement message-passing IPC primitives, tools that support simulation, emulation, and visualization of live systems, both real and simulated, and services that support networking, sensing, and time synchronization. While EmStar's design has favored ease of use and modularity over efficiency, the resulting increase in overhead has not been an impediment to any of our current projects.

Lao H. Saal - One of the best experts on this subject based on the ideXlab platform.

  • An introduction to BioArray Software Environment.
    Methods in enzymology, 2006
    Co-Authors: Carl Troein, Johan Vallon-christersson, Lao H. Saal
    Abstract:

    BioArray Software Environment (BASE) is a web-based Software package for storing, searching, and analyzing locally generated microarray data and information surrounding microarray production. The workflow begins in sample management and, optionally, microtiter plate tracking and ends in visualization and analysis of entire experiments. The relative ease with which new analysis plug-ins can be added has given rise to a plethora of third-party tools, and the licensing terms (GNU GPL) encourage local modifications of the Software. This introduction to BASE describes the basics of working with the Software, both in general and in more detail for the various parts. It also provides some hints about more advanced usage and a section on what is needed to set up your own BASE server. The information is current as of BASE version 1.2.17b, which was released on November 6, 2005.

  • bioarray Software Environment base a platform for comprehensive management and analysis of microarray data
    Genome Biology, 2002
    Co-Authors: Carl Troein, Lao H. Saal, Johan Vallonchristersson, Sofia Gruvberger, Ake Borg, Carsten Peterson
    Abstract:

    The microarray technique requires the organization and analysis of vast amounts of data. These data include information about the samples hybridized, the hybridization images and their extracted data matrices, and information about the physical array, the features and reporter molecules. We present a web-based customizable bioinformatics solution called BioArray Software Environment (BASE) for the management and analysis of all areas of microarray experimentation. All Software necessary to run a local server is freely available.

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

  • Vista: a Software Environment for computer vision research
    Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, 1994
    Co-Authors: Lowe
    Abstract:

    Vista is a Software Environment supporting the modular implementation and execution of computer vision algorithms. Because it is extensible, portable, and freely available, Vista is an appropriate medium for the exchange of standard implementations of algorithms. This paper, an overview of Vista, describes its file format, its data abstraction, its conventions for UNIX filter programs and library routines, and its user interface toolkit. Unlike systems that are designed principally to support image processing, Vista provides for the easy creation and use of arbitrary data types, such as are needed for many areas of computer vision research. >

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