Temporary Variable

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 9867 Experts worldwide ranked by ideXlab platform

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

  • automatic code locations identification for replacing Temporary Variable with query method
    International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 2015
    Co-Authors: Songsakdi Rongviriyapanish, Nopphawit Karunlanchakorn, Panita Meananeatra
    Abstract:

    Automatic application of refactoring techniques can help developer save effort for removing bad smells from their code which improves software maintainability. To remove automatically long method bad smell, which is one of the most serious bad smells, we need an automatic application of six refactoring techniques. However, only one refactoring technique “Extract Method” can be automated. In this research, we propose an algorithm to identify code locations which will be extracted for creating a query method. We performed an experiment to conclude the workability and correctness of our algorithm. This is the most important step towards an automatic application of refactoring technique “replace temp with query”.

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

  • automatic code locations identification for replacing Temporary Variable with query method
    International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 2015
    Co-Authors: Songsakdi Rongviriyapanish, Nopphawit Karunlanchakorn, Panita Meananeatra
    Abstract:

    Automatic application of refactoring techniques can help developer save effort for removing bad smells from their code which improves software maintainability. To remove automatically long method bad smell, which is one of the most serious bad smells, we need an automatic application of six refactoring techniques. However, only one refactoring technique “Extract Method” can be automated. In this research, we propose an algorithm to identify code locations which will be extracted for creating a query method. We performed an experiment to conclude the workability and correctness of our algorithm. This is the most important step towards an automatic application of refactoring technique “replace temp with query”.

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

  • automatic code locations identification for replacing Temporary Variable with query method
    International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 2015
    Co-Authors: Songsakdi Rongviriyapanish, Nopphawit Karunlanchakorn, Panita Meananeatra
    Abstract:

    Automatic application of refactoring techniques can help developer save effort for removing bad smells from their code which improves software maintainability. To remove automatically long method bad smell, which is one of the most serious bad smells, we need an automatic application of six refactoring techniques. However, only one refactoring technique “Extract Method” can be automated. In this research, we propose an algorithm to identify code locations which will be extracted for creating a query method. We performed an experiment to conclude the workability and correctness of our algorithm. This is the most important step towards an automatic application of refactoring technique “replace temp with query”.

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

  • learning Temporary Variable binding with dynamic links
    International Joint Conference on Neural Network, 1991
    Co-Authors: Jurgen Schmidhuber
    Abstract:

    A novel gradient-based system for processing sequential time-varying inputs and outputs is described. With the method it is possible to train a system with time-varying inputs and outputs to use its dynamic links for temporarily binding Variable contents to Variable names as long as it is necessary for solving a particular task. Various learning methods for nonstationary environments are derived. Two experiments with unknown time delays illustrate the approach. A by-product of this work is the demonstration that a system consisting of two feedforward networks can solve tasks that only dynamic recurrent networks were supposed to solve. >

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

  • THE SPEED BEHAVIOR OF CZECH PROFESSIONAL DRIVERS ACCORDING TO ORDINARY VS. Variable SPEED LIMIT SIGNS: AN ON-ROAD AND DRIVING SIMULATION-BASED COMPARISON
    University of Pardubice Faculty of Transport Engineering, 2020
    Co-Authors: Linkov Václav, Perůtka Jan, Zaoral Aleš, Tučka Pavel, Ťápal Adam, Zůvala Robert, Řezáč Pavel
    Abstract:

    Using the speed of professional truck drivers, the effectiveness of speed limit signswas compared for 1) a Temporary Variable-message sign that uses LED technologyand displays the current speed limit (hereinafter “VSL sign”) and 2) a normal verticalroad sign with retroreflective sheeting (hereinafter “ordinary sign”). Measurementswere made at two locations in the Czech Republic. Each location provided a differentscenario with a different displayed speed limit on both types of signs (60 kph or80kph). Similar measurements were made in a driving simulation. Drivers were morelikely to slow down in the presence of a VSL sign than in the presence of an ordinarysign on a real road, however, no differences were found in the driving simulation. Theoverall results indicate that VSL signs seem to be respected more than ordinary signsin reducing professional truck drivers’ speed. Therefore, VSL signs may be beneficialas a part of a telematic system and in places with high accident risk