303,903 research outputs found

    A framework for understanding the factors influencing pair programming success

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    Pair programming is one of the more controversial aspects of several Agile system development methods, in particular eXtreme Programming (XP). Various studies have assessed factors that either drive the success or suggest advantages (and disadvantages) of pair programming. In this exploratory study the literature on pair programming is examined and factors distilled. These factors are then compared and contrasted with those discovered in our recent Delphi study of pair programming. Gallis et al. (2003) have proposed an initial framework aimed at providing a comprehensive identification of the major factors impacting team programming situations including pair programming. However, this study demonstrates that the framework should be extended to include an additional category of factors that relate to organizational matters. These factors will be further refined, and used to develop and empirically evaluate a conceptual model of pair programming (success)

    An assessment of Multilevel Governance in Cohesion Policy, 2007-2013

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    This study offers a thorough overview of Multi-Level Governance in Cohesion Policy in the current programming period of 2007-2013 by examining the evolution of the concept in terms of its definition and conceptual framework, analysing the current processes of implementing Multi-Level Governance in the EU27, as well as describing the advantages and disadvantages of partnerships in policy-making. Moreover, the study aims to formulate strategic and operational recommendations in the context of the preparation of the 2014- 2020 programming perio

    A Methodological Note on the Estimation of Programming Models

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    The paper introduces a general methodological approach for the estimation of constrained optimisation models in agricultural supply analysis. It is based on optimality conditions of the desired programming model and shows a conceptual advantage compared to Positive Mathematical Programming in the context of well posed estimation problems. Moreover, it closes the empirical and methodological gap between programming models and duality based functional models with explicit allocation of fixed factors. Monte Carlo simulations are performed with a maximum entropy estimator to evaluate the functionality of the approach as well as the impact of empirically relevant prior information in small sample situations.Agricultural Supply Analysis, Programming Models, Maximum Entropy Estimation, Prior Information, Research Methods/ Statistical Methods,

    The use of COSMIC NASTRAN in an integrated conceptual design environment

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    Changes in both software and hardware are rapidly bringing conceptual engineering tools like finite element analysis into mainstream mechanical design. Systems that integrate all phases of the manufacturing process provide the most cost benefits. The application of programming concepts like object oriented programming allow for the encapsulation of intelligent data within the design geometry. This combined with declining cost in per seat hardware bring new alternatives to the user

    Эволюционный процесс развития языков программирования

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    As you know, programming languages are a means of knowledge representation for computer systems . The article presents an overview of programming languages , conceptual ideas which have left their mark on the development of programming and used in modern languages at the moment. The main characteristics and properties of programming languages . Conceptual ideas of programming languages , described how to implement them in the semantic structures , as well as properties that characterize the language contribute to the choice of the best in terms of solving a particular problem

    Graphic Thinking and Digital Processes: Three Built Case Studies of Digital Materiality

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    Think strategic link between computer programming; digital modeling; the data; matter and CNC manufacturing in the various stages of the architectural project is key to update our discipline with new technologies. Our proposal to articulate and digital graphic thought processes; developable folded geometries and compositions is rooted in an expanded graphic thinking through multiple conceptual tools that are already part of the operational structure of our discipline

    Robot computer problem solving system

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    The conceptual, experimental, and practical phases of developing a robot computer problem solving system are outlined. Robot intelligence, conversion of the programming language SAIL to run under the THNEX monitor, and the use of the network to run several cooperating jobs at different sites are discussed
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