536 research outputs found

    Role clarity deficiencies can wreck agile teams

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    Background One of the twelve agile principles is to build projects around motivated individuals and trust them to get the job done. Such agile teams must self-organize, but this involves conflict, making self-organization difficult. One area of difficulty is agreeing on everybody’s role. Background What dynamics arise in a self-organizing team from the negotiation of everybody’s role? Method We conceptualize observations from five agile teams (work observations, interviews) by Charmazian Grounded Theory Methodology. Results We define role as something transient and implicit, not fixed and named. The roles are characterized by the responsibilities and expectations of each team member. Every team member must understand and accept their own roles (Local role clarity) and everbody else’s roles (Team-wide role clarity). Role clarity allows a team to work smoothly and effectively and to develop its members’ skills fast. Lack of role clarity creates friction that not only hampers the day-to-day work, but also appears to lead to high employee turnover. Agile coaches are critical to create and maintain role clarity. Conclusions Agile teams should pay close attention to the levels of Local role clarity of each member and Team-wide role clarity overall, because role clarity deficits are highly detrimental

    a contest ; the web-development platform comparison

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    "Plat_Forms" is a competition in which top-class teams of three programmers compete to implement the same requirements for a web-based system within 30 hours, each team using a different technology platform (Java EE, .NET, PHP, Perl, Python, or Ruby on Rails). The results will provide new insights into the real (rather than purported) pros, cons, and emergent properties of each platform. The evaluation will analyze many aspects of each solution, both external (usability, functionality, reliability, performance, etc.) and internal (structure, understandability, flexibility, etc.)

    Investigation of the CasCor family of learning algorithms

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    The SIS project: software reuse with a natural language approach

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    Comparison of MasPar MP-1 and MP-2 communication operations

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    The CuPit compiler for the MasPar MP-1 and MP-2: a literate programming document

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    This document contains the complete source code of the CuPit compiler for the MasPar MP-1/MP-2 SIMD parallel machines. The compiler is presented as a FunnelWeb literate programming document that contains definitions for the various specification files needed by the Eli compiler construction system.The exactly same set of files that enabled FunnelWeb to produce this document also enable Eli to produce the complete executable compiler, run time system, and standard library. In this document the source code is complemented by interspersed documentation text and several larger introduction text blocks and appendices, in particular a description of all errors found in the compiler during its development and use.The compiler takes CuPit source code as input and produces MPL source code as output. CuPit is a special purpose language for neural network algorithms which dynamically change the topology of the neural network. The compiler is designed to optimize the irregular problems that arise when executing such algorithms for both data locality and load balancing.The compiler can produce several different versions of code: (1) a plain do-as-good-as-you-can-without-any-tricks one (unoptimized), (2) one that uses a better data distribution (statically optimized), (3) one that contains additional instructions to collect information about program behavior at run time, also known as the "rti version" meaning "run time information version" (dynamically optimized)

    A parallel programming model for irregular dynamic neural networks

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