9,112 research outputs found
Developing an h-index for OSS developers
The public data available in Open Source Software (OSS) repositories has been used for many practical reasons: detecting community structures; identifying key roles among developers; understanding software quality; predicting the arousal of bugs in large OSS systems, and so on; but also to formulate and validate new metrics and proof-of-concepts on general, non-OSS specific, software engineering aspects. One of the results that has not emerged yet from the analysis of OSS repositories is how to help the “career advancement” of developers: given the available data on products and processes used in OSS development, it should be possible to produce measurements to identify and describe a developer, that could be used externally as a measure of recognition and experience. This paper builds on top of the h-index, used in academic contexts, and which is used to determine the recognition of a researcher among her peers. By creating similar indices for OSS (or any) developers, this work could help defining a baseline for measuring and comparing the contributions of OSS developers in an objective, open and reproducible way
Concurrent -vector fields and energy beta-change
The present paper deals with an \emph{intrinsic} investigation of the notion
of a concurrent -vector field on the pullback bundle of a Finsler manifold
. The effect of the existence of a concurrent -vector field on some
important special Finsler spaces is studied. An intrinsic investigation of a
particular -change, namely the energy -change
($\widetilde{L}^{2}(x,y)=L^{2}(x,y)+ B^{2}(x,y) with \
B:=g(\bar{\zeta},\bar{\eta})\bar{\zeta} \pi\Gamma\widetilde{\Gamma}\beta$-change of the fundamental linear connection in Finsler geometry: the
Cartan connection, the Berwald connection, the Chern connection and the
Hashiguchi connection. Moreover, the change of their curvature tensors is
concluded.
It should be pointed out that the present work is formulated in a prospective
modern coordinate-free form.Comment: 27 pages, LaTex file, Some typographical errors corrected, Some
formulas simpifie
Efficient Localization of Discontinuities in Complex Computational Simulations
Surrogate models for computational simulations are input-output
approximations that allow computationally intensive analyses, such as
uncertainty propagation and inference, to be performed efficiently. When a
simulation output does not depend smoothly on its inputs, the error and
convergence rate of many approximation methods deteriorate substantially. This
paper details a method for efficiently localizing discontinuities in the input
parameter domain, so that the model output can be approximated as a piecewise
smooth function. The approach comprises an initialization phase, which uses
polynomial annihilation to assign function values to different regions and thus
seed an automated labeling procedure, followed by a refinement phase that
adaptively updates a kernel support vector machine representation of the
separating surface via active learning. The overall approach avoids structured
grids and exploits any available simplicity in the geometry of the separating
surface, thus reducing the number of model evaluations required to localize the
discontinuity. The method is illustrated on examples of up to eleven
dimensions, including algebraic models and ODE/PDE systems, and demonstrates
improved scaling and efficiency over other discontinuity localization
approaches
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