18,744 research outputs found
Using NLP tools in the specification phase
The software quality control is one of the main topics in the Software
Engineering area. To put the effort in the quality control during the
specification phase leads us to detect possible mistakes in an early
steps and, easily, to correct them before the design and implementation
steps start. In this framework the goal of SAREL system, a
knowledge-based system, is twofold. On one hand, to help software
engineers in the creation of quality Software Requirements
Specifications. On the other hand, to analyze the correspondence between
two different conceptual representations associated with two different
Software Requirements Specification documents.
For the first goal, a set of NLP and Knowledge management tools is
applied to obtain a conceptual representation that can be validated and
managed by the software engineer.
For the second goal we have established some correspondence measures in
order to get a comparison between two conceptual representations. This
information will be useful during the interaction.Postprint (published version
The Synonym management process in SAREL
The specification phase is one of the most important and least supported
parts of the software development process. The SAREL system has been
conceived as a knowledge-based tool to improve the specification phase.
The purpose of SAREL (Assistance System for Writing Software
Specifications in Natural Language) is to assist engineers in the
creation of software specifications written in Natural Language (NL).
These documents are divided into several parts. We can distinguish the
Introduction and the Overall Description as parts that should be used in
the Knowledge Base construction. The information contained in the
Specific Requirements Section corresponds to the information represented
in the Requirements Base. In order to obtain high-quality software
requirements specification the writing norms that define the linguistic
restrictions required and the software engineering constraints related
to the quality factors have been taken into account. One of the controls
performed is the lexical analysis that verifies the words belong to the
application domain lexicon which consists of the Required and the
Extended lexicon. In this sense a synonym management process is needed
in order to get a quality software specification. The aim of this paper
is to present the synonym management process performed during the
Knowledge Base construction. Such process makes use of the Spanish
Wordnet developed inside the Eurowordnet project. This process generates
both the Required lexicon and the Extended lexicon that will be used
during the Requirements Base construction.Postprint (published version
The importance of being mature: the effect of demographic maturation on global per-capita GDP
Given that savings behaviour and worker productivity have strong life-cycle components and given that demographic profiles vary across countries, population age structure should be linked to differences in levels of economic development. In this paper we measure the economic importance of age structure variation for the global economy. We find that even after adjusting for country-specific effects, demographic maturation has been associated with nearly half of the evolution of global per-capita GDP since 1960. We also find that age structure differences can account for just over half of the variation in worldwide per capita GDP (i.e. the lack of sigma convergence) observed since 1960. Taken as a whole, these results complement recent theoretical and empirical work on the importance of population size and economic development and reinforce empirical work linking mature demographic age structures with faster cross-country economic growth rates. JEL Classification: J13, J22, J24, O11, O40age structure, cross-country growth, life cycle savings model
Emotion and Metacontrol
In the ICEA Project we are concerned with the extraction of general designs from rat brains.
We are interested in designs that capture the core integrational aspects of emotion and cognition
Unprecedented layered coordination polymers of dithiolene group 10 metals: Magnetic and electrical properties
One-pot reactions between Ni(ii), Pd(ii) or Pt(ii) salts and 3,6-dichloro-1,2-benzenedithiol (HSC6H2Cl2SH) in KOH medium under argon lead to a series of bis-dithiolene coordination polymers. X-ray analysis shows the presence of a common square planar complex [M(SC6H2Cl2S)2]2- linked to potassium cations forming either a two-dimensional coordination polymer network for {[K2(ÎĽ-H2O)2(ÎĽ-thf)(thf)2][M(SC6H2Cl2S)2]}n [M = Ni (1) and Pd (2)] or a one-dimensional coordination polymer for {[K2(ÎĽ-H2O)2(thf)6][Pt(SC6H2Cl2S)2]}n (3). In 3 the coordination environment of the potassium ions may slightly change leading to the two-dimensional coordination polymer {[K2(ÎĽ-H2O)(ÎĽ-thf)2][Pt(SC6H2Cl2S)2]}n (4) that crystallizes together with 3. The physical characterization of compounds 1-3 show similar trends, they are diamagnetic and behave as semiconductorsWe thank financial support from MICINN (MAT2013-46753-C2-1-P, CTQ2014-52758-P and MAT2014-56143-R) and Generalitat Valenciana (PrometeoII/2014/076
Against Animats
Animats are artificial animals, a contraction of anima-materials. The term includes physical robots and virtual simulations. Animat research, a subset of Artificial Life studies, has become rather popular since Rodney Brooks' seminal paper "Intelligence without representation". The word was coined by S.W. Wilson in 1991, in the first proceedings of the Simulation of Adaptive Behaviour, which was also called From Animals to Animats
Noise spectroscopy of a quantum-classical environment with a diamond qubit
Knowing a quantum system's environment is critical for its practical use as a
quantum device. Qubit sensors can reconstruct the noise spectral density of a
classical bath, provided long enough coherence time. Here we present a protocol
that can unravel the characteristics of a more complex environment, comprising
both unknown coherently coupled quantum systems, and a larger quantum bath that
can be modeled as a classical stochastic field. We exploit the rich environment
of a Nitrogen-Vacancy center in diamond, tuning the environment behavior with a
bias magnetic field, to experimentally demonstrate our method. We show how to
reconstruct the noise spectral density even when limited by relatively short
coherence times, and identify the local spin environment. Importantly, we
demonstrate that the reconstructed model can have predictive power, describing
the spin qubit dynamics under control sequences not used for noise
spectroscopy, a feature critical for building robust quantum devices. At lower
bias fields, where the effects of the quantum nature of the bath are more
pronounced, we find that more than a single classical noise model are needed to
properly describe the spin coherence under different controls, due to the back
action of the qubit onto the bath.Comment: Main text: 5 pages, 5 figures. Supplemental material: 7 pages, 7
figures, 4 table
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