102 research outputs found
An Extension of NDT to Model Entity Reconciliation Problems
Within the development of software systems, the development of web applications may be one of the most
widespread at present due to the great number of advantages they provide such as: multiplatform, speed of
access or the not requiring extremely powerful hardware among others. The fact that so many web applications
are being developed, makes grotesque the volume of information that it is generated daily. In the management
of all this information, it appears the entity reconciliation problem, which is to identify objects referring to
the same real-world entity. This paper proposes to give a solution to this problem through a web perspective.
To this end, the NDT methodology has been taken as a reference and has been extended adding new activities,
artefacts and documents to cover this problem.Ministerio de Economía y Competitividad TIN2013-46928-C3-3-RMinisterio de Economía y Competitividad TIN2016-76956-C3-2-RMinisterio de Economía y Competitividad TIN2015-71938-RED
Entity Identification Problem in Big and Open Data
Big and Open Data provide great opportunities to businesses to enhance their competitive advantages if
utilized properly. However, during past few years’ research in Big and Open Data process, we have
encountered big challenge in entity identification reconciliation, when trying to establish accurate
relationships between entities from different data sources. In this paper, we present our innovative Intelligent
Reconciliation Platform and Virtual Graphs solution that addresses this issue. With this solution, we are able
to efficiently extract Big and Open Data from heterogeneous source, and integrate them into a common
analysable format. Further enhanced with the Virtual Graphs technology, entity identification reconciliation
is processed dynamically to produce more accurate result at system runtime. Moreover, we believe that our
technology can be applied to a wide diversity of entity identification problems in several domains, e.g., e-
Health, cultural heritage, and company identities in financial world.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-
A quality management based on the Quality Model life cycle
Managing quality is a hard and expensive task that involves the execution and control of processes and techniques.
For a good quality management, it is important to know the current state and the objective to be
achieved. It is essential to take into account with a Quality Model that specifies the purposes of managing
quality. QuEF (Quality Evaluation Framework) is a framework to manage quality in MDWE (Model-driven
Web Engineering). This paper suggests managing quality but pointing out the Quality Model life cycle. The
purpose is to converge toward a quality continuous improvement by means of reducing effort and time.Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-EJunta de Andalucía TIC-578
QuEF (Quality Evaluation Framework) for Model-Driven Web Methodologies
QuEF (Quality Evaluation Framework) is an environment for the assessment of Model-Driven Web Engineering (MDWE) methodologies. This approach is oriented towards the evaluation, through objectives measures, of the quality of MDWE methodologies in a specific environment. Given the high number of methodologies available and proposed over recent years, it has become necessary to define objective evaluation tools to enable organizations to improve their methodological environment and help designers of web methodologies to design new effective and efficient tools, processes and techniques. Since methodologies are constantly evolving, the need may arise not only to evaluate the quality but also to find out how it can be improved and how the quality improvement process could be optimized in order to reduce costs.Ministerio de Educación y Ciencia TIN2007-67843-C06_03Ministerio de Educación y Ciencia TIN2007- 30391-
Quality Issues on Model-Driven Web Engineering Methodologies
Nowadays, there are several development methodologies in the field of
model-driven web engineering (MDWE) which involve different levels of modeldriven
architecture (MDA): CIM, PIM, PSM, or code. Attending to the high number
of available methodologies, development teams may feel lost when choosing the
most suitable one for their projects. Furthermore, proposals usually appear and
people feel necessary to evaluate their quality in order to select the appropriate
methodology or even to find out the way to improve them. This chapter presents
the current work carried out in this field and it is oriented toward the definition of a
framework which enables an objective measurement of the proposals’ benefits.Ministerio de Educación y Ciencia TIN2007-67843-C06-03Ministerio de Educación y Ciencia TIN2007-30391-
Characterizing and evaluating the quality of software process modeling language: Comparison of ten representative model-based languages
Software organizations are very conscious that deployments of well-defined software processes improve software product development and its quality. Over last decade, many Software Process Modeling Languages (SPMLs) have been proposed to describe and manage software processes. However, each one presents advantages and disadvantages. The main challenge for an organization is to choose the best and most suitable SPML to meet its requirements. This paper proposes a Quality Model (QM) which has been defined conforms to QuEF (Quality Evaluation Framework). This QM allows to compare model-based SPMLs and it could be used by organizations to choose the most useful model-based SPML for their particular requirements. This paper also instances our QM to evaluate and compare 10 representative SPMLs of the various alternative approaches (metamodel-level approaches; SPML based on UML and approaches based on standards). Finally, this paper concludes there are many model-based proposals for SPM, but it is very difficult to establish with could be the commitment to follow. Some non-considered aspects until now have been identified (e.g., validation within enterprise environments, friendly support tools, mechanisms to carry out continuous improvement, mechanisms to establish business rules and elements for software process orchestrating).Ministerio de Economía y Competitividad TIN2016-76956-C3-2-R (POLOLAS
Improving NDT with Automatic Test Case Generation
The model-driven development defi nes the software development process as a set of
iterations to create models and a set of transformations to obtain new models. From
this point of view, this paper presents the enhancement of a model- driven approach,
called navigational development techniques (NDT), by means of new models and
transformations in order to generate test cases. It also states some conclusions from
the research work and practical cases in which this approach was used.Ministerio de Ciencia e Innovación TIN2010-20057-C03-02Ministerio de Ciencia e Innovación TIN 2010-12312-
2D Triangulation of Signals Source by Pole-Polar Geometric Models
The 2D point location problem has applications in several areas, such as geographic information systems, navigation systems, motion planning, mapping, military strategy, location and tracking moves. We aim to present a new approach that expands upon current techniques and methods to locate the 2D position of a signal source sent by an emitter device. This new approach is based only on the geometric relationship between an emitter device and a system composed of m ≥ 2 signal receiving devices. Current approaches applied to locate an emitter can be deterministic, statistical or machine-learning methods. We propose to perform this triangulation by geometric models that exploit elements of pole-polar geometry. For this purpose, we are presenting five geometric models to solve the point location problem: (1) based on centroid of points of pole-polar geometry, PPC; (2) based on convex hull region among pole-points, CHC; (3) based on centroid of points obtained by polar-lines intersections, PLI; (4) based on centroid of points obtained by tangent lines intersections, TLI; (5) based on centroid of points obtained by tangent lines intersections with minimal angles, MAI. The first one has computational cost O(n) and whereas has the computational cost O(n log n)where n is the number of points of interest. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.Spanish Ministry of Economy and Competitiveness TIN2016-76956-C3-2-RUniversity of Sevill
A framework and tool to manage Cloud Computing service quality
Cloud Computing has generated considerable interest in both companies specialized
in Information and Communication Technology and business context in general.
The Sourcing Capability Maturity Model for service (e-SCM) is a capability model for
offshore outsourcing services between clients and providers that offers appropriate strategies
to enhance Cloud Computing implementation. It intends to achieve the required
quality of service and develop an effective working relationship between clients and
providers. Moreover, quality evaluation framework is a framework to control the quality of
any product and/or process. It offers a tool support that can generate software artifacts to
manage any type of product and service efficiently and effectively. Thus, the aim of this
paper was to make this framework and tool support available to manage Cloud Computing
service quality between clients and providers by means of e-SCM.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-RJunta de Andalucía TIC-578
Tool Support for the Quality Assessment of MDWE Methodologies
Ministerio de Educación y Ciencia TIN2007-67843-C06-03Ministerio de Educación y Ciencia TIN2010-20057-C03-0
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