<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>DSpace Comunidad:</title>
  <link rel="alternate" href="http://hdl.handle.net/10045/8744" />
  <subtitle />
  <id>http://hdl.handle.net/10045/8744</id>
  <updated>2013-06-18T05:33:21Z</updated>
  <dc:date>2013-06-18T05:33:21Z</dc:date>
  <entry>
    <title>Monitoring strategic goals in data warehouses with awareness requirements</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/25162" />
    <author>
      <name>Souza, Vítor E. Silva</name>
    </author>
    <author>
      <name>Mazón López, José Norberto</name>
    </author>
    <author>
      <name>Garrigós Fernández, Irene</name>
    </author>
    <author>
      <name>Trujillo Mondéjar, Juan Carlos</name>
    </author>
    <author>
      <name>Mylopoulos, John</name>
    </author>
    <id>http://hdl.handle.net/10045/25162</id>
    <updated>2012-11-15T13:09:57Z</updated>
    <published>2012-01-01T00:00:00Z</published>
    <summary type="text">Título: Monitoring strategic goals in data warehouses with awareness requirements
Autor/es: Souza, Vítor E. Silva; Mazón López, José Norberto; Garrigós Fernández, Irene; Trujillo Mondéjar, Juan Carlos; Mylopoulos, John
Resumen: A data warehouse (DW) system stores data from multiple data sources in integrated form and provides capabilities for monitoring business operations to ensure compliance to strategic goals. As such, DWs constitute a fundamental building block for Business Intelligence (BI) operations. In this paper, we introduce the notion of Awareness Requirements (AwReqs) in the requirements analysis and elicitation phase for DWs. In this context, AwReqs provide analysts with the means for eliciting and modeling requirements over performance measures (indicators) to appraise the success or failure of strategic goals. To demonstrate the benefit of our approach, we present a typical business example throughout the paper and show how we can establish in the early stages of DW design the adequacy of the design for BI operations.</summary>
    <dc:date>2012-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Using web-based personalization on spatial data warehouses</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/25157" />
    <author>
      <name>Glorio, Octavio</name>
    </author>
    <author>
      <name>Mazón López, José Norberto</name>
    </author>
    <author>
      <name>Garrigós Fernández, Irene</name>
    </author>
    <author>
      <name>Trujillo Mondéjar, Juan Carlos</name>
    </author>
    <id>http://hdl.handle.net/10045/25157</id>
    <updated>2012-11-15T12:52:46Z</updated>
    <published>2010-01-01T00:00:00Z</published>
    <summary type="text">Título: Using web-based personalization on spatial data warehouses
Autor/es: Glorio, Octavio; Mazón López, José Norberto; Garrigós Fernández, Irene; Trujillo Mondéjar, Juan Carlos
Resumen: Spatial data warehouses (SDW) rely on extended multidimensional (MD) models in order to provide decision makers with appropriate structures to intuitively analyse spatial data. Several SDW development approaches provide a conceptual modeling and some guidelines in order to obtain logical schemas. However, there are two main drawbacks (i) spatial modeling is still complex for providing each decision maker with their own information needs, and (ii) SDW may be potentially large and spatial structures become increasingly complex to be analysed at a glance. Thus, representing and acquiring the required spatial information is more costly than expected and decision makers may get frustrated during the analysis. On the other hand, Web Engineering address similar problems (heterogeneous audience, different data sources and increasing amount and complexity of information) by using personalization rules. PRML (Personalization Rules Modeling Language) is a language that has been successfully applied to several Web systems in order to perform those personalization rules for every particular user and needs. Therefore, we have decided to use personalization rules and we have adapted the PRML to certain SDW aspects in order to introduce the right spatiality and deliver the correct information for every user needs. The great advantage of our approach is that each decision maker can easily include spatial data according to their own needs at conceptual level, while they can also conceptually get the right spatial schema instance avoiding exploring in a large and complex SDW.</summary>
    <dc:date>2010-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Web engineering approaches for requirement analysis: a systematic literature review</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/25155" />
    <author>
      <name>Aguilar Calderón, José Alfonso</name>
    </author>
    <author>
      <name>Garrigós Fernández, Irene</name>
    </author>
    <author>
      <name>Mazón López, José Norberto</name>
    </author>
    <author>
      <name>Trujillo Mondéjar, Juan Carlos</name>
    </author>
    <id>http://hdl.handle.net/10045/25155</id>
    <updated>2012-11-15T12:49:47Z</updated>
    <published>2010-01-01T00:00:00Z</published>
    <summary type="text">Título: Web engineering approaches for requirement analysis: a systematic literature review
Autor/es: Aguilar Calderón, José Alfonso; Garrigós Fernández, Irene; Mazón López, José Norberto; Trujillo Mondéjar, Juan Carlos
Resumen: Web engineering software development is facing continuous changes in technology implementation. This involves analysts, developers and designers to provide extra effort in the design and maintenance of Web applications in order to adapt them to changes in requirements and implementation technologies. In this paper, a systematic review is presented in order to obtain, in a formal way, the current state-of-the-art about approaches for modeling, analysis and specification of Web engineering requirements, supported with a formal and well defined strategy.</summary>
    <dc:date>2010-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Specifying aggregation functions in multidimensional models with OCL</title>
    <link rel="alternate" href="http://hdl.handle.net/10045/21199" />
    <author>
      <name>Cabot, Jordi</name>
    </author>
    <author>
      <name>Mazón López, José Norberto</name>
    </author>
    <author>
      <name>Pardillo Vela, Jesús</name>
    </author>
    <author>
      <name>Trujillo Mondéjar, Juan Carlos</name>
    </author>
    <id>http://hdl.handle.net/10045/21199</id>
    <updated>2012-03-08T09:31:04Z</updated>
    <published>2010-01-01T00:00:00Z</published>
    <summary type="text">Título: Specifying aggregation functions in multidimensional models with OCL
Autor/es: Cabot, Jordi; Mazón López, José Norberto; Pardillo Vela, Jesús; Trujillo Mondéjar, Juan Carlos
Resumen: Multidimensional models are at the core of data warehouse systems, since they allow decision makers to early define the relevant information and queries that are required to satisfy their information needs. The use of aggregation functions is a cornerstone in the definition of these multidimensional queries. However, current proposals for multidimensional modeling lack the mechanisms to define aggregation functions at the conceptual level: multidimensional queries can only be defined once the rest of the system has already been implemented, which requires much effort and expertise. In this sense, the goal of this paper is to extend the Object Constraint Language (OCL) with a predefined set of aggregation functions. Our extension facilitates the definition of platform-independent queries as part of the specification of the conceptual multidimensional model of the data warehouse. These queries are automatically implemented with the rest of the data warehouse during the code-generation phase. The OCL extensions proposed in this paper have been validated by using the USE tool.</summary>
    <dc:date>2010-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

