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elements of Simple Dublin Core and the Pantoquilho’s template, the elements contained in Qualified Dublin Core were also considered in this comparative process, but none of them had equivalents in the template used. Several mappings between elements of the Dublin Core and elements of other structures have already been performed and made available in the literature. An example of such mapping is presented in [21]. B. Addition of New Metadata Elements and Creation of Application Rules From the mapping described above, all equivalent elements have been identified and combined, thereby allowing that the Pantoquilho’s template to be merged with Dublin Core, giving rise to the basic structure of the DC2AP. Most elements of the Pantoquilho’s template that had direct equivalent mapping became element refinements of others from the Dublin Core. This happened because Dublin Core elements are generic and therefore require specializations to compose an application profile for a specific domain. These necessary specializations were made by the elements of the chosen template [8]. During the merge process of the structures in question, two elements from Pantoquilho’s template were discarded. The element "Applicability" was discarded because it has semantics very similar to the element "Problem" and therefore was considered redundant. The element "Structural adjustments" was discarded for not fitting in the context of an application profile of metadata, where application rules are well defined, not being necessary to document structural adjustments performed during use of the profile. Following the fusion of structures, some elements have undergone semantic adjustments and new ones were proposed to complete the set of elements that composes DC2AP. Table 2 presents all the elements that make up the profile proposed by this work. TABLE I. MAPPING DUBLIN CORE TO PANTOQUILO’S ANALYSIS PATTERN TEMPLATE Simple Dublin Core element Pantoquilho’s Template element Title 1. Name 2. Also Known As Creator 3. History * Subject 7. Context 5. Problem 6. Motivation Description 7. Context 8. Applicability 14. Examples * 18. Known Uses * Publisher No equivalent Contributor 3. History * Date 3. History * Type No equivalent Format No equivalent Indentifier 1. Name * Source 15. Related Patterns * Language No equivalent Simple Dublin Core element Relation Coverage Rights No equivalent Pantoquilho’s Template element 13. Anti-Patterns Trap * 15. Related Patterns * 16. Design Patterns * No equivalent No equivalent 4. Structural adjustments 9. Requirements 9.1. Functional requirements 9.2. Non-functional requirements 9.3. Dependencies and contributions 9.4. Conflict identification & guidance to resolution 9.5. Priorities 9.6. Participants 10. Modelling 10.1. Structure 10.1.1. Class diagram 10.1.2. Class description 10.2. Behaviour 10.2.1. Collaboration or sequence diagrams 10.2.2. Activity diagrams 10.2.3. State diagrams 10.3. Solution Variants 11. Resulting context 12. Consequences 17. Design guidelines * Partly equivalent. As shown in Table 2, DC2AP has some elements for version control of documented patterns and others for the sharing of experiences of use. These features were incorporated into this profile to allow the creation of dynamic collections of analysis patterns, where new improved versions of the patterns can be proposed from the collaboration of experience of usage of them. Moreover, all the versions of the analysis patterns may be related to each other, thereby providing the creation of a repository of analysis patterns rich in details. These resources allow potential users to retrieve the version that best meets their needs more efficiently. All these characteristics are consistent with the proposal of the APRI [5]. The analysis patterns usually have rules controlling their application. After defining the elements that compose DC2AP, it was proposed rules on the obligation, occurrence and type of value of each of the proposed elements. These rules are presented in Table 2 by acronyms, described at the table end. Due to limited space, the semantic description of each of the elements that compose DC2AP, as well as some details of the rules for applying them are not presented in this paper. However a detailed technical description of this application profile can be obtained at [22]. TABLE II. DC2AP ELEMENTS AND APPLICATION RULES DC2AP Element and their Application Rules 1. Identifier [M] [S] [UNS] 2. Title [M] [S] [St] 2.1. Alternative Title[O] [Mu] [St] 3. Creator [M] [Mu] [St] New 513
DC2AP Element and their Application Rules 4. Subject [M] [Mu] [St] 5. Description [M] [S] [N] 5.1. Problem [M] [S] [St] 5.2. Motivation [M] [Mu] [St] 5.3. Context [M] [S] [St] 6. Publisher [O] [Mu] [St] 7. Contributor [Cd] [Mu] [St] 8. Date [M] [S] [N] 8.1. Created [M] [S] [D] 8.2. Modified [Cd] [S] [D] 5.2.1. Example [M] [Mu] [St] 5.2.2. Known Uses ** [O] [Mu] [St] New 9. Type [M] [S] [US] 9.1. Notation [M] [S] [St] YES 10. Format [M] [Mu] [US] 11. Source [Cd] [S] [UNS] 12. Language [M] [S] [US] 13. Relation [Cd] [S] [N] 14. Coverage [O] [Mu] [St] 15. Rights [Cd] [Mu] [US] 16. History * [M] [Mu] [N] 17. Requirements [M] [S] [N] 18. Modelling [M] [S] [N] 13.1. Is Version of [Cd] [S] [UNS] 13.2. Is Replaced by * [Cd] [Mu] [UNS] 13.3. Replaces * [Cd] [Mu] [UNS] 13.4. Is Part of [O] [Mu] [UNS] 13.5. Has Part [O] [Mu] [UNS] 13.6. Is Designed with ** [O] [Mu] [UNS] YES 13.7. Should Avoid ** [O] [Mu] [UNS] YES 13.8. Complemented by ** [O] [Mu] [UNS] YES 13.9. About[Cd] [S] [St] 16.1. Event Date [M] [S] [D] YES 16.2. Author [M] [Mu] [St] YES 16.3. Reason [M] [S] [St] YES 16.4. Changes [Cd] [S] [St] YES 17.1. Functional Requirements [M] [Mu] [St] 17.2. Non-functional Requirements [O] [Mu] [St] 17.3. Dependencies and Contributions [M] [S] [St] 17.3.1. Dependency Graph [M] [S] [U] 17.3.2. Contribution Graph [Cd] [S] [U] 17.4. Conflict identification & Guidance to Resolution [Cd] [Mu] [St] 17.5. Priorities Diagram [M] [S] [U] 17.6. Participants [M] [Mu] [St] 18.1. Behaviour [M] [S] [N] 18.2. Structure [M] [S] [N] 18.1.1. Use Case Diagram [M] [S] [U] 18.1.2. Collaboration/ Sequence Diagrams [M] [Mu] [U] 18.1.3. Activity/State Diagrams [O] [Mu] [U] 18.2.1. Class Diagram [M] [S] [U] 18.2.2. Class Descriptions [M] [S] U] 18.2.3. Relationship Descriptions [M] [Mu] [St] 18.3. Solution Variants ** [O] [Mu] [U] YES YES YES YES YES DC2AP Element and their Application Rules New 19. Resulting Context ** [O] [Mu] [St] 20. Design Guidelines ** [O] Mu] [St] 21. Consequences 21.1. Positive [M] [Mu] [St] YES [M] [S] N] 21.2. Negative [M] [Mu] [St] YES Rules’ Acronyms Obligatoriness Occurrence Value Type [M] Mandatory [O] Optional [Cd] Conditional [S] Single [Mu] Multiple IV. [St] String [D] Date [U] URI [N] Null [UNS] URI, number or string [US] URI and string EXAMPLE * Version Control element. ** Experiences Collaboration element. In order to demonstrate the application of metadata profile proposed in this work, Table 3 presents an example that uses DC2AP to specify the well-known Fowler’s analysis pattern called Organization Hierarchies, proposed in [3]. Not all DC2AP elements are presented in this specification, since some necessary information for these elements are absent in the original specification made by Fowler. TABLE III. ORGANIZATION HIERARCHIES PATTERN SPECIFICATION Example of use DC2AP 1. Identifier: OrganizationHierarchies-v1 2. Title: 2.1. Alternative Title: Organization Hierarchies Hierarquias de organização 3. Creator: Martin Fowler 4. Subject: Companies, Hierarchy, Organizational Structure, Sudsidiaries 5. Description 5.1. Problem: There are many systems where we need to manage the hierarchy of a n organization, registering its subsidiaries and linking them in accordance with the rules of hierarchy. How can we represent this process in a general and abstract way? 5.2. Motivation: - An organizational hierarchy has subdivisions like Operating Units, Regions, Divisions and Sales Offices. - Operating Units are divided into Regions. - Regions are divided into Divisions. - Divisions are divided into Sales Offices. - We need to provide a solution easy to be changed because organizations undergo changes in its hierarchy over the course of time. 5.2.1. Example: - A management system of a multinational company, for example, Microsoft. - A management system of a na tional company that has several branches scattered throughout the territory of a country. 5.3. Context: This pattern is valuable to institutions or companies that have any subsidiaries. In some cases institutions may have more than one hierarchical organizational structure, but this is not a rule. 6. Publisher: Lucas F. M. Vegi 7. Contributor: Lucas F. M. Vegi 8.1. Created: 1997 8. Date 8.2. Modified: <strong>2012</strong>-01-15 9. Type: Analysis Pattern 9.1. Notation: UML 10. Format: JPEG and XMI 11. Source: Party Pattern [3] 12. Language: English 514
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SEKE San Francisco Bay July 1-3 201
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Copyright © 2012 by Knowledge Syst
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The 24 th International Conference
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Zhenyu Chen, Nanjing University, Ch
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Riccardo Martoglia, University of M
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Poster/Demo Sessions Co-Chairs Fars
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Evaluating the Cost-Effectiveness o
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Program Understanding Evaluating Op
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An Empirical Study of Execution-Dat
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Computer Forensics: Toward the Cons
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Modeling Bridging KDM and ASTM for
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A Mapping Study on Software Product
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A proposal for the improvement of t
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Panel on Future Trends of Software
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een available for analysis. Social
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The rest of this paper is orga nize
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Now we assume is given, we first pr
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“iphone” and “blackberry” a
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nique estimate the impact set based
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Figure 1. An example to illustrate
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trategy, the results should support
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Figure 1. System Architecture would
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Figure 2. Sequence Diagram of Train
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deployed on Android phone and runs
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the ontology information is only us
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Both kinds of axioms lead to an inh
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engineer and achieving requirements
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elicitation and the act ivities con
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Step 2. Step 3. 1.2. Use of Procedu
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Figure 6.b. Task: Cognitive Analysi
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original User’s Discourse / Speec
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II. RELATED WORK Business processes
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test, we did not find any significa
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For the indicator “requirements a
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the model checkers SPIN [8] and NuS
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allow for the presentation of syste
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the requirement or design phases sh
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using the CR estimates against the
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Data Set TABLE II. DATA SETS Artifa
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Figure 4. Relative Error in the Est
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Take basic requirements from user a
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sent Semantic Web Ontologies. It co
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The rest of the paper is organized
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and the risk level. Existing assess
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diagram could give developers an in
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Figure 2. Co
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• Sensor(Lexical): at the top and
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An Overview of the RSLingo Approach
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Figure 2. Overview of the RSLingo a
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DETECTING EMERGENT BEHAVIOR IN DIST
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Definition 2: For a set of MSCs M,
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Stability of Filter-Based Feature S
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Algorithm 1: Threshold-Based Featur
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MI KS GM AUC PRC S2N RUS35 RUS50 RO
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80
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82
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84
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86
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Cloud Application Resource Mapping
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Fig. 1. UML Collaboration Diagram m
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Fig. 2. UML Activity Diagram modeli
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An Empirical Study of Software Metr
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TABLE I SOFTWARE DATASETS CHARACTER
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1) Classifiers: In this study, soft
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Progressive Clustering with Learned
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IV. DATA SOURCES We have been worki
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meta-data we assign to indicate sig
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Multi-Objective Optimization of Fuz
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uilding FNNs that satisfy different
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VI. EXPERIMENTAL RESULTS The presen
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Generating Performance Test Scripts
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test duration(s) for the scenario(s
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which are composed by the name and
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A Catalog of Patterns for Concept L
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assisted solution for lattice analy
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The complete lattice of the class s
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Client-Side Rendering Mechanism: A
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JavaScript code directly within the
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Fig. 6. CPU usage percentage of pre
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may introduce the extra learning cu
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[9] but no validation is provided i
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One of the st udents from Group B t
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scribed by the equation: where η i
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4 Model Checking DPN We use HyTech
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Recommender systems are usually cla
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such as one week and gradually dete
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•
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146
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Enforcing Contracts for Aspect-orie
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Table 1. Behavioral Rules in LSD [9
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1 public privileged aspect Update {
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Towards More Generic Aspect-Oriente
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vals must be denoted by some notion
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Aspect-Orientation in the Developme
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Table II SELECTED PRIMARY STUDIES #
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Evaluating Open Source Reverse Engi
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Table 1. Candidate reverse engineer
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Some tools may perform the needed f
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Coordination Model to Support Visua
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this CMV approach we employee three
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colored according to the Gradient T
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Improving Program Comprehension in
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The method used to support and eval
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
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An Approach for Software Component
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properties. In particular, the foll
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Conference Dataset Anatomy Dataset
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equipment maintenance node may cont
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Online Anomaly Detection for Compon
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B. Monitoring Static Method Invocat
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undle which is responsible for pars
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An Exploratory Study of One-Use and
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Figure 1. Mindmap of Reuse Design P
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subject also caused outliers for re
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Choosing licenses in free open sour
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The important aspect is to provide
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that holds a model of each software
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Online Probability Application Char
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TABLE II THE PARAMETERS FOR THE HAR
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[10] N. Gunther, “Hit-and-run tac
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Section 5 d iscusses some related w
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model and the analysis results. The
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tree view of UML model, as show in
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II. BACKGROUND In this section, we
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Algorithm 2 MarkStatements function
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(a) printtok (b) printtok2 (c) sche
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Gupta extended HGS and proposed the
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manage intellectual knowledge with
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D. Manage Training When any trainin
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TABLE II. COMPARISON BETWEEN THE EX
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B. Trace Semantics of DAP Fig. 1. A
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∀ [DR ′ ] []gen [; ] [D]□ [;
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transformation idea in MDA [13] . T
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MappingRule MappingTGtoHP { [Rule I
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executing a continuous transition,
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protocol of DATS we used is properl
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in Boolean search and reasoning has
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to be broken by expelling one of it
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where, among other things: 1. The t
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A never-ending language learner cal
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4. i 2 Learning(DEC, mex) via Bias
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4.4. An Illustrative Example Now le
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Evolutionary Learning and Fuzzy Log
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In addition to the rules, the knowl
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As described in the previous sectio
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the ontology hierarchy; learning a
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three different learning techniques
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TABLE IX. USING SVM FOR LEARNING tr
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Siemens set contains seven C progra
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The program tcas is not included be
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esults. To be more specific, they w
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According to IEEE [10], regression
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(a) Volatility (b) Complexity (c) R
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It mimics the test engineer knowled
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integrate the test results. • Aut
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No tify the cloud controller to get
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of execution-data classification. T
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Figure 1. Boxplots of average AUC r
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anches is more applicable than the
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To validate the proposed approach,
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contains broadcast of Subject to Ob
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S 1a=1; S 2b=5; cobegin { S 3read
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.
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298
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A functionality is the ability of a
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level); in UML/J2EE technology [11]
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• to provide a unified catalogue
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flexibility they provide to model s
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complete in zero-time, and thus hav
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figure assumes the experiment with
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could be a practical way of dealing
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and (iv) the reduced amount of line
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III.BUSINESS RULES FRAMEWORK FOR KN
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explanation for why the program wan
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320
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322
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A model introducing SOAs quality at
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there exist a hierarchical ranking
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Software as a Service: Undo Hernán
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operations consist in reinjection i
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stored. If event failure, external
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ensure users the trustworthiness of
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Patient Doctor Doctor Patient Direc
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going down at a time. This is a rea
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Decidability of Minimal Supports of
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A S 1 1 1 0 0 0 1 1 0 0 0 1 1
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satisfies R( D) R( C) S 1. Compa
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Automated Generation of Concurrent
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target of testing. A blackbox test
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sequence. Each t i θ i in the firi
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SAMAT -AToolforSoftware Architectur
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Figure 4. The SAM Hierarchical Mode
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High-level Petri net Place Place Ty
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verification and thus is often limi
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(r 1 r 2 ...r k ) 1 denotes Path [r
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Fig. 3. Example a 3-compound weakly
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364
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366
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368
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necessary before verification. In t
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CTL formula as: AG (( jp EX( jp ad
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equirements level, like EA-Miner [1
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376
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II. RESOURCE-ORIENTED WORKFLOW MODE
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eventually triggers a co mmon task.
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Input: A resource oriented workflow
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access control exists, the action i
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(ACCDA), is customized to address a
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ICrudSchema and shown in Figure 3.
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Connectors for Secure Software Arch
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Non-repudiation security service pr
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anAsynchronousCustomer InterfaceCon
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How Social Network APIs Have Ended
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OSN Social Feed Unique Features Con
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users can control the reach of thei
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Computer Forensics: Toward the Cons
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In 2009, Cohen et al. in [4] have o
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dcterms:contributor, dcterms:creato
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A Holistic Approach to Software Tra
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Figure 1. Figure 1 shows an overvie
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B. Case study in a proprietary proj
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Pointcut Design with AODL Saqib iqb
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system attributes, methods and exec
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Feature modeling and Verification b
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hasOptionalPart hasPart hasMandato
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A Context Ontology Model for Pervas
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Figure 1. UML view of the model. Th
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Figure 3. Architecture for deliveri
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Ontology-based Representation of Si
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Figure 2. Upper Ontology fragment f
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I2Sim simulation model was transfor
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An ontology-based approach for stor
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fying the equivalences between conc
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• Homonymy conflicts: occur when
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Automatic Generation of Architectur
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we dealt w ith the verticals rules.
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Towards Architectural Evolution thr
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different from replacing it, we dec
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Using FCA-based Change Impact Analy
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Table 2. Impact set of C1,C2,C5 cha
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Figure 3. The PF and PTS results fo
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Forecasting Fault Events in Power D
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which the airport data did not cont
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Page 493 and 494: Testing Interoperability Security P
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Page 515 and 516: A Tiny Specification Metalanguage W
Page 517 and 518: C. Syntax Extensions The expressive
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Page 525 and 526: Figure 1. The process for engineeri
Page 527 and 528: Figure 4. The abstractions extracte
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Page 531 and 532: Algorithm 1: Algorithm to recursive
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Page 535 and 536: A. Pattern Reuse In patterns reuse
Page 537 and 538: IV. SCATTER In order to enhance pat
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Page 545 and 546: 21. Consequences Example of use DC2
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Page 549 and 550: 2.3.1 Complementarity of MDD techno
Page 551 and 552: 3.2.2 EAggregateRelationship The EA
Page 553 and 554: cess. The proposal follows the ADM
Page 555 and 556: II. OVERVIEW OF MODAL TRANSITION SY
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Page 559 and 560: Suppose P = 〈S P , SP i , AI P ,
Page 561 and 562: Adaptive software should basically
Page 563 and 564: A. Step S1 - Define the Business Pr
Page 565 and 566: F. Step S6 - Monitor at Run-Time Th
Page 567 and 568: Figure 1, a metamodel defines an XM
Page 569 and 570: Figure 3 is a feature diagram that
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Page 573 and 574: Pub-T Tc Tc Sub-T Sub-T Figu
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Page 579 and 580: proposed in this work requires the
Page 581 and 582: FTS is an important research area,
Page 583 and 584: C. Dependent Variables and Measures
Page 585 and 586: D. Conclusion Validity Conclusion v
Page 587 and 588: evaluation of team productivity, qu
Page 589 and 590: Figure 3: Process Fragment Example
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Fig. 1: Swing Framework Class Diagr
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ize:Class”, with an empty precond
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Fig. 11: Overwritten Method Fig. 12
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Investigating the use of Bayesian n
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process for the network. Thus, this
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Reuse of Experiences Applied to Req
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Step 1: To start the process, the u
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Specification of Safety Critical Sy
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current belief of agents in order t
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Using the Results from a Systematic
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obtained from the categorization of
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that automatically presents the usa
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Improving a Web Usability Inspectio
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Following the experimental methodol
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About the category “Improvements
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Identification Guidelines for the D
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created according to the preview re
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In our analysis, the “Government
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In the following, we present the re
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USE SCENARIO The application Vuelos
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[8] Mayhew, D., “The Usability En
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Interaction State Set Structure Dat
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B. Component Model Fig. 2 show s th
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As a continuation of our research w
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PROMETHEE methods [3] belong to a f
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comparison rule, a value of 1/9 is
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TABLE V: Supermatrix for the exampl
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for knowledge sharing. Based on str
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y applying hash functions to its su
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Empirical Validation of Variability
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III. EXPERIMENTAL STUDY In this sec
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Table III SPEARMAN’S CORRELATION
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A Mapping Study on Software Product
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most relevant sources in software e
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TABLE IV TOOL’S CLASSIFICATION AC
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[2] P. Clements and L. Northrop, So
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and future works. II. BACKGROUND ON
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System Advanced Standard Module A M
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Algorithm 1: Backtracking for MIN-A
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outcomes from such research fields,
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TABLE IV. CONTINUED FROM PREVIOUS P
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contribution of each study was made
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assets, the plugin approach can be
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Figure 3: PlugSPL Feature Model Edi
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contributions from the several acto
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o Guideline 6.4: Softgoal dependenc
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descriptions must also b e configur
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It means that throughout the develo
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B. Instrumentation The experiment w
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• External Validity: W e have con
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II. THE PROPOSED TAXONOMY The taxon
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sub-dimension is categorized as, co
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A Proposal of Reference Architectur
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Figure. 1. Reference Architecture M
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A Variability Management Method for
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C. Correctness of configuration fil
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means patterns which are shown in s
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Tool Support for Anomaly Detection
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Figure 1. System overview of the SD
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Once the datasets were evaluated us
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Reconfiguration of Robot Applicatio
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data dependencies required for keep
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Spacemaker: Practical Formal Synthe
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Fig. 1. The ecommerce object model.
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Fig. 3. Mapping diagram for Figure
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A formal support for incremental be
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machine may be empty which should l
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software, based on revised requirem
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A Process-Based Approach to Improvi
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Appropriate processes m ust support
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Figure 2. Reordered layers of the k
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Automatic Acquisition of isA Relati
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III. VALIDATING THE DIMENSION HEADE
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The table title and the dimension s
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A light weight alternative for OLAP
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i.d. subsets of cubes focused on se
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Match production rules Enterprise S
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A Tool for Visualization of a Knowl
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other ontology visualization tools
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shown at Figure 5. Objectives are s
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Rendering UML Activity Diagrams as
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a = O1 → a → O2 b = O2 → b
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ecordProblem → A → reproducePro
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umlTUowl - A Both Generic and Vendo
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The tool’s ability to deal with S
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Elem. UML Example D 12 Harmonizing
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4) Associations: In the first test
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III. GRAPH REPRESENTATION OF CLASS
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as an add-in to popular UML m odeli
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742
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744
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746
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her necessities. However, the progr
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Figure 3. Global Log. of terms. The
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two stages. The first stage is focu
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754
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756
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758
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With the GDUC approach, we can mode
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Figure 6. Three proposals containin
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764
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766
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Proactive Two Way Mobile Advertisem
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information. If more than one adver
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Users can al so publish adv ertisem
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The COIN Platform: Supporting the M
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A-3
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Checking Contracts for AOP using XP
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Maicon B. da Silveira, 112 Aldo Dag
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Seyedehmehrnaz Mireslami, 70 Takao
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Wei Zhang, 422 Wenbo Zhang, 188 Zhi
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Desmond Greer Eric Gregoire Christi
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Poster/Demo Presenter’s Index A A
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SEKE 2012 Proceedings - Knowledge Systems Institute

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