SEKE 2012 Proceedings - Knowledge Systems Institute

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Reuse of Experiences Applied to Requirements Engineering: an Approach Based on Natural Language Processing (S) Adriano Albuquerque, Vládia Pinheiro and Thiago Leite ......................................................... 574 Specification of Safety Critical <strong>Systems</strong> with Intelligent Software Agent Method (S) Vinitha Hannah Subburaj, Joseph E. Urban and Manan R. Shah ........................................... 578 Human-Computer Interaction Using the Results from a Systematic Mapping Extension to Define a Usability Inspection Method for Web Applications Luis Rivero and Tayana Conte .................................................................................................... 582 Improving a Web Usability Inspection Technique through an Observational Study Priscila Fernandes, Tayana Conte and Bruno Bonifácio .......................................................... 588 Identification Guidelines for the Design of Interfaces in the Context of ECAs and ADHD (S) Sandra Rodrigues Sarro Boarati and Cecília Sosa Arias Peixoto ............................................. 594 Measuring the Effect Of Usability Mechanisms On User Efficiency, Effectiveness and Satisfaction (S) Marianella Aveledo M., Diego M. Curtino, Agustín De la Rosa H. and Ana M. Moreno S ..... 599 Automatic Generation of Web Interfaces from User Interaction Diagrams (S) Filipe Bianchi Damiani and Patrícia Vilain ............................................................................... 605 Semantic Web Semantic Technology Recommendation Based on the Analytic Network Process Filip Radulovic and Raúl García-Castro .................................................................................... 611 P2P-Based Publication and Location of Web Ontology for <strong>Knowledge</strong> Sharing in Virtual Communities (S) Huayou Si, Zhong Chen and Yong Deng .................................................................................... 617 Software Product Lines Empirical Validation of Variability-based Complexity Metrics for Software Product Line Architecture Edson A. Oliveira Junior, Itana M. S. Gimenes and José C. Maldonado ................................. 622 xxi
A Mapping Study on Software Product Lines Testing Tools Crescencio Rodrigues Lima Neto, Paulo Anselmo Mota Silveira Neto, Eduardo Santana de Almeida and Silvio Romero de Lemos Meira ........................................... 628 Optimal Variability Selection in Product Line Engineering Rafael Pinto Medeiros, Uéverton dos Santos Souza , Fábio Protti and Leonardo Gresta Paulino Murta .......................................................................................... 635 Synthesizing Evidence on Risk Management: a Narrative Synthesis of Two Mapping Studies (S) Luanna Lopes Lobato, Ivan do Carmo Machado, Paulo Anselmo da Mota Silveira Neto, Eduardo Santana de Almeida and Silvio Romero de Lemos Meira ........................................... 641 PlugSPL: an Automated Environment for Supporting Plugin-Based Software Product Lines (S) Elder M. Rodrigues, Avelino F. Zorzo, Edson A. Oliveira Junior, Itana M. S. Gimenes, José C. Maldonado and Anderson R. P. Domingues .................................................................. 647 GS2SPL: Goals and Scenarios to Software Product Lines Gabriela Guedes, Carla Silva, Jaelson Castro, Monique Soares, Diego Dermeval and Cleice Souza .......................................................................................................................... 651 A Set of Inspection Techniques on Software Product Line Models Rafael Cunha, Tayana Conte, Eduardo Santana de Almeida and José Carlos Maldonado..... 657 Non-Functional Properties in Software Product Lines: a Taxonomy for Classification (S) Mahdi Noorian, Ebrahim Bagheri and Weichang Du ............................................................... 663 A Proposal of Reference Architecture for the Reconfigurable Software Development (S) Frank José Affonso and Evandro Luis Linhari Rodrigues........................................................ 668 Dependability and Maintenance A Variability Management Method for Software Configuration Files Hiroaki Tanizaki, Toshiaki Aoki and Takuya Katayama ............................................................ 672 Tool Support for Anomaly Detection in Scientific Sensor Data (S) Irbis Gallegos and Ann Gates ...................................................................................................... 678 Reconfiguration of Robot Applications Using Data Dependency and Impact Analysis (S) Michael E. Shin, Taeghyun Kang, Sunghoon Kim, Seungwook Jung and Myungchan Roh ................................................................................................................... 684 xxii
Page 1 and 2: SEKE San Francisco Bay July 1-3 201
Page 3 and 4: Copyright © 2012 by Knowledge Syst
Page 5 and 6: The 24 th International Conference
Page 7 and 8: Zhenyu Chen, Nanjing University, Ch
Page 9 and 10: Riccardo Martoglia, University of M
Page 11 and 12: Poster/Demo Sessions Co-Chairs Fars
Page 13 and 14: Evaluating the Cost-Effectiveness o
Page 15 and 16: Program Understanding Evaluating Op
Page 17 and 18: An Empirical Study of Execution-Dat
Page 19 and 20: Computer Forensics: Toward the Cons
Page 21: Modeling Bridging KDM and ASTM for
Page 25 and 26: A proposal for the improvement of t
Page 27 and 28: Panel on Future Trends of Software
Page 29 and 30: een available for analysis. Social
Page 31 and 32: The rest of this paper is orga nize
Page 33 and 34: Now we assume is given, we first pr
Page 35 and 36: “iphone” and “blackberry” a
Page 37 and 38: nique estimate the impact set based
Page 39 and 40: Figure 1. An example to illustrate
Page 41 and 42: trategy, the results should support
Page 43 and 44: Figure 1. System Architecture would
Page 45 and 46: Figure 2. Sequence Diagram of Train
Page 47 and 48: deployed on Android phone and runs
Page 49 and 50: the ontology information is only us
Page 51 and 52: Both kinds of axioms lead to an inh
Page 53 and 54: engineer and achieving requirements
Page 55 and 56: elicitation and the act ivities con
Page 57 and 58: Step 2. Step 3. 1.2. Use of Procedu
Page 59 and 60: Figure 6.b. Task: Cognitive Analysi
Page 61 and 62: original User’s Discourse / Speec
Page 63 and 64: II. RELATED WORK Business processes
Page 65 and 66: test, we did not find any significa
Page 67 and 68: For the indicator “requirements a
Page 69 and 70: the model checkers SPIN [8] and NuS
Page 71 and 72: 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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378
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380
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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
Page 491 and 492:
classified. Recall is the probabili
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Testing Interoperability Security P
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Figure 2. Overview of the Test Gene
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Objective Figure 4. Testing
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A New Approach to Evaluate Path Fea
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k v ( df i ) 0 , it means that the
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Model & Method Feasibility Evaluati
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Structural Testing for Multithreade
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adequate to another criterion. This
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480
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482
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484
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A Tiny Specification Metalanguage W
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C. Syntax Extensions The expressive
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however, does not allow variables f
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derivation dependencies. The third
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model extension as proposed in [6].
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Figure 1. The process for engineeri
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Figure 4. The abstractions extracte
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way to detect something which could
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Algorithm 1: Algorithm to recursive
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obtain the input of experts on desi
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A. Pattern Reuse In patterns reuse
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IV. SCATTER In order to enhance pat
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These latter would be clustered acc
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described or even r etrieved, thus
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DC2AP Element and their Application
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21. Consequences Example of use DC2
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Legacy2Cloud logic. In this scope,
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2.3.1 Complementarity of MDD techno
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3.2.2 EAggregateRelationship The EA
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cess. The proposal follows the ADM
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II. OVERVIEW OF MODAL TRANSITION SY
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(1) V □ (A) ⊆ V □ (B), V ♦
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Suppose P = 〈S P , SP i , AI P ,
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Adaptive software should basically
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A. Step S1 - Define the Business Pr
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F. Step S6 - Monitor at Run-Time Th
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Figure 1, a metamodel defines an XM
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Figure 3 is a feature diagram that
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ecause the system of C-net model is
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Pub-T Tc Tc Sub-T Sub-T Figu
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Visual Studio Achievements, a Visua
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the project. This achievement has t
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proposed in this work requires the
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FTS is an important research area,
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C. Dependent Variables and Measures
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D. Conclusion Validity Conclusion v
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evaluation of team productivity, qu
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Figure 3: Process Fragment Example
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complexity issues traditionally inv
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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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