SEKE 2012 Proceedings - Knowledge Systems Institute

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According to Borde [10], Gomaa & Hussein [11], the CR is used for the software components adaptation in two ways: (1)structural, involving the component structures such as change interface or operation name, and (2)behavior, which affects the functional and non-functional properties [12]. This technique is centered on the packaging due to original interface incompatibilities. The existing features are preserved and others, relating to new requirements are added forming a new software component. In Tanter et. al. [13], the Aspect-Oriented Programming (AOP) is used in structural and behavioral systems. Aspects are used to weave non-functional requirements to system objects. The weaving requirements (functional and nonfunctional) are performed by the tool named Reflex. The component reconfiguration in distributed environments is approached by Chen [14]. His proposal is an RMI (Remote Method Invocation) extension, XRMI - eXtended Java RMI, which allows an application to monitor and manipulate invocations between components during a dynamic reconfiguration process. The remote objects are used as if they were local objects. For Williams & Carver [15], the changes that occur with the software are inevitable. The main reasons are the users’ changing needs and issues related to technological adaptation. At work, the author point out a study on the software architecture flexibility to meet the required changes without burdening the maintenance activity. According to Navasa [16], software architecture should be easy modification or reconfiguration. The authors proposed the AspectLEDA - a language for description of software architecture by using aspects. Aspects act as a facilitating mechanism for software adaptation (manual or runtime). The software interests are divided in functional and non-functional, which can be identified, grouped and reused in various system units. The RefASSET (Reference Architecture for Software Engineering Tools) is a proposal for a Software Engineering Environment. This environment has a tool set that operate in the following phases of software life cycle: documentation, configuration management, quality assurance, verification, validation, joint review, and audit. Basically, the proposed development is centered on a software model with the addition of non-functional requirements with aspects [7]. According to Santos [17], frameworks for domainspecific languages (DSL - Domain Specific Language) assist the product line software development. The author comments on increasing the productivity of software by using DSLs; however, it is necessary that software engineers make the architectural design and act in the construction of metamodels and code generators. On the architectural design, they mention the use of aspect-oriented programming as mechanism connector components. Finally, the study conducted by Kazman [18], a contribution to the evaluation and design of software architecture called APTIA (Analytic Principles and Tools for the Improvement of Architectures) can be found. This paper offers a guideline set for an automated process, which helps the software engineer to improve the software architecture. III. A PROPOSAL OF REFERENCE ARCHITECTURE This section presents a reference architecture model for the reconfigurable software development such as automated processes [5]. This model represents a real solution (abstraction), based on a particular domain (reconfigurable systems) and experience (patterns) [5], [8] to treat the runtime software reconfiguration without the developers’ participation. The solution adopted for this model is directed to systems developed in programming language that have the following features: reflection, dynamic compilation and dynamic loading of artifacts. The reflection is associated with artifacts architectural flexibility, since the information on its structure and its execution state can be retrieved and reused when the artifact is modified [2], [4]. The dynamic compilation and dynamic loading of the artifacts are related to how these artifacts can be obtained, compiled and reinserted in the execution environment [2], [4], [5]. Figure 1 shows the reference architecture model, emphasizing the modules for artifacts runtime modifications. The model presented in Figure 1 is organized in seven modules: annotations (annotationManager), state management (stateManager), reflection (reflectManager), source code generator (sourceCode- Manager), query and rules (queryManager, configuration (configurationManager) and reconfiguration (reconfiguratorURLManager). The following are descriptions and relations between modules to perform reconfiguration automatically. The annotations module (annotationManager) aims to assist the software engineer in the definition of artifacts reconfiguration level which are being developed. For the reflection module, represented by the reflectManager package, to identify what information can be modified (removed and/or inserted), a metadata (annotation) indicating the reconfiguration level supported by the artifact must be present. Furthermore, there is an interest, the reflection module, to identify if the artifact type represents a logical class, which only has functionalities; or, a persistence class, which has logical storage in database. It is recommended that this module has a functionality to verify if the annotations were inserted correctly, otherwise the reflection module cannot identify what information can be reconfigured. The state management module (stateManger) aims to preserve the artifacts execution state. When a software artifact is selected for manual or automatic reconfiguration, 669
Figure. 1. Reference Architecture Model the information contained in its current state should be preserved. The artifact is modified and the information is reinserted so that the execution is not interrupted. Basically, this module should have two functionalities to convert an artifact into a file (.xml) and vice versa. The choice of XML, eXtensible Markup Language, to perform these operations is related to the following facilities: files handling (reading and writing), integration with different programming languages and implementation facility. The reflection module (reflectManager) aims to perform the artifacts "disassembly" to obtain structural information (attributes) and behavior (methods). Basically, the artifacts disassembly is conducted by using the reflectManager.reflection package, which uses the annotations module to identify changes that can be performed on the artifacts. This information is retrieved and inserted into a metamodel in the reflectManager.model package. After instantiating the metamodel, new information according to the clients’ interests are added to create a new metamodel. This metamodel is transferred to the source code generator module to create the new artifact. The source code generator module (sourceCodeManager) aims to generate the software artifacts based on metamodel (instantiated in reflection module). To execute this operation, the software engineer must provide an artifact template based on the architectural pattern (logical layer, persistence layer, and others). This module should has four functionalities to generate the source code that meets the reconfiguration interests: (1)when only the artifact source code, without modification, must be generated, (2)when only an attributes list should be added or removed from the artifact. In this case, specifically, the getters and setters methods that manipulate these attributes are modified, (3)when only a methods list should be added or removed from the artifact, and (4)when an attributes list and a methods list should be added or removed from the artifact. The query and rules module (queryManager) aims to be consulted by software artifacts in REE repositories. When an artifact is developed and inserted into the REE, an automatic mechanism (rulesFactory) is responsible for disassembling this artifact and creating rules set that describes the artifact functionalities. These rules are stored in REE repositories and reused when a search (rulesEngine) is performed. The rules model (rulesFactory package) should be compatible with the artifact metamodel in the package reflectManager.model. The configuration module (configurationManager) aims to control the size of software artifacts when the reconfiguration is performed. The artifacts are developed to 670
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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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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
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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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Page 651 and 652: Empirical Validation of Variability
Page 653 and 654: III. EXPERIMENTAL STUDY In this sec
Page 655 and 656: Table III SPEARMAN’S CORRELATION
Page 657 and 658: A Mapping Study on Software Product
Page 659 and 660: most relevant sources in software e
Page 661 and 662: TABLE IV TOOL’S CLASSIFICATION AC
Page 663 and 664: [2] P. Clements and L. Northrop, So
Page 665 and 666: and future works. II. BACKGROUND ON
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Page 669 and 670: Algorithm 1: Backtracking for MIN-A
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Page 673 and 674: TABLE IV. CONTINUED FROM PREVIOUS P
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Page 683 and 684: o Guideline 6.4: Softgoal dependenc
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Page 689 and 690: B. Instrumentation The experiment w
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Page 693 and 694: II. THE PROPOSED TAXONOMY The taxon
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Page 703 and 704: C. Correctness of configuration fil
Page 705 and 706: means patterns which are shown in s
Page 707 and 708: Tool Support for Anomaly Detection
Page 709 and 710: Figure 1. System overview of the SD
Page 711 and 712: Once the datasets were evaluated us
Page 713 and 714: Reconfiguration of Robot Applicatio
Page 715 and 716: data dependencies required for keep
Page 717 and 718: Spacemaker: Practical Formal Synthe
Page 719 and 720: Fig. 1. The ecommerce object model.
Page 721 and 722: Fig. 3. Mapping diagram for Figure
Page 723 and 724: A formal support for incremental be
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Page 729 and 730: A Process-Based Approach to Improvi
Page 731 and 732: Appropriate processes m ust support
Page 733 and 734: Figure 2. Reordered layers of the k
Page 735 and 736: Automatic Acquisition of isA Relati
Page 737 and 738: III. VALIDATING THE DIMENSION HEADE
Page 739 and 740: The table title and the dimension s
Page 741 and 742: A light weight alternative for OLAP
Page 743 and 744: i.d. subsets of cubes focused on se
Page 745 and 746: Match production rules Enterprise S
Page 747 and 748: 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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