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component are properly labeled with security levels. The component enforces the multilevel security policy internally so that security mechanisms are i ntended to provide secure access c ontrol. This technique is developed for a single security model, so it is restricted to access control. Other security features are not taken into account. Deng et. al. [3] proposed a methodology to m odel secure software architectures and verify whether required security constraints are assured by t he composition of components of the system. This approach introduces security constraint patterns, which specify the se curity policies that the security syste m must enforce. However, this approach is lacking focus on what type and fo rm of security policies should be used in a give n context and how to im plement them in a system d esign. The components are considered the central units for assembly and deployment. Interactions between components are captured in component interfaces. Using connectors as the central construct, a distributed software architecture in [4] is com posed of a set of components and a set of connect ors that can be used to connect the components. The Unified Modeling Language (UML) [10, 11] is used to describe the com ponent interconnection patterns for synchronous, asynchronous and brokered communications. Though different kinds of connectors are proposed in [4], t here are no considerations for en forcing security in to these connectors. The message communication via the connectors between components is not secure. In [5], a connector centric approach is used to model, capture, and enforce security. The security characteristics of a software architecture are described and enforce d using software connectors. An e xtensible architecture security contract specified by components is regulated and enforced by connectors. Connectors can decide what principals can e xecute the connected components. But, this approach models only access control as a security concern. The security properties like confidentially, nonrepudiation and integrity are not taken into account. Aspect-oriented design (AOD) techniques in [6] are used to encapsulate security concerns in complex systems. Different security concerns are modeled as aspects that can be woven into models of essential functionality. The mechanisms required to protect against attacks are used to identify the needing aspects and the strategy for weaving them into a design. There ar e many benefits of t reating security concerns as aspects during design m odeling, but this approach requires s oftware engineers to know knowledge of aspect-oriented design. In earlier work by the aut hors [7], an approach is described to model complex applications by m odeling application requirements and designs separately from security requirements and designs using the UML notation. Security requirements are captured in security use cases and encapsulated in security objects. When a system requires security serv ices, security use cases are extended from the non-secure business use case at extension points. However, [7] paid relatively less attention to secure application architecture where security requirements can be m apped to a sec ure software architecture. In later work by the aut hors [8], an approach is described for modeling the evolution of a non-secure application to a secure application in term s of a requirements model and a software architecture. In the software architecture, security services a re encapsulated in connectors separately from components. The sec urity services are activated if the security requirement conditions are satisfied. However, this approach does not offer various secure connectors that are used for different communication patterns and security services. 3. Secure Connectors The software architecture [14, 15] for concurrent a nd distributed applications can be designed by m eans of components and connectors. The components address the functionality of an application, whereas connectors deal with communication between components. Each component defines application business logic that is relatively independent of th ose provided by other components. A component may request ser vices from other components, or provide services to them through connectors. A connector acts on behalf of components in terms of com munication between components, encapsulating the det ails of i nter-component communication. Separately from application com ponents, security services can be encapsulated in connec tors between components in the software architecture for concurrent and distributed applications [8]. The original role of connectors in the software architecture is t o provide the mechanism for m essage communication between components [14, 15]. However, in this paper, the role of connectors is extended to security by adding security services to the connectors, which are referred to as secure connectors. Secure connectors are designed by considering both the security serv ices required by components and the type of message communication required between the components. The security services provided for components are confidentiality, integrity, non-repudiation, access control, and authentication, as follows: Confidentiality security service, which prevents secret information from being disclosed to any unauthorized party, can be achieved by secu re connectors encapsulating cryptosystems. Integrity security service, which protect s against unauthorized changes to sec ret information, can be performed by secure connectors using message digest (MD) or message authentication code (MAC) [13]. 395
Non-repudiation security service protects against one party to a transaction later falsely denying that the transaction occurred. Non-repudiation security services can be realized using digital signatures [13]. Access control security service protects a gainst unauthorized access to valuable resources. Access control may be implemented using mandatory access control (MAC) or role-based access control [12, 16]. Authentication security service allows an entity (a user or system) to identify itself positively t o another entity. This can be achieved using a password, personal-identification number or challenge response. Typical message communication patterns between components are asynchronous (loosely coupled) m essage communication and synchronous (tightly couple d) message communication [9], although there are other types of c ommunications between components. An asynchronous message is sent from a sender component to a receiver component and is stored i n a queue if the receiver is busy. The sender component can continue to send the next message to the receiver component as long as the que ue is not full. In sy nchronous message communication, a sender component sends a message to a receiver component and waits for a response from the receiver. When a response arrives from the receiver, the sender can continue to work and send the next message to the receiver. A distributed secure synch ronous connection is provided by means of a pair of c onnectors, namely a secure synchronous sender connector a nd a sec ure synchronous receiver connector. The secure synchronous sender and receiv er connectors act as stub s sending and receiving messages for the ir respective components. When the s ecure sender connector receives a message from the sender component, it ap plies the security services to the message if required by the component. The secured message is packed by the secure sender connector, which sends it to the secure synchronous receiver connector. When the receiver connector receives a secured and packed message, it c hecks the security of message and unpacks the message before sending it to the receiver component. Conversely, a response is sent from the receiver c omponent to the sender component via secure connectors. If the response requires security services, the secure connectors apply the appropriate security services. Fig. 1 depicts secure synchronous sender and receiver connectors for browsing a c atalog that re quires catalog access control and cust omer identity confidentiality security services between the Customer and Catalog application components in the business to business (B2B) electronic system. A custom er browses through va rious WWW catalogs and views various catalog items from a given supplier's catalog. The customer may need permission to access a specific catalog, and the customer identity for access control may also nee d to be confidential. These security requirements are handled by two secure synchronous connectors, the secure synchronous Customer Interface connector for Customer Interface application com ponent and the secure synchronous Catalog Server connector for Catalog Server component. The security services for c atalog access control and custom er identity confidentiality are encapsulated in the secure synchronous Custom er Interface and Catalog Server connectors, separately from Customer Interface and Catalog Server components. aSynchronousCustomer InterfaceConnector :Customer Stub A1.1: Request Catalog Index A2.2: Encrypted Customer Identity & Catalog Selection :Encryption Agent A2.1 [Customer Identity requires confidentiality]: Encrypt (in Customer Identity, out Encrypted Customer Identity) A1.5: Catalog Index A2.8: Catalog A1.4: Catalog Index A2.7: Catalog :Network A1.2: Request Catalog Index A2.3: Encrypted Customer Identity & Catalog Selection A1: Request (out Catalog Index) A2: Catalog Selection (in Customer Identity, out Catalog) aCustomerInterface aSynchronousCatalog ServerConnector :DecryptionAgent :AccessControlAgent A2.4 [Customer Identity requires confidentiality]: Decrypt (in Encrypted Customer Identity, out Customer Identity) A2.5 [Catalog requires access control]: Authorize (in Customer Identity, in Catalog Selection, out Permission) :Catalog ServerStub A1.3: Request Catalog Index (out Catalog Index) A2.6 [Authorized]: Request (out Catalog) :aCatalogServer Fig. 1 Secure Synchronous Connector for Confidentiality and Access Control security services 396
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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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Page 411 and 412: II. RESOURCE-ORIENTED WORKFLOW MODE
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Page 429 and 430: How Social Network APIs Have Ended
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Page 437 and 438: In 2009, Cohen et al. in [4] have o
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Page 451 and 452: Feature modeling and Verification b
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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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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
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
Page 749 and 750:
other ontology visualization tools
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shown at Figure 5. Objectives are s
Page 753 and 754:
Rendering UML Activity Diagrams as
Page 755 and 756:
a = O1 → a → O2 b = O2 → b
Page 757 and 758:
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
Page 763 and 764:
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
Page 781 and 782:
two stages. The first stage is focu
Page 783 and 784:
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
Page 793 and 794:
764
Page 795 and 796:
766
Page 797 and 798:
Proactive Two Way Mobile Advertisem
Page 799 and 800:
information. If more than one adver
Page 801 and 802:
Users can al so publish adv ertisem
Page 803 and 804:
The COIN Platform: Supporting the M
Page 805 and 806:
A-3
Page 807 and 808:
Checking Contracts for AOP using XP
Page 809 and 810:
Maicon B. da Silveira, 112 Aldo Dag
Page 811 and 812:
Seyedehmehrnaz Mireslami, 70 Takao
Page 813 and 814:
Wei Zhang, 422 Wenbo Zhang, 188 Zhi
Page 815 and 816:
Desmond Greer Eric Gregoire Christi
Page 817 and 818:
Poster/Demo Presenter’s Index A A
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SEKE 2012 Proceedings - Knowledge Systems Institute

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