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phase. On the other hand, in application engineering for the user requirements analysis phase, the optimal feature selection sub-dimension can be considered as a proposed quality-based task in the work by Roos-Frantz et al. In this case, the general model can be checked to find whether any software product can be identified with respect to the defined NFPs. In this work, the NPFs form both classes, quality attribute and constraints, e.g., accuracy, cost, latency, and memory consumption. For measurement purposes, this work only support quantitative measurement. Based on the application domain, latency is measured with milliseconds and memory consumption is measured with kilobytes. IV. CONCLUSIONS AND FUTURE WORK In this work, we have presented a taxonomy regarding the role of NFPs in SPL. This taxonomy focuses on the main aspects that need to be addressed for developing a qualityaware products and product lines in the SPL context. The proposed taxonomy consists of four main dimensions, main lifecycle, class, measurement, and scope of impacts. Wehave discussed each dimension and introduced the related subdimensions. In addition, in order to discuss our taxonomy, we briefly survey some prominent research work in the field and appropriately classify them into different categories according to the proposed taxonomy. Our direction for future research is to perform a comprehensive survey in the field and classify all current research work and report the status in the area of NFPs and SPL. The collected information from the classification process will assist us to identify the possible enhancements to fill the existing gaps between these two areas. Our initial probe has shown that our proposed taxonomy is quite strong in providing the means to capture various aspects of work in NFPs and SPLs. REFERENCES [1] Ieee standard glossary of software engineering terminology. IEEE Std 610.12-1990, page 1, 1990. [2] Ebrahim Bagheri and Dragan Gasevic. Assessing the maintainability of software product line feature models using structural metrics. In Software Quality Journal 19(3):579-612. Springer, 2011. [3] Lawrence Chung, Brian Nixon, Eric Yu, and John Mylopoulos. Non- Functional Requirements in Software Engineering. Kluwer Academic Publishers, New York, 2000. [4] Lawrence Chung and Julio Cesar Prado Leite. Conceptual modeling: Foundations and applications. chapter On Non-Functional Requirements in Software Engineering, pages 363–379. Springer-Verlag, Berlin, Heidelberg, 2009. [5] M. Galster and E. Bucherer. A for identifying and specifying nonfunctional requirements in service-oriented development. In Services - Part I, 2008. IEEE Congress on, pages 345 –352, july 2008. [6] M. Glinz. On non-functional requirements. In Requirements Engineering Conference, 2007. RE ’07. 15th IEEE International, pages 21 –26, oct. 2007. [7] S. Jarzabek, B. Yang, and S. Yoeun. Addressing quality attributes in domain analysis for product lines. IEEE Proceedings - Software, 153(2):61–73, 2006. [8] K. C. Kang, S. G. Cohen, J. A. Hess, W. E. Novak, and A. S. Peterson. Feature-oriented domain analysis (foda) feasibility study. Technical report, Carnegie-Mellon University Software Engineering Institute, November 1990. [9] Kyo C. Kang, Sajoong Kim, Jaejoon Lee, Kijoo Kim, Gerard Jounghyun Kim, and Euiseob Shin. Form: A feature-oriented reuse method with domain-specific reference architectures. Annals of Software Engineering, 5:143–168, 1998. [10] Gerald Kotonya and Ian Sommerville. Requirements Engineering - Processes and Techniques. John Wiley & Sons, 1998. [11] Frank J. van der Linden, Klaus Schmid, and Eelco Rommes. Software Product Lines in Action: The Best Industrial Practice in Product Line Engineering. Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2007. [12] James A. McCall. Quality Factors. John Wiley & Sons, Inc., 2002. [13] Bardia Mohabbati, Dragan Gasevic, Marek Hatala, Mohsen Asadi, Ebrahim Bagheri, and Marko Boskovic. A quality aggregation model for service-oriented software product lines based on variability and composition patterns. In The 9th International Conference on Service Oriented Computing (ICSOC 2011). Springer, 2011. [14] Bashar Nuseibeh and Steve Easterbrook. Requirements engineering: a roadmap. In Proceedings of the Conference on The Future of Software Engineering, ICSE ’00, pages 35–46, New York, NY, USA, 2000. ACM. [15] Klaus Pohl, Günter Böckle, and Frank J. van der Linden. Software Product Line Engineering: Foundations, Principles and Techniques. Springer-Verlag New York, Inc., Secaucus, NJ, USA, 2005. [16] Fabricia Roos-Frantz, David Benavides, Antonio Ruiz-Cortes, Andre Heuer, and Kim Lauenroth. Quality-aware analysis in product line engineering with the orthogonal variability model. Software Quality Journal, pages 1–47. 10.1007/s11219-011-9156-5. [17] Norbert Siegmund, Marko Rosenmuller, Martin Kuhlemann, Christian Kastner, Sven Apel, and Gunter Saake. Spl conqueror: Toward optimization of non-functional properties in software product lines. Software Quality Journal, pages 1–31. 10.1007/s11219-011-9152-9. [18] Ian Sommerville and Pete Sawyer. Requirements Engineering: A Good Practice Guide. John Wiley & Sons, Inc., New York, NY, USA, 1st edition, 1997. [19] P. Zave. Classification of research efforts in requirements engineering. In Requirements Engineering, 1995., Proceedings of the Second IEEE International Symposium on, pages 214 – 216, mar 1995. 667
A Proposal of Reference Architecture for the Reconfigurable Software Development Frank José Affonso Department of Statistics, Applied Mathematics and Computation Univ Estadual Paulista - UNESP Rio Claro - SP, Brazil affonso.frank@gmail.com / frank@rc.unesp.br Evandro Luis Linhari Rodrigues Department of Electrical Engineering University of São Paulo - USP São Carlos - SP, Brazil evandro@sc.usp.br Abstract—The software development process is marked by constant changes in customer needs or technological innovations which have emerged in recent years. Moreover, we can highlight the search for tools and automated processes to assist in development activities. In this context, this paper aims to propose a reference architecture model for developing reconfigurable software, which has a specific feature, allowing changes to be incorporated without the need of its execution interruption. This model allows one to create a standard for the software development of this nature, making requests for changes which will be implemented naturally. We believe, with this paper proposal, a concrete architecture for reconfigurable systems can be defined. I. INTRODUCTION The need for computational systems endowed with runtime reconfiguration characteristics is an old desire of software engineers to incorporate their customers’ emerging needs [1]. To meet this desire, there are computational reflections [2], [3], [4] as a mechanism for the implementation of software reconfiguration in runtime. This mechanism can be applied to several system approaches in development, such as oriented objects, components, aspects, services, remote method invocation and the combination of both [5]. Regarding to the reconfiguration systems context, we have observed that the related work corresponds to individual projects, without the adoption of tools and engineering processes. Concerning the two last items, some authors Whitehead [6], Nakagawa [7], report about the lack of tools to fully meet the project phases (software life cycle) and, when they meet them, there is a problem in relation to investment (high cost) for acquisition and maintenance. Given the mentioned context, reconfigurable software in runtime and engineering software tools to support all project phases, this paper proposes a reference architecture model for reconfigurable systems such as automated processes. This proposal is associated with use of a Reconfigurable Software Development Methodology (RSDM), a Reconfigurable Execution Environment (REE) and a software engineering tool, named ReflectTools, both developed in the authors’ previous work [5], [8]. The RSDM provides a guidelines set for developing reconfigurable software (classes, components, aspects, services) - named software artifacts. Basically, its guidelines lead to the development based on requirements segmentation, leaving the artifact free of any non-functional requirements. Furthermore, it adopts the architectural style based on layers to organize the application and requirements combination (functional and non-functional). This combination can be made by aspects or dependency injection [5], [9]. The REE and ReflectTools represent the automatic mechanisms to support the RSDM of guidelines. Despite the project specific features, was established the ability to integrate with the tools (workbenches) development, such as Eclipse and Netbeans. These tools are used in the initial steps of RSDM (modeling and system developing). After completing these steps, the projects are transferred to ReflectTools so that a software engineer or developer can use it directly in the REE to automate tasks [5]. The reference architecture model for reconfigurable systems helps in the processes automation in the REE and software engineer tools (for example, ReflectTools). This model not only helps to understand the domain structure but also the vocabulary applied to reconfigurable systems. Thus, we believe, with this paper proposal, a concrete architecture for the use in reconfigurable systems can be defined. II. CONCEPTS, DEFINITIONS AND RELATED WORK This section presents the concepts, definitions and related work that contributed to the development of this paper. Initially are presented concepts of Computational Reflection (CR) and their reconfiguration techniques. Following are presented related work on software architecture. The CR [2], [10] can be defined as any activity performed by a system on itself. The main objective is to obtain information about its own activities, aiming to improve its performance, introduce new capabilities (features or functionality), or even solve its problems by choosing the best procedure. 668
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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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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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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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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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Page 685 and 686: descriptions must also b e configur
Page 687 and 688: It means that throughout the develo
Page 689 and 690: B. Instrumentation The experiment w
Page 691 and 692: • External Validity: W e have con
Page 693 and 694: II. THE PROPOSED TAXONOMY The taxon
Page 695: sub-dimension is categorized as, co
Page 699 and 700: Figure. 1. Reference Architecture M
Page 701 and 702: A Variability Management Method for
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
Page 725 and 726: machine may be empty which should l
Page 727 and 728: software, based on revised requirem
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
Page 749 and 750:
other ontology visualization tools
Page 751 and 752:
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
Page 759 and 760:
umlTUowl - A Both Generic and Vendo
Page 761 and 762:
The tool’s ability to deal with S
Page 763 and 764:
Elem. UML Example D 12 Harmonizing
Page 765 and 766:
4) Associations: In the first test
Page 767 and 768:
III. GRAPH REPRESENTATION OF CLASS
Page 769 and 770:
as an add-in to popular UML m odeli
Page 771 and 772:
742
Page 773 and 774:
744
Page 775 and 776:
746
Page 777 and 778:
her necessities. However, the progr
Page 779 and 780:
Figure 3. Global Log. of terms. The
Page 781 and 782:
two stages. The first stage is focu
Page 783 and 784:
754
Page 785 and 786:
756
Page 787 and 788:
758
Page 789 and 790:
With the GDUC approach, we can mode
Page 791 and 792:
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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