We propose a self-adaptive process (SAP) that maintains the software architecture quality using the MAPE-K standard model. The proposed process can be plugged into various software development processes and service-oriented methodologies due to its explicitly defined inputs and outputs. To this aim, the proposed SAP is integrated with the service-oriented modeling and application (SOMA) methodology in a two-layered structure to create a novel methodology, named self-adaptive service-oriented architecture methodology (SASOAM), which provides a semi-automatic self-aware method by the composition of architectural tactics. Moreover, the maintenance activity of SOMA is improved using architectural and adaptive patterns, which results in controlling the software architecture quality. The improvement in the maintainability of SOMA is demonstrated by an analytic hierarchy process (AHP) based evaluation method. Furthermore, the proposed method is applied to a case study to represent the feasibility and practicality of SASOAM.
Andersson, J., Baresi, L., Bencomo, N., , 2013. Software engineering processes for self-adaptive systems. Software Engineering for Self-Adaptive Systems II, p.51-75
2
André, F., Daubert, E., Gauvrit, G., 2010. Towards a generic context-aware framework for self-adaptation of serviceoriented architectures. 5th Int. Conf. on Internet and Web Applications and Services, p.309-314
3
Ardagna, D., Pernici, B., 2007. Adaptive service composition in flexible processes. IEEE Trans. Softw. Eng., 33(6): 369-384
4
Arevalo, G., Buchli, F., Nierstrasz, O., 2004. Detecting implicit collaboration patterns. 11th Working Conf. on Reverse Engineering, p.122-131
5
Arsanjani, A., Ghosh, S., Allam, A., , 2008. SOMA: a method for developing service-oriented solutions. IBM Syst. J., 47(3): 377-396.]
6
Babar, M.A., 2004. Scenarios, quality attributes, and patterns: capturing and using their synergistic relationships for product line architectures. 11th Asia-Pacific Software Engineering Conf., p.574-578
7
Bachmann, F., Bass, L., Klein, M., 2002. Illuminating the Fundamental Contributors to Software Architecture Quality. Technical Report No. CNU/SEI-2002-TR-025, Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA.
8
Bachmann, F., Bass, L., Kelin, M., 2003. Deriving Architectural Tactics: a Step Toward Methodical Architectural Design. Technical Report No. CMU/SEI-2003-TR-004, Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA.
Bass, L., John, B.E., 2003. Linking usability to software architecture patterns through general scenarios. J. Syst. Softw., 66(3): 187-197
11
Bass, L., Clements, P., Kazman, R., 1998. Software Architecture in Practice. Addison-Wesley, Boston, USA, p.1-307.
12
Bhakti, M.A.C., Abdullah, A.B., Jung, L.T., 2010. Autonomic, self-organizing service-oriented architecture in service ecosystem. 4th IEEE Int. Conf. on Digital Ecosystems and Technologies, p.153-158
13
Boehm, B.W., Brown, J.R., Lipow, M., 1976. Quantitative evaluation of software quality. 2nd Int. Conf. on Software Engineering, p.592-605.
14
Cardellini, V., Casalicchio, E., Grassi, V., , 2009. QoSdriven runtime adaptation of service oriented architectures. Proc. 7th Joint Meeting of the European Software Engineering Conf. and the ACM SIGSOFT Symp. on the Foundations of Software Engineering, p.131-140
15
Cardellini, V., Casalicchio, E., Grassi, V., , 2012. MOSES: a framework for QoS driven runtime adaptation of service-oriented systems. IEEE Trans. Softw. Eng., 38(5):1138-1159
16
Castro, E., 2000. XML for the World Wide Web: Visual QuickStart Guide. Peachpit Press, USA, p.21-54.
de Lemos, R., Giese, H., Müller, H.A., , 2013. Software engineering for self-adaptive systems: a second research roadmap. Software Engineering for Self-Adaptive Systems II, p.1-32
19
di Nitto, E., Ghezzi, C., Metzger, A., , 2008. A journey to highly dynamic, self-adaptive service-based applications. Autom. Softw. Eng., 15(3-4): 313-341
20
Dromey, R.G., 1995. A model for software product quality. IEEE Trans. Softw. Eng., 21(2): 146-162
21
Fielding, R.T., 2000. Architecture Styles and the Design of Network-Based Software Architectures. PhD Thesis, University of California, Irvine, USA.
22
Fitzpatrick, R., 1996. Software Quality: Definitions and Strategic Issues. Technical Report No. 1, Staffordshire University, Staffordshire, UK.
23
Fuhr, A., Horn, T., Riediger, V., , 2013. Model-driven software migration into service-oriented architectures. Comput. Sci.-Res. Devel., 28(1): 65-84
24
Gacek, C., Giese, H., Hadar, E., 2008. Friends or foes?—a conceptual analysis of self-adaptation and IT change management. Proc. Int. Workshop on Software Engineering for Adaptive and Self-Managing Systems, p. 121-128
Gomaa, H., 2011. Pattern-based software design and adaptation. 3rd Int. Conf. on Pervasive Patterns and Applications, p.90-95.
27
Gomaa, H., Hussein, M., 2004. Software reconfiguration patterns for dynamic evolution of software architectures. Proc. 4th Working IEEE/IFIP Conf. on Software Architecture, p. 79-88
28
Gomaa, H., Hashimoto, K., Kim, M., , 2010. Software adaptation patterns for service-oriented architectures. Proc. ACM Symp. on Applied Computing, p. 462-469
29
Gu, T., Pung, H.K., Zhang, D.Q., 2005. A service-oriented middleware for building context-aware services. J. Network Comput. Appl., 28(1): 1-18
30
Haase, P., Lewen, H., Studer, R., , 2008. The NeOn ontology engineering toolkit. WWW.
31
Harrison, N.B., Avgeriou, P., 2010a. How do architecture patterns and tactics interact a model and annotation. J. Syst. Softw., 83(10): 1735-1758
32
Harrison, N.B., Avgeriou, P., 2010b. Implementing reliability: the interaction of requirements, tactics and architecture patterns. Architecting Dependable Systems VII, 6420: 97-122
33
Hull, R., Hill, M., Berardi, D., 2005. Semantic Web Services Usage Scenario: e-Service Composition in a Behavior Based Framework. Semantic Web Services Initiative Language.
Kazman, R., Carrière, S.J., Woods, S.G., 2000. Toward a discipline of scenario-based architectural engineering. Ann. Softw. Eng., 9(1-2): 5-33
36
Kephart, J.O., Chess, D.M., 2003. The vision of autonomic computing. Computer, 36(1): 41-50
37
Kim, D.K., Whittle, J., 2005. Generating UML models from domain patterns. 3rd ACIS Int. Conf. on Software Engineering Research, Management and Applications, p.166-173
38
Kim, S., Kim, D., Lu, L., , 2009. Quality-driven architecture development using architectural tactics. J. Syst. Softw., 82(8): 1211-1231
39
Kozaki, K., Kitamura, Y., Ikeda, M., , 2002. Hozo: an environment for building/using ontologies based on a fundamental consideration of “role” and “relationship”. LNCS, 2473: 213-218
Kruchten, P.B., 1995. The 4+1 view model of architecture. IEEE Softw., 12(6): 42-50
42
Lane, S., Bucchiarone, A., Richardson, I., 2012. SOAdapt: a process reference model for developing adaptable service-based applications. Inform. Softw. Technol., 54(3): 299-316
43
Malek, S., Esfahani, N., Menasce, D.A., , 2009. Self-Architecting Software SYstems (SASSY) from QoSannotated activity models. ICSE Workshop on Principles of Engineering Service Oriented Systems, p.62-69
44
Matinlassi, M., 2005. Quality-driven software architecture model transformation. Proc. 5th Working IEEE/IFIP Conf. on Software Architecture, p.199-200
45
McGuinness, D.L., van Harmelen, F., 2004. OWL Web Ontology Language Overview. W3C Recommendation.
46
Menasce, D., Gomaa, H., Malek, S., , 2011. SASSY: a framework for self-architecting service-oriented systems. IEEE Softw., 28(6): 78-85
47
Moaven, S., Ahmadi, H., Habibi, J., , 2008a. A decision support system for software architecture-style selection. 6th Int. Conf. on Software Engineering Research, Management and Applications, p.213-220
48
Moaven, S., Habibi, J., Ahmadi, H., , 2008b. A fuzzy model for solving architecture styles selection multicriteria problem. 2nd UKSIM European Symp. on Computer Modeling and Simulation, p.388-393
49
Moaven, S., Kamandi, A., Habibi, J., , 2009. Toward a framework for evaluating heterogeneous architecture styles. 1st Asian Conf. on Intelligent Information and Database Systems, p.155-160
50
Noy, N.F., Crubézy, M., Fergerson, R.W., , 2003. Protege-2000: an open-source ontology-development and knowledge-acquisition environment. Annual Symp. of the American Medical Informatics Association, p.953.
51
Papazoglou, M.P., Heuvel, W.V.D., 2007. Service oriented architectures: approaches, technologies and research issues. VLDB J., 16(3): 389-415
52
Ramsin, R., Paige, R.F., 2008. Process-centered review of object oriented software development methodologies. ACM Comput. Surv., 40(1): 3.1-3.89
53
Rawashdeh, A., Matalkah, B., 2006. A new software quality model for evaluating COTS components. J. Comput. Sci., 2(4): 373-381
54
Romay, M.D.P., Fernández-Sanz, L., Rodríguez, D., 2011. A systematic review of self-adaptation in service-oriented architectures. 6th Int. Conf. on Software Engineering Advances, p.331-337.
55
Rosen, M., Lublinsky, B., Smith, K.T., , 2008. Applied SOA: Service-Oriented Architecture and Design Strategies. Wiley Publishing, Indianapolis, p.260-350.
56
Saaty, T.L., 1980. The Analytic Hierarchy Process. McGraw Hill, New York.
57
Scott, J., Kazman, R., 2009. Realizing and Refining Architectural Tactics: Availability. Technical Report No. CMU/SEI-2009-TR-006, Software Engineering Institute.
58
Siljee, J., Bosloper, I., Nijhuis, J., , 2005. DySOA: making service systems self-adaptive. LNCS, 3826: 255-268
59
Strang, T., Linnhoff-Popien, C., 2004. A context modeling survey. 1st Int. Workshop on Advanced Context Modeling, Reasoning and Management.
60
Wang, S., Sun, Q., Yang, F., 2010. Towards web service selection based on QoS estimation. Int. J. Web Grid Serv., 6(4): 424-443
61
Weyns, D., Schmerl, B., Grassi, V., , 2013. On patterns for decentralized control in self-adaptive systems. Software Engineering for Self-Adaptive Systems II, p.76-107
62
Windisch, A., Schlatt, H., 2005. AADL-modelling of plug & play weapon system architecture. Systems Engineering AADL Workshop, p.121-132.
63
Yang, S.J.H., Zhang, J., Chen, I.Y.L., 2008. A JESS-enabled context elicitation system for providing context-aware Web services. Expert Syst. Appl., 34(4): 2254-2266
