Supporting Change Propagation in the Maintenance and Evolution of Service-Oriented Architectures

Dam, Hoa Khanh; Ghose, Aditya

doi:10.1109/apsec.2010.27

Cited by 13 publications

(7 citation statements)

References 19 publications

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“…Tools and techniques for analyzing such changes fall under top-down change analysis. Existing work in this area has multiple facets like business process-tosource code and service implementations [60,85], higher level models to lower level detailed models [9,11,44,49,64] and composite services to underlying artifacts [14]. Table 5 provides an overview of the change analysis and propagation solutions at the business level while considering their hierarchical coverage.…”

Section: Top-down Impact Analysis and Propagationmentioning

confidence: 99%

“…Change propagation is viewed as a critical issue in the evolution of service-based systems. Propagation solutions mainly suggest what additional change implementations are needed as a result of a primary change [11]. Consistency preservation across different levels of Business Process Management (BPM) and Service-oriented Architecture (SOA) can be regarded as the prime objective of change propagation.…”

Section: Change Propagation In Service-based Systemsmentioning

confidence: 99%

“…However these specifications suffer from lack of analytical capabilities [73]. To bridge this gap, various tools for formal specification of business processes and services have been utilized including petri nets [19,41,66], regular tree grammar [49], metagraphs [2], ontological specifications and semantic annotations [8,12,29,31,33,36,41], Kleen algebra [18], first order logic [73,91], PI Calculus [58], finite state machine [62], alloy [11], prolog [10,48] and process algebra [83].…”

Section: Dependency-based Impact Analysismentioning

confidence: 99%

See 2 more Smart Citations

Impact analysis and change propagation in service-oriented enterprises: A systematic review

Alam

Ahmad

Akhunzada

et al. 2015

Information Systems

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Section: Top-down Impact Analysis and Propagationmentioning

confidence: 99%

Section: Change Propagation In Service-based Systemsmentioning

confidence: 99%

Section: Dependency-based Impact Analysismentioning

confidence: 99%

See 1 more Smart Citation

Impact analysis and change propagation in service-oriented enterprises: A systematic review

Alam

Ahmad

Akhunzada

et al. 2015

Information Systems

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“…any of the resolutions can actually fix a corresponding inconsistency). Dam and Ghose (2010) address these issues by proposing an automated mechanism to generate change propagation plans. Some recent work (Kurniawan et al, 2012) has also addressed change propagation in the ecosystem of business processes.…”

Section: Related Workmentioning

confidence: 99%

Predicting change impact in Web service ecosystems

Dam

2014

International Journal of Web Information Systems

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Purpose – The paper aims to address the issue of Web service providers facing a major issue of estimating the potential effects of changing a Web service to other services, especially in large ecosystems of Web services which have become more common nowadays. Web service providers make constant changes to their Web services to meet the ever-changing business requirements. Design/methodology/approach – The paper proposes an approach to predict change impact by mining a version history of a Web service ecosystem. The proposed approach extracts patterns of Web services that have been changed together from the version history by using association rule data mining techniques. The approach then uses this knowledge of co-changed patterns for predicting the impact of future changes based on the assumption that Web services which have been changed together frequently in the past will likely be changed together in future. Findings – An empirical validation based on the Amazon’s ecosystem of 46 Web services indicates the effectiveness of the proposed approach. After an initial change, the proposed approach can correctly predict up to 25 per cent of further Web services to be changed with the precision of up to 82 per cent. Originality/value – Traditional approaches to predict change impact in Web services tend to rely on having a dependency graph between Web services. However, in practice, building and maintaining inter-service dependencies that capture the precise semantics and behaviours of the Web services are challenging and costly. The proposed approach offers a novel alternative which only requires mining the existing version history of Web services.

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“…Many works have been conducted on service changes management area which [16] can be an example. In [3] using intelligent solution for finding optimal solution is suggested.…”

Section: Review Of Literaturementioning

confidence: 99%

Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor

Nahvi¹,

Habibi²

2016

ijacsa

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Abstract-The application of service-orientated architecture in organizations for implementation of complicated workflows in electronic way using composite web services has become widespread. Thus, challenging research issues have also been raised in this regard. One of these issues is constructing composite web services by workflows. These workflows are composed of existing web services. Selections of a web service for each of workflow activities and fulfilling users' conditions is still regarded as a major challenge. In fact, selection of a web service out of many such web services with identical function is a critical task which generally depends on composite evaluation tool of QoS. Previously proposed approaches do not consider exchange restrictions on the composition process and internal processes of architecture and previous experiences, and they ignore the fact that value of many of QoSs depends on the time of implementation. Selection of web services only based on QoS does not bring about optimal composite web service. Thus, till now, no solution has been proposed that performs composition process automatically or semi-automatically in optimal manner Objective: identification of existing concerns on composition of services and then designing a framework to provide a solution which consider all concerns and finally performing tests in order to examine and evaluate proposed framework Method: in the proposed framework, elements affecting management of service-oriented architecture processes are organized according to a logical procedure. This framework identifies processes of this style of architecture based on requirements in service-oriented architecture processes management and according to qualitative features in this area. In the proposed framework, in addition to using existing data in the problem area, existing structure and patterns in the area of software architecture are also utilize, and management processes in service-orientated architecture are improved based on propriety of available requirements. QWV are qualitative weighted dynamic features which indicate priority of users, and QF is quality factor of service at the time of implementation which is weighted in the framework. These factors are used for constructing composite web service. Multifactor computing is known as a natural computational system for automating the interaction between services. The factors in multi-agent systems can be used as the main reliable mechanism for the control which usually use data exchange for accelerating their evaluations. For identification of all concerns in the solution space, many aspects should be examined. To this end, classes of agents are defined which investigate these aspects in the form of four components using repository data.Results: proposed framework was simulated by Arena software and results showed this framework can be useful in automatic generation of needed services and meet all concerns at the same time. Results support that using agents in the model increased speed of accountability and ...

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Supporting Change Propagation in the Maintenance and Evolution of Service-Oriented Architectures

Cited by 13 publications

References 19 publications

Impact analysis and change propagation in service-oriented enterprises: A systematic review

Impact analysis and change propagation in service-oriented enterprises: A systematic review

Predicting change impact in Web service ecosystems

Improving Service-Oriented Architecture Processes in Process of Automatic Services Composition Using Memory and QF, QWV Factor

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