Service Discovery Using a Semantic Algorithm in a SOA Modernization Process from Legacy Web Applications

Sosa-Sánchez, Encarna; Clemente, Pedro J.; Sánchez-Cabrera, Miguel; Conejero, José María; Rodríguez-Echeverría, Roberto

doi:10.1109/services.2014.90

Cited by 4 publications

(10 citation statements)

References 15 publications

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“…Secondly, the results obtained are compared with those obtained by an alignment carried out by software engineering experts in terms of validating the results obtained by the approach. Finally, the results obtained are compared with the results obtained in [14] where other semantic algorithm was applied to the same case study.…”

Section: Analysis Of the Results Obtained Using The Bp Alignment Pmentioning

confidence: 99%

“…As previously mentioned, this paper focuses on step (c) in Figure 1 where an alignment process is designed using a semantic service discovery algorithm. In this step (c), two main limitations identified in previous work [13]- [15] and introduced in section I have been overcome: i) the alignment process core, the semantic algorithm, proposed in [14], [66] compared directly the labels of the business process tasks with the web service method signature, without taking into account additional relationships like number of common synonyms or main name in synonyms which could be measured; ii) there were not specific tools with an enough high abstraction degree to support the alignment information obtained. The former has been solved by extending the semantic algorithm presented in [32] so that a new algorithm has been introduced in the approach.…”

Section: An Overview Of the Migrasoa Approachmentioning

confidence: 99%

“…The authors identified the Dieng and Hug algorithm [32] and the Wang et al algorithm [27] as suitable semantic algorithms candidates to comparing ontologies. In [14] we proposed a service discovery using a semantic algorithm based on [27]. In the work [66], we extended the semantic algorithm proposed in [14] to take into account the possible semantic incompatibilities that could arise between business process tasks and web services (incompatibilities between their names, parameters and entire signatures have been taken into account).…”

Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

“…In [14] we proposed a service discovery using a semantic algorithm based on [27]. In the work [66], we extended the semantic algorithm proposed in [14] to take into account the possible semantic incompatibilities that could arise between business process tasks and web services (incompatibilities between their names, parameters and entire signatures have been taken into account). The algorithm was also validated using a case study related to the University context.…”

Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

“…The algorithm was also validated using a case study related to the University context. In this paper, as a paper contribution we have made an optimization of our semantic algorithm (the original and extended algorithm) [14], [66] using an adaptation of [32] to take into account hierarchical relationships between business process tasks and web services. Later on we sum up the results obtained with both algorithms.…”

Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

See 4 more Smart Citations

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

et al. 2020

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Many companies have implemented their business processes in Web applications which must be frequently adapted so as to stay aligned with new business process requirements. Service-oriented architectures (SOAs) constitute an appropriate option to manage the continuous changes in those processes by facilitating their alignment with the changing underlying system services. In this context, firms are trying to migrate their Web applications to new software architectures such as SOAs. However, this migration is usually carried out ad-hoc by means of non-reusable and error-prone manual processes. Similarly, the alignment between the business processes and the underlying services identified is usually done by hand. This work presents a model-driven semiautomatic approach to modernize legacy Web applications to SOAs. The approach is focused on an automatic semantic process aimed at discovering the services that can be used to implement the business processes (defined by the companies), then aligning these processes with the underlying services. A semantic algorithm is provided to aid the migration architect during the alignment process. The case study carried out shows that the alignment process results obtained by the semantic algorithm presented in this paper are similar to those obtained by the experts manually. Finally, SOA orchestration artifacts are generated from the semantic algorithm results. INDEX TERMS Legacy Web applications, service-oriented architecture, semantic algorithms, model-driven techniques.

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Section: Analysis Of the Results Obtained Using The Bp Alignment Pmentioning

confidence: 99%

Section: An Overview Of the Migrasoa Approachmentioning

confidence: 99%

Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

Section: A Semantic Service Discovery Algorithmmentioning

confidence: 99%

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Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

et al. 2020

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Model‐based assisted migration of oracle forms applications: The overall process in an industrial setting

Rodríguez¹,

Garcés

Cabot

et al. 2021

Softw Pract Exp

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The migration of software is an economically important niche since the daily operations of many business still rely on systems based on legacy technologies. Migration to more recent technologies comes with major technical and management challenges mainly related to knowledge‐loss issues on the specific technology but also on the architecture and design of the legacy. This article presents a method that addresses the reverse/forward engineering tasks as well as some management challenges such as the planning of the migration based on a better understanding of the system. The process relies on the use of models and transformations to create high‐level abstraction views of the legacy. A big challenge with the migration of certain legacy applications is that much of the business logic is inside triggers which are written in the PL/SQL language and scattered across the application layers. Therefore, developers need to know what they need to migrate and where it is. The main contribution of our work is that the abstractions allow developers to understand and plan the migration without the need of having a vast knowledge on the initial technology. Furthermore, our views help developers to decide about the structure and business logic they want to have in the target system. In this article, we describe the application of the method to the Oracle Forms case study. Nevertheless, the approach can be generalized to other technologies through new bridges that transform from said technologies to the abstract views. The article ends by reporting lessons learned from our experience.

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Model-Driven Reverse Engineering Approaches: A Systematic Literature Review

2017

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Service Discovery Using a Semantic Algorithm in a SOA Modernization Process from Legacy Web Applications

Cited by 4 publications

References 15 publications

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

Business Process Execution From the Alignment Between Business Processes and Web Services: A Semantic and Model-Driven Modernization Process

Model‐based assisted migration of oracle forms applications: The overall process in an industrial setting

Model-Driven Reverse Engineering Approaches: A Systematic Literature Review

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