An approach to align business and IT perspectives during the SOA services identification

Eric Souza, Ana Moreira, Cristiano De Faveri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Service-oriented architectures are a widely used business practice to develop enterprise information systems. However, the current analysis and design methods consider the software engineering perspective only, what is not sufficient for a proper alignment between business and IT, resulting in demand for new approaches offering the business perspective as well. Such new approaches are required crucial to identify software services that are aligned to the business values, hence contributing to customer satisfaction. This paper describes an approach that focuses on business value modeling and uses model-driven techniques to generate the input required by current software service identification methods, thus aligning business and software perspectives. This approach was evaluated in two parts. First, a quasi-experiment evaluates the perceived efficacy of the business perspective, and a proof-of-concept tool was built to check the feasibility of generating typical inputs needed by software service identification methods. The results show a promising approach for the alignment of business and IT perspectives.

Original languageEnglish
Title of host publicationProceedings of the 2017 17th International Conference on Computational Science and Its Applications, ICCSA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-153863893-4
DOIs
Publication statusPublished - 1 Aug 2017
Event17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italy
Duration: 3 Jul 20176 Jul 2017

Conference

Conference17th International Conference on Computational Science and Its Applications, ICCSA 2017
CountryItaly
CityTrieste
Period3/07/176/07/17

Fingerprint

Service oriented architecture (SOA)
Industry
Software
Alignment
Customer Satisfaction
Business
Service-oriented Architecture
Customer satisfaction
Software Engineering
Design Method
Efficacy
Information Systems
Software engineering
Information systems
Sufficient
Evaluate
Modeling
Experiment

Keywords

  • Service identification
  • Service-oriented
  • Value modeling
  • Value-driven

Cite this

Souza, E., Moreira, A., & De Faveri, C. (2017). An approach to align business and IT perspectives during the SOA services identification. In Proceedings of the 2017 17th International Conference on Computational Science and Its Applications, ICCSA 2017 [8000015] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSA.2017.8000015
Souza, Eric ; Moreira, Ana ; De Faveri, Cristiano. / An approach to align business and IT perspectives during the SOA services identification. Proceedings of the 2017 17th International Conference on Computational Science and Its Applications, ICCSA 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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Souza, E, Moreira, A & De Faveri, C 2017, An approach to align business and IT perspectives during the SOA services identification. in Proceedings of the 2017 17th International Conference on Computational Science and Its Applications, ICCSA 2017., 8000015, Institute of Electrical and Electronics Engineers Inc., 17th International Conference on Computational Science and Its Applications, ICCSA 2017, Trieste, Italy, 3/07/17. https://doi.org/10.1109/ICCSA.2017.8000015

An approach to align business and IT perspectives during the SOA services identification. / Souza, Eric; Moreira, Ana; De Faveri, Cristiano.

Proceedings of the 2017 17th International Conference on Computational Science and Its Applications, ICCSA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 8000015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Souza E, Moreira A, De Faveri C. An approach to align business and IT perspectives during the SOA services identification. In Proceedings of the 2017 17th International Conference on Computational Science and Its Applications, ICCSA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 8000015 https://doi.org/10.1109/ICCSA.2017.8000015