skip to main content
10.1145/3275245.3275276acmotherconferencesArticle/Chapter ViewAbstractPublication PagessbqsConference Proceedingsconference-collections
research-article

On the applicability of BDD in a Business Intelligence project: experience report

Authors Info & Claims
Published:17 October 2018Publication History

ABSTRACT

Behavior-driven development (BDD) is a software development technique that in order to succeed relies heavily on the definition of clear acceptance criteria by software developers in the form of behavioral scenarios, later translated into acceptance tests. The adoption of BDD in Business Intelligence (BI) projects requires developers to have a broad acquaintance to business that often even customers themselves do not possess. This article presents an experience report on the use of BDD in the development of a large public health related BI project. Experience suggests that the use of BDD may not be appropriate for BI projects, especially during the early stages of development, when there is still insufficient clarity about business acceptance criteria. The need for broad maturity towards business understanding makes it complex to adopt the behavioral approach within the development process in projects of this nature.

References

  1. North, Dan; (2006). Introducing BDD. Better Software Magazine (USA).Google ScholarGoogle Scholar
  2. C. Solıs and X. Wang. A study of the characteristics of behavior driven development. In Proceedings of the 37th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA 2011), pages 383--387, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Yeoh, W. and Koronios, A., (2010). Critical Success Factors For Business Intelligence Systems, Journal of Computer Information Systems, Spring, 23--132.Google ScholarGoogle Scholar
  4. Martin, Robert C.; "Agile Software Development, Principles, Patterns, and Practices". Pearson Education, EUA (2002) Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. H.P. Tavares, G. Guimarães Rezende, V. Mota, R. Soares Manhães, R., and R. Atem De Carvalho, A tool stack for implementing Behaviour-Driven Development in Python Language, CoRR, 2010.Google ScholarGoogle Scholar
  6. Reinschmidt, J. & Francoise, A. Business Intelligence Certification Guide, IBM International Technical Support Organization, San Jose, CA, 2000.Google ScholarGoogle Scholar
  7. Smart, J. (2014). BDD in Action: Behavior-Driven Development for the Whole Software Lifecycle. Manning Publications, Shelter Island, NYGoogle ScholarGoogle Scholar
  8. K. Schwaber e J. Sutherland, Guia do Scrum, Um guia definitivo para o Scrum: As regras do jogo. 2017, {online} disponível em: https://www.scrumguides.org/docs/scrumguide/v2017/2017-Scrum-Guide-Portuguese-Brazilian.pdfGoogle ScholarGoogle Scholar
  9. Zimmer M, Baars H, Kemper H (2012) "The impact of agility requirements on business intelligence architectures". In: Proceedings of the 45th HICSS, Hawaii, 2007 Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. B.H. Wixom, H.J. Watson, "An empirical investigation of the factors affecting data warehousing success"; MIS Quarterly, 25 (1) (2001), pp. 17--41 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Cynthia Cohen, Stanley Birkin, Monica Garfield, and Harold Webb, "Managing Conflict in Software Testing," Communications of the ACM, vol. 47, no. 1, January 2004, pp. 76--81 Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. CMMI, P. T. (2010). Cmmi® for development, version 1.3, improving processes for developing better products and services, no. CMU/SEI-2010- TR-033. Software Engineering Institute.Google ScholarGoogle Scholar
  13. Associação Brasileira de Normas Técnicas - ABNT. Sistemas de gestão da qualidade: requisitos -- NBR ISO-9001. Rio de Janeiro, dez. 2000.Google ScholarGoogle Scholar
  14. GitLab. Application for all stages of the DevOps lifecycle. {online} disponível em: https://about.gitlab.comGoogle ScholarGoogle Scholar
  15. JUnit. Testing framework for Java 8 and beyond. {online} disponível em: https://junit.org/junit5/.Google ScholarGoogle Scholar
  16. H2 Database Engine. Java SQL database. {online} disponível em: http://www.h2database.com/html/main.html.Google ScholarGoogle Scholar
  17. Karma. Test Runner for JavaScript. {online} disponível em: https://karma runner.github.io/2.0/index.htmlGoogle ScholarGoogle Scholar
  18. Cordemans P., Landschoot S., Boydens J., Steegmans E. (2014) "Test-Driven Development as a Reliable Embedded Software Engineering Practice", M. A. Khan et al. (eds.), Embedded and Real Time System Development: A Software Engineering Perspective, Studies in Computational Intelligence 520, ©Springer-Verlag Berlin Heidelberg 2014Google ScholarGoogle ScholarCross RefCross Ref
  19. Corner Case. Wikipedia. Acessado em 8 de julho de 2018. {online} disponível em: https://en.m.wikipedia.org/wiki/Corner_case.Google ScholarGoogle Scholar

Index Terms

  1. On the applicability of BDD in a Business Intelligence project: experience report

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          SBQS '18: Proceedings of the XVII Brazilian Symposium on Software Quality
          October 2018
          384 pages
          ISBN:9781450365659
          DOI:10.1145/3275245

          Copyright © 2018 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 17 October 2018

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
          • Research
          • Refereed limited

          Acceptance Rates

          Overall Acceptance Rate35of99submissions,35%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader