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Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects

Kuldeep Deshpande, Bhimappa Desai. Published in Software Engineering

Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects
International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 9 Number 8
Authors: Kuldeep Deshpande, Bhimappa Desai
10.5120/ijais2015451446
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  1. Kuldeep Deshpande and Bhimappa Desai. Article: Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects. International Journal of Applied Information Systems 9(8):42-49, October 2015. BibTeX

    @article{key:article,
	author = "Kuldeep Deshpande and Bhimappa Desai",
	title = "Article: Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects",
	journal = "International Journal of Applied Information Systems",
	year = 2015,
	volume = 9,
	number = 8,
	pages = "42-49",
	month = "October",
	note = "Published by Foundation of Computer Science (FCS), NY, USA"
}

Abstract

Use of Agile methodologies for datawarehouse project implementation has been recommended in last few years considering challenges with using waterfall methodologies. This paper examines factors that decide suitability of agile methodology for datawarehouse projects. It proposes a model for assessing projects on various factors to decide if agile methodology is suitable for a datawarehouse project. This research contributes to IS success theory in the field of datawarehousing. Practical evaluation and application of model to projects can lead to avoiding high cost failures of datawarehouse projects.

Reference

  1. Minna Pikkarainen, Ulla Passoja, An Approach for Assessing Suitability of Agile Solutions:A Case Study, Presented in XP 2005, 6th International conference of eXtreme Programming and agile process in software engineering. June 18-23, 2005
  2. G. Mikulenas, R. Butleris, An Approach for Constructing Evaluation Model of Suitability Assessment of Agile Methods using Analytic Hierarchy Process, Electronics & Electrical Engineering;2010, Issue 106, p99, 2010
  3. Alistair Cockburn, Selecting a Project’s Methodology, IEEE SOFTWARE, August 2000
  4. VersionOne, State of Agile Development, 7th Annual Survey, http://www.versionone.com/state_of_agile_development_survey/11/. Accessed Jan 2015
  5. VersionOne, State of Agile Development, 8th Annual Survey, http://www.versionone.com/state_of_agile_development_survey/11/. Accessed Jan 2015
  6. R.W. van Dijk, Determining the Suitability of Agile Methods for a Software Project, 15th Twente Student Conference on IT, June 20th, 2011
  7. Mihaela MUNTEAN, Traian SURCEL, Agile BI – The Future of BI, Informatica Economica vol. 17, no. 3/2013
  8. D. Vavpotic, O. Vasilecas, An Approach for Assessment of Software Development Methodologies Suitability, Elektronika IR Elektrotechnika, 2011
  9. Susan, Mulder, An Approach for Assessment of Software Development Methodologies Suitability, University of Pretoria, 2010
  10. Chetankumar Patel. Muthu Ramachandran, Agile Maturity Model (AMM): A Software Process Improvement framework for Agile Software Development Practices, Int.J. of Software Engineering, IJSE Vol.2 No.1 January 2009
  11. Dave West and Tom Grant, Agile Development: Mainstream Adoption Has Changed Agility, January 20, Forrester, 2010
  12. Daniel Turk, Bernhard Rumpe, Assumptions Underlying Agile Software Development Processes, Journal of Database Management, 2003
  13. Tim Nugent et al, Business Intelligence and Data Warehousing Taking an agile approach to implementation,http://www2.deloitte.com/content/dam/Deloitte/au/Documents/technology/deloitte-au-tech-business-intelligence-data-warehousing-161014.pdf, accessed February 2015
  14. Kuldeep Deshpande, Bhimappa Desai, A Critical Study of requirement gathering and testing techniques for datawarehousing, INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & MANAGEMENT INFORMATION SYSTEM, April 2014
  15. Matteo Golfarelli, Stefano Rizzi, and Elisa Turricchia, Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WD, Springer-Verlag Berlin Heidelberg, 2011
  16. Deanne Larson, BI Principles for Agile Development: Keeping Focused, BUSINESS INTELLIGENCE JOURNAL VOL. 14, NO. 4, 2010
  17. Matteo Golfarelli, From User Requirements to Conceptual Design in Data Warehouse Design – a Survey, Data Warehouse Design and Advance Engineering Applications: Methods for Complex Construction; 2010: 1
  18. Ken Collier, Agile Analytics-A value driven approach to business intelligene and data warehousing 1st Edition, Addison-Wesley, 2011
  19. Petr Podrouzek, https://www.linkedin.com/pulse/20140916184627-77036555-agile-bi-series-1-13-agile-for-bi-is-recommended-by-the-experts-but-is-it-used-in-the-real-world?trk=mp-author-card&trk=mp-author-card, Accessed April 2015
  20. Afshin Pakseresht , Dr. Gholamreza Asgari, Determining the Critical Success Factors in Construction Projects: AHP Approach, INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS, Vol 4, 2012
  21. C. Wohlin and A. Andrews, "Prioritizing and Assessing Software Project Success Factors and Project Characteristics using Subjective Data", Empirical Software Engineering: An International Journal, Vol. 8, No. 3, pp. 285-308, 2003
  22. Thomas Saaty, How to make a decision: The analytical hierarchy process, European Journal of Operational Research, 1990

Keywords

Agile, AHP