The week's pick
Random Articles
Reseach Article
Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects
by
Kuldeep Deshpande,
Bhimappa Desai
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 9 - Number 8 |
| Year of Publication: 2015 |
| Authors: Kuldeep Deshpande, Bhimappa Desai |
10.5120/ijais2015451446
|
Kuldeep Deshpande, Bhimappa Desai . Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects. International Journal of Applied Information Systems. 9, 8 ( October 2015), 42-49. DOI=10.5120/ijais2015451446
@article{
10.5120/ijais2015451446,
author = {
Kuldeep Deshpande,
Bhimappa Desai
},
title = { Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects },
journal = {
International Journal of Applied Information Systems
},
issue_date = { October 2015 },
volume = { 9 },
number = { 8 },
month = { October },
year = { 2015 },
issn = { 2249-0868 },
pages = {
42-49
},
numpages = {9},
url = {
https://www.ijais.org/archives/volume9/number8/829-2015451446/
},
doi = { 10.5120/ijais2015451446 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:00:44.377287+05:30
%A Kuldeep Deshpande
%A Bhimappa Desai
%T Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 9
%N 8
%P 42-49
%D 2015
%I 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.
References
- 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
- 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
- Alistair Cockburn, Selecting a Project’s Methodology, IEEE SOFTWARE, August 2000
- VersionOne, State of Agile Development, 7th Annual Survey, http://www.versionone.com/state_of_agile_development_survey/11/. Accessed Jan 2015
- VersionOne, State of Agile Development, 8th Annual Survey, http://www.versionone.com/state_of_agile_development_survey/11/. Accessed Jan 2015
- R.W. van Dijk, Determining the Suitability of Agile Methods for a Software Project, 15th Twente Student Conference on IT, June 20th, 2011
- Mihaela MUNTEAN, Traian SURCEL, Agile BI – The Future of BI, Informatica Economica vol. 17, no. 3/2013
- D. Vavpotic, O. Vasilecas, An Approach for Assessment of Software Development Methodologies Suitability, Elektronika IR Elektrotechnika, 2011
- Susan, Mulder, An Approach for Assessment of Software Development Methodologies Suitability, University of Pretoria, 2010
- 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
- Dave West and Tom Grant, Agile Development: Mainstream Adoption Has Changed Agility, January 20, Forrester, 2010
- Daniel Turk, Bernhard Rumpe, Assumptions Underlying Agile Software Development Processes, Journal of Database Management, 2003
- 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
- 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
- Matteo Golfarelli, Stefano Rizzi, and Elisa Turricchia, Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WD, Springer-Verlag Berlin Heidelberg, 2011
- Deanne Larson, BI Principles for Agile Development: Keeping Focused, BUSINESS INTELLIGENCE JOURNAL VOL. 14, NO. 4, 2010
- 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
- Ken Collier, Agile Analytics-A value driven approach to business intelligene and data warehousing 1st Edition, Addison-Wesley, 2011
- 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
- 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
- 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
- Thomas Saaty, How to make a decision: The analytical hierarchy process, European Journal of Operational Research, 1990
Index Terms
Computer Science
Information Sciences
Keywords