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Reseach Article

Evaluation of Frameworks for Risk Scheduling and Requirement Volatility with Quality Standards in ICT Project

by Malaya Kumar Nayak, Dr Sanghamitra Mohanty
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 2
Year of Publication: 2011
Authors: Malaya Kumar Nayak, Dr Sanghamitra Mohanty
10.5120/3540-4847

Malaya Kumar Nayak, Dr Sanghamitra Mohanty . Evaluation of Frameworks for Risk Scheduling and Requirement Volatility with Quality Standards in ICT Project. International Journal of Computer Applications. 29, 2 ( September 2011), 1-6. DOI=10.5120/3540-4847

@article{ 10.5120/3540-4847,
author = { Malaya Kumar Nayak, Dr Sanghamitra Mohanty },
title = { Evaluation of Frameworks for Risk Scheduling and Requirement Volatility with Quality Standards in ICT Project },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 2 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number2/3540-4847/ },
doi = { 10.5120/3540-4847 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:42.320925+05:30
%A Malaya Kumar Nayak
%A Dr Sanghamitra Mohanty
%T Evaluation of Frameworks for Risk Scheduling and Requirement Volatility with Quality Standards in ICT Project
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 2
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the most critical factors of risk scheduling in ICT project has been found to be requirement volatility. The reason of excessive failure rates in ICT project is identified to be imprecise requirement analysis, frequently changing requirements, inability of project leader to schedule the risk with proper effective plan considering cost and resources involved and adaption of inappropriate risk scheduling concepts. Maximum research in this area is to generate a new framework for mitigating such issues from scratch, which is again not at all cost effective and reliable. This research journal focuses mainly on the organization practicing quality standards like TQM, ISO, CMM etc., with diversified risk scheduling frameworks which has been comparatively discussed for find their effectiveness. Based on the discussion, certain suggestion has been made which will be of high value for future researchers for mitigating risk in terms of requirement volatility.

References
  1. Susan Ferreira, James Collofello, Dan Shunk, and Gerald Mackulak, Understanding the effects of requirements volatility in software engineering by using analytical modeling and software process simulation, Journal of Systems and Software Volume 82, Issue 10, October 2009, Pages 1568-1577
  2. Yashwant K. Malaiya, Jason Denton, Requirements Volatility and Defect Density, Software Reliability Engineering, International Symposium on 1999 , 10th International Symposium on Software Reliability Engineering
  3. Mark Keil, Paul E. Cule, Kalle Lyytinen and Roy C. Schmidt, 2008. A framework for identifying software project risks, 41(11): 76 – 83
  4. Nogueira, J.C., Luqi; S. Bhattacharya, 2009. A Risk Assessment Model for Software Prototyping Projects, published as proceedings of 11th International Workshop on Rapid System Prototyping, pp: 28 - 33.
  5. Say-Wei Foo, 2009. Software Risk Assessment Model, published in Proceedings of IEEE International Conference on Management of Innovation and Technology, 2: 536-544.
  6. Henri Barki, Suzanne Rivard, Jean Talbot, 2007. Toward an assessment of software development risk, published in Journal of Management Information Systems, 10(2): 203 - 225.
  7. Bee Bee Chua, June M. Verner, 2009. Frontiers in Artificial Intelligence and Applications, published as proceeding of the Conference on New Trends in Software Methodologies, Tools and Techniques, pp: 111-125.
  8. J. Nogueira, Luqi, V. Berzins, and N. Nada, "A Formal Risk Assessment Model for Software Evolution", Proceedings of the 22nd International Conference on Software Engineering(ICSE 2000), 2nd International Workshop on Economics-Driven Software Engineering Research (EDSER-2), Limerick, Ireland, June 4-11, 2000. (No page numbers used).
  9. Xishi Huang a, Danny Ho b, Jing Ren a, Luiz F. Capretz, 2007, Improving the COCOMO model using a neuro-fuzzy approach, ScienceDirect, Applied Soft Computing 7: 29–40
  10. Software Quality, http://en.wikipedia.org/wiki/Software_ quality [Accessed on 28th July, 2011]
  11. Chun-guang Pan and Ying-wu Chen, 2008. An optimization Model of CMMI-Based Software Project Risk Response Planning, published in International Journal of Applied Mathematics and Computer Sciences, 3: 105-113.
  12. Don M. Chance, Robert Brooks, Introduction to Derivatives and Risk Management, Cengage Learning, 2009 - Business & Economics - 672 pages
  13. Jiamthubthugsin, W. and D. Sutivong, 2006. Resource Decisions in Software Development Using Risk Assessment Model, published as Proceedings of the 39th Annual Hawaii International Conference on System Sciences, 9(04-07): 229-238.
Index Terms

Computer Science
Information Sciences

Keywords

Risk planning ICT Risk Scheduling Project planning Requirement volatility