A Proposed Novel Framework for Early Effort Estimation using Fuzzy Logic Techniques

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A Proposed Novel Framework for Early Effort Estimation using Fuzzy Logic Techniques

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Abstract

Estimating software development effort is an important task in the management of software projects. The task of effort estimation is challenging and is an important area of research in the field of Software Project Management. A number of estimation models exist for effort prediction. However, many newer models are still being proposed and researched upon to obtain more accurate estimations. The development of software has always been characterized by parameters that possess certain level of fuzziness. This requires that some degree of uncertainty be introduced in the models, in order to make the models realistic. Fuzzy logic techniques come to play in such a situation to tackle the uncertainty issues. Besides, fuzzy logic had been combined with algorithmic, nonalgorithmic effort estimation models as well as a combination of them to deal with the inherent uncertainty issues. The primary purpose of this paper is to review the studies carried over the years for estimating the software development effort using Fuzzy Logic Techniques in order to improve prediction accuracies. In this paper we have also tried to propose a novel fuzzy logic based framework to estimate the effort at the early stages of software project development. The paper discusses the theoretical foundations and concepts for the framework and in subsequent publications we will be discussing the results obtained from our ongoing experimental work.

References

13 Cites in Article
  1. 1. Petr Musílek,Witold Pedrycz,Giancarlo Succi,Marek Reformat (2000). Software cost estimation with fuzzy models. ACM SIGAPP Applied Computing Review, 8(2), 24-29.
  2. 2. A Gray,S Macdonell (1999). Fuzzy Logic for Software Metric Models throughout the Development Life-Cycle‖. Proceedings of the 18th International Conference of the North American Fuzzy Information Processing Society -NAFIPS, 258-262.
  3. 3. S Macdonell,A Gray,J Calvert (1999). FULSOME: fuzzy logic for software metric practitioners and researchers. ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), 1, 308-313.
  4. 4. J Ryder (1998). Fuzzy Modeling of Software Effort Predic-tion‖ in Proceeding. IEEE Information Technology Conference, 53-56.
  5. 5. Witold Pedrycz,Fernando Gomide (1998). An Introduction to Fuzzy Sets. An Introduction to Fuzzy Sets
  6. 6. J Lewis (2001). Large limits to software estimation. ACM Software Engineering Notes, 26(4), 54-59.
  7. 7. Z Fei,X Liu (1992). COCOMO Fuzzy Constructive Cost Model in Software Engineering. IEEE international conference on Fuzzy systems, 331-337.
  8. 8. S Kumar,B Krishna,P Satsangi (1994). Fuzzy systems and neural networks in software engineering project management‖. Journal of Applied Intelligence, 4, 31-52.
  9. 9. A Gray,S Macdonell (1997). Applications of fuzzy logic to software metric models for development effort estimation. 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.97TH8297), 394-399.
  10. 10. J Ryder (1998). Fuzzy Modeling of Software Effort Predic-tion‖ in Proceeding. IEEE Information Technology Conference, 53-56.
  11. 11. A Idri,A Abran,L Kjiri (2000). COCOMO cost model using Fuzzy Logic‖. 7th International Conference on Fuzzy Theory & Techniques
  12. 12. X Huang,L F Capretz,J Ren,D Ho (2003). Neuro-Fuzzy Model for Software Cost Estimation. Proceedings of the Third International Conference on Quality Software
  13. 13. M Ahmed,M Saliu,J Alghamdi Adaptive Fuzzy Logic-Based Framework for Software. Adaptive Fuzzy Logic-Based Framework for Software

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Dr. Roheet Bhatnagar, Vandana Bhattacharjee, Mrinal Kanti Ghose. 1970. "A Proposed Novel Framework for Early Effort Estimation using Fuzzy Logic Techniques". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 14).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Version of record

v1.2

Issue date
October 14, 2010

Language
English
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A Proposed Novel Framework for Early Effort Estimation using Fuzzy Logic Techniques

Dr. Bhatnagar
Dr. Bhatnagar Sikkim Manipal Institute of Technology/ Sikkim Manipal University
Vandana Bhattacharjee
Vandana Bhattacharjee <p>Sikkim Manipal Institute of Technology/ Sikkim Manipal University</p>
Mrinal Ghose
Mrinal Ghose <p>Sikkim Manipal Institute of Technology</p>