Fuzzy Cognitive Map based Prediction Tool for Schedule Overrun

Fuzzy Cognitive Map based Prediction Tool for Schedule Overrun

Atul Kumar

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Dalwinder Singh Salaria

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Dr. R.C.Gangwar

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Lovely Professional University

Fuzzy Cognitive Map based Prediction Tool for Schedule Overrun

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Abstract

The main aim of any software development organizations is to finish the project within acceptable or customary schedule and budget. Software schedule overrun is one of a question that needs more concentration. Schedule overrun may affect the whole project success like cost, quality and increases risks. Schedule overrun can be reason of project failure. In today’s competitive world, controlling the schedule slippage of software project development is a challenging task. Effective handling of schedule is an essential need for any software project organization. The main tasks for software development estimation are determining the effort, cost and schedule of developing the project under consideration. Underestimation of project done knowingly just to win contract results into loses and also the poor quality project. So, precise schedule prediction leads to efficient control of time and budget during software development. In this paper, we developed a new technique for the prediction of schedule overrun. This paper also presents the comparison with other algorithms of schedule estimation and Tool developed by us and at last proved that Fuzzy cognitive map based prediction tool gives more accurate results than other training algorithms.

References

12 Cites in Article

Reference Format

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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

Atul Kumar. 2014. \u201cFuzzy Cognitive Map based Prediction Tool for Schedule Overrun\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C4): .

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GJCST Volume 14 Issue C4
Pg. 21- 28

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

CCM FCM fuzzy PERTBN

Submission ReceivedDecember 13, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

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v1.2

Issue date

July 5, 2014

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Article Matrices

Total Score: 108

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Atul Kumar, Dalwinder Singh Salaria, Dr. R.C.Gangwar (PhD/Dr. count: 1)

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Publish Date: 2014 07, Sat

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Total Views: 8711

Total Downloads: 2136

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