Applying FuzzyAHP for software effort estimation in data scarcity

Applying Fuzzy-AHP for software effort estimation in data scarcity

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-45 Number-1
Year of Publication : 2017
Authors : Sumeet Kaur Sehra, Yadwinder Singh Brar, Navdeep Kaur
DOI :  10.14445/22315381/IJETT-V45P202

Citation 

Sumeet Kaur Sehra, Yadwinder Singh Brar, Navdeep Kaur "Applying Fuzzy-AHP for software effort estimation in data scarcity", International Journal of Engineering Trends and Technology (IJETT), V45(1),4-9 March 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Project managers and estimators have considered software effort estimation as a most challenging task. Vast research has been conducted for finding the best effort estimation model but it has been proved that none of these models is completely suitable for all environments and datasets. Expert judgement is most prevalent method for estimation but requires documented data for estimating the effort. in case of data scarcity, Analytic Hierarchy Process (AHP), a multi-criteria decision making approach inspired by the intelligent behaviour of human beings can be used effectively. But AHP suffers from inconsistency and rank reversal so fuzziness of decision maker can be incorporated by using Fuzzy-AHP (FAHP). The motive of this paper is to propose FAHP for predicting the effort of project in data scarcity. The effort of the projects is estimated with minimum single known project effort. The proposed method is validated using IVR dataset of real projects and results obtained show better accuracy as compared to other existing effort estimation models.

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Keywords
Effort Estimation, Multi-criteria Decision Making, Expert Judgement, Analytic Hierarchy Process.