A Fuzzy based Parametric Approach for Software Effort Estimation

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H. Parthasarathi Patra 1,* Kumar Rajnish 1

1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2018.03.06

Received: 13 Nov. 2017 / Revised: 3 Dec. 2017 / Accepted: 15 Jan. 2018 / Published: 8 Mar. 2018

Index Terms

Fuzzy logic, Membership function, KLOC, MRE, MMRE, PRED


Accurate Software effort estimation is an ongoing challenge for the modern software engineers in computer science engineering since last 30 years due to the dynamic behavior of the software [1] [2][14]. This is only because of the time and cost estimation during the early stage of the software development is quite difficult and erroneous. So many algorithmic and non algorithmic techniques are used such as SLIM (Software life cycle management), Halstead Model, Bailey-Basil Model, COCOMO model and Function point analysis, etc, but does not estimate all kinds of software accurately. Nowadays these traditional techniques are not acceptable. This research work proposes a new fuzzy model to achieve higher accuracy by multiplying a fuzzy factor with the effort equation predicted empirically. As comparison to both model based and equation based, Model based estimation focused on specific models where as equation based techniques are based on traditional equations. Fuzzy logic is more suitable and flexible to meet the realistic challenges of today’s software estimation process.

Cite This Paper

H. Parthasarathi Patra, Kumar Rajnish, " A Fuzzy based Parametric Approach for Software Effort Estimation", International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.3, pp. 47-54, 2018. DOI:10.5815/ijmecs.2018.03.06


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