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Literature Survey on Non-Algorithmic Methods for Software Development Cost Estimation


Affiliations
1 IBMRD, Ahmednagar, India
2 University of Pune, India
3 IMSCD & R, Ahmednagar, India
     

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Software cost estimators have expressed concern over their inability to estimate accurate costs associated with software development. Considerable studies carried out to evaluating and selecting better software cost estimation methods and tools for specific software development projects. There are many software cost estimation methods, which can be classified into two types’ algorithmic methods and non-algorithmic methods.

This paper gives an overview of non-algorithmic cost estimation methods and then discusses their advantages and disadvantages. No one method is necessarily good or worse than the other, in fact, their strengths and weaknesses are often complimentary to each other. The guidelines for selecting appropriate cost estimation methods are also included. It also focuses on some of the relevant reasons that cause inaccurate estimation.


Keywords

Algorithmic, Analogy, Delphi Technique, Fuzzy Method, Neural Network, Non-algorithmic, Parkinson’s Law, Pricing to win, Software Cost Estimation, Top down and Bottom up Methods.
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  • Literature Survey on Non-Algorithmic Methods for Software Development Cost Estimation

Abstract Views: 220  |  PDF Views: 3

Authors

Shubhangi Mahesh Potdar
IBMRD, Ahmednagar, India
Manimala Puri
University of Pune, India
Mahesh P. Potdar
IMSCD & R, Ahmednagar, India

Abstract


Software cost estimators have expressed concern over their inability to estimate accurate costs associated with software development. Considerable studies carried out to evaluating and selecting better software cost estimation methods and tools for specific software development projects. There are many software cost estimation methods, which can be classified into two types’ algorithmic methods and non-algorithmic methods.

This paper gives an overview of non-algorithmic cost estimation methods and then discusses their advantages and disadvantages. No one method is necessarily good or worse than the other, in fact, their strengths and weaknesses are often complimentary to each other. The guidelines for selecting appropriate cost estimation methods are also included. It also focuses on some of the relevant reasons that cause inaccurate estimation.


Keywords


Algorithmic, Analogy, Delphi Technique, Fuzzy Method, Neural Network, Non-algorithmic, Parkinson’s Law, Pricing to win, Software Cost Estimation, Top down and Bottom up Methods.