Signal Processing and Information Technology. Second International Joint Conference, SPIT 2012, Dubai, UAE, September 20-21, 2012, Revised Selected Papers

Research Article

Effort Estimation in Software Cost Using Team Characteristics Based on Fuzzy Analogy Method – A Diverse Approach

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  • @INPROCEEDINGS{10.1007/978-3-319-11629-7_1,
        author={S. Malathi and S. Sridhar},
        title={Effort Estimation in Software Cost Using Team Characteristics Based on Fuzzy Analogy Method -- A Diverse Approach},
        proceedings={Signal Processing and Information Technology. Second International Joint Conference, SPIT 2012, Dubai, UAE, September 20-21, 2012, Revised Selected Papers},
        proceedings_a={SPIT},
        year={2014},
        month={11},
        keywords={cost estimation fuzzy analogy team characteristics effort estimation hypothetical data},
        doi={10.1007/978-3-319-11629-7_1}
    }
    
  • S. Malathi
    S. Sridhar
    Year: 2014
    Effort Estimation in Software Cost Using Team Characteristics Based on Fuzzy Analogy Method – A Diverse Approach
    SPIT
    Springer
    DOI: 10.1007/978-3-319-11629-7_1
S. Malathi1,*, S. Sridhar1,*
  • 1: Sathyabama University
*Contact email: malathi_raghu@hotmail.com, drssridhar@yahoo.com

Abstract

The dramatic increase in the scope of software cost estimation has paved way for the enhanced research to develop different methods for estimating the software effort. Estimation of effort in software cost based on Fuzzy Analogy is one of the most popular existing methods. Usually, only the project characteristics are considered for the effort estimation whereas the team characteristics also play a significant role. This paper presents a diverse approach where the features of team characteristics like joy and skill are considered in addition to the project features. The empirical results are validated with the historical datasets having both categorical and numerical data by considering hypothetical data of team characteristics. The outcome of this paper signifies that the usage of team characteristics improves the performance and accuracy of software effort estimation.