Skip to main content

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

  • Conference paper
Signal Processing and Information Technology (SPIT 2012)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chiu, N.H., Huang, S.-J.: The adjusted analogy-based software effort estimation based on similarity distances. The Journal of Systems and Software 80, 628–640 (2007)

    Article  Google Scholar 

  2. Kazemifard, M., Zaeri, A., Ghasem-Aghaee, N., Nematbakhsh, M.A., Mardukhi, F.: Fuzzy Emotional COCOMO II Software Cost Estimation (FECSCE) using Multi-Agent Systems. Applied Soft Computing 11, 2260–2270 (2011)

    Article  Google Scholar 

  3. Li, J., Ruhe, G., Al-Emran, A., Richter, M.M.: A Flexible Method for Software Effort Estimation by Analogy. Empirical Software Engineering 12, 65–106 (2006)

    Article  Google Scholar 

  4. Azzeh, M., Neagu, D., Cowling, P.I.: Analogy-based software effort estimation using Fuzzy numbers. The Journal of Systems and Software 84, 270–284 (2011)

    Article  Google Scholar 

  5. Fedotova, O., Teixeira, L., Alvelos, H.: Software Effort Estimation with Multiple Linear Regression: review and practical application. Journal of Information Science and Engineering (2011)

    Google Scholar 

  6. Satyananda Reddy, C., Raju, K.: Improving the Accuracy of Effort Estimation through Fuzzy Set Representation of Size. Journal of Computer Science 5(6), 451–455 (2009)

    Article  Google Scholar 

  7. Prasad Reddy, P.V.G.D., Sudha, K.R., Rama Sree, P.: Application of Fuzzy Logic Approach to Software Effort Estimation. International Journal of Advanced Computer Science and Applications 2(5) (2011)

    Google Scholar 

  8. Malathi, S., Sridhar, S.: A Classical Fuzzy Approach for Software Effort Estimation on Machine Learning Technique. International Journal of Computer Science Issues 8(6)(1) (November 2011)

    Google Scholar 

  9. Azzeh, M., Neagu, D., Cowling, P.I.: Improving Analogy Software Effort Estimation using Fuzzy Feature Subset Selection Algorithm. In: 4th International Conference on Predictive Models in Software Engineering, pp. 71–78 (2008)

    Google Scholar 

  10. Kazemifard, M., Ghasem-Aghaee, N., Oren, T.I.: An event based implementation of emotional agents. In: Summer Simulation Conference, Calgary, Canada, pp. 63–67 (2006)

    Google Scholar 

  11. Molleman, E., Nauta, A., Jehn, K.A.: Person-Job applied to teamwork: a multilevel approach. Small Group Res. 35, 515–539 (2004)

    Article  Google Scholar 

  12. Costa Jr., P.T., McCrae, R.R.: NEO Personality Inventry, Revised. Psychological Assessment Resources, Odessa (1992); (Spanish version, TEA Ediciones, Madrid) (2002)

    Google Scholar 

  13. Ghasem-Aghaee, N., Oren, T.I.: Towards fuzzy agents with dynamic personality for human behavior simulation. In: Summer Computer Simulation Conference, Montreal, Canada, pp. 3–10 (2003)

    Google Scholar 

  14. Beck, K.: Extreme Programming Explained: Embrace Change. Addison-Wesley, Reading (1999)

    Google Scholar 

  15. Malathi, S., Sridhar, S.: Optimization of Fuzzy Analogy in Software cost estimation using linguistic Variables. In: International Conference on Modeling, Optimization and Computing, ICMOC (2012)

    Google Scholar 

  16. Sayyad Shirabad, J., Menzies, T.J.: The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, Canada (2005), http://promise.site.uottawa.ca/SERepository

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Malathi, S., Sridhar, S. (2014). Effort Estimation in Software Cost Using Team Characteristics Based on Fuzzy Analogy Method – A Diverse Approach. In: Das, V.V., Elkafrawy, P. (eds) Signal Processing and Information Technology. SPIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-319-11629-7_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11629-7_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11628-0

  • Online ISBN: 978-3-319-11629-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics