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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
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)
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)
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)
Fedotova, O., Teixeira, L., Alvelos, H.: Software Effort Estimation with Multiple Linear Regression: review and practical application. Journal of Information Science and Engineering (2011)
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)
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)
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)
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)
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)
Molleman, E., Nauta, A., Jehn, K.A.: Person-Job applied to teamwork: a multilevel approach. Small Group Res. 35, 515–539 (2004)
Costa Jr., P.T., McCrae, R.R.: NEO Personality Inventry, Revised. Psychological Assessment Resources, Odessa (1992); (Spanish version, TEA Ediciones, Madrid) (2002)
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)
Beck, K.: Extreme Programming Explained: Embrace Change. Addison-Wesley, Reading (1999)
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)
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
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)