Comparative Analyisis of Software Cost Estimation Project using Algorithmic Method

Muhammad Indra Zul Aqlani, Nuning Septiana

Abstract


Software Cost Estimation has become an important factor to determine the efficiency of software development. There are many model of cost estimation like algorithmic model, top-down, and expert judgement. From all those models, Development in Algorithmic model is higher than the others. In this paper we present a comparative analysis of software cost project using algorithmic methods.

Keywords


Algorithmic Method; Comparative Analyisis; Software Cost Estimation

Full Text:

PDF

References


L.H. Putnam, A general empirical solution to the macro software sizing and estimation problem,. IEEE Transactions on Software Engineering, pp. 345.361, , July 1978.

Caper Jones, Estimating software cost. tata Mc- Graw -Hill Edition 2007.

S. Kumari and S. Pushkar, “Performance Analysis of the Software Cost Estimation Methods : A Review,” Int. J. Adv. Res. Comput. Sci. Softw. Eng. Res., vol. 3, no. 7, pp. 229–238, 2013.

Attarzadeh, I., & Ow, S. H. O. S. H. (2010). A novel soft computing model to increase the accuracy of softwAttarzadeh, I., & Ow, S. H. O. S. H. (2010). A novel soft computing model to increase the accuracy of software development cost estimation. Computer and Automation Engineering (ICCAE), 2010 The. Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on, 3, 603–607. https://doi.org/10.1109/ICCAE.2010.5451810

Kazemifard, M., Zaeri, A., Ghasem-Aghaee, N., Nematbakhsh, M. A., & Mardukhi, F. (2011). Fuzzy Emotional COCOMO II Software Cost Estimation (FECSCE) using Multi-Agent Systems. Applied Soft Computing Journal, 11(2), 2260–2270. https://doi.org/10.1016/j.asoc.2010.08.006

Jena, P. P., Jha, P., Jena, P. P., & Malu, R. K. (2014). Estimating Software Development Effort using UML Use Case Point ( UCP ) Method with a Modified set of Environmental Factors Estimating Software Development Effort using UML Use Case Point ( UCP ) Method with a Modified set of Environmental Factors, 5(April), 9–12.

Nassif, A. B., Capretz, L. F., Ho, D., & Azzeh, M. (2012). A Treeboost Model for Software Effort Estimation Based on Use Case Points. 2012 11th International Conference on Machine Learning and Applications, 314–319. https://doi.org/10.1109/ICMLA.2012.155

Nassif, A. B., Capretz, L. F., & Ho, D. (2010). Enhancing Use Case Points Estimation Method Using Soft Computing Techniques. Journal of Global Research in Computer Science, 1(4), 12–21.

Jain, R., Sharma, V. K., & Hiranwal, S. (2017). Reduce mean magnitude relative error in software cost estimation by HOD-COCOMO algorithm. 2016 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2016, 708–712. https://doi.org/10.1109/ICCICCT.2016.7988044

Suelmann, H. (2014). Putnam’s effort-duration trade-off law: Is the software estimation problem really solved? Proceedings - 2014 Joint Conference of the International Workshop on Software Measurement, IWSM 2014 and the International Conference on Software Process and Product Measurement, Mensura 2014, 79–84. https://doi.org/10.1109/IWSM.Mensura.2014.25

Kashyap, D., & Misra, A. K. (2013). Software development cost estimation using similarity difference between software attributes. Proceedings of the 2013 International Conference on Information Systems and Design of Communication - ISDOC ’13, 1. https://doi.org/10.1145/2503859.2503860

Borade, J. G., & Khalkar, V. R. (2013). Software Project Effort and Cost Estimation Techniques. International Journal of Advanced Research in Computer Science and Software Engineering, 3(8), 730–739.

R. D. A. Araújo, S. Soares, and A. L. I. Oliveira, “Expert Systems with Applications Hybrid morphological methodology for software development cost estimation,” vol. 39, pp. 6129–6139, 2012.

R. D. A. Araújo, A. L. I. Oliveira, S. Soares, and S. Meira, “An evolutionary morphological approach for software development cost estimation,” Neural Networks, vol. 32, pp. 285–291, 2012.

I. Attarzadeh and S. H. Ow, “A Novel Soft Computing Model to Increase the Accuracy of Software Development Cost Estimation,” pp. 603–607.

Karner, G. (1993). Resource Estimation for Objectory Projects, 1–9.




DOI: http://dx.doi.org/10.12962/j12342343.v1i1.4363

Refbacks

  • There are currently no refbacks.


Creative Commons License
Engineering Software Requirements by Lembaga Penelitian dan Pengabdian Kepada Masyarakat is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://iptek.its.ac.id/index.php/re/. View Visitors