Analyzing Cost Estimation Model to Optimize COCOMO II for Enterprise Level Software

Muhammad Javed Shad, Faisal Bahadar


The stimulus to carry out this research is to find out the best ERP cost estimation model while implementing ERP in the context of Pakistan. For this purpose study has utilized qualitative and quantitative approach. Initially the comparison of existing several cost estimation model has been done through literature review. On the basis of substantive literature review, one ERP cost estimation mode has been chosen i.e. COCOMO. In second phase, in order to validate this model in the context of Pakistan, the study has adapted a questionnaire from relevant study and survey has been done of the IT companies operating in Pakistan which are also involved in ERP implementation. Sample has been collected from 27 companies and data analysis is done in a statistical software (SPSS). On the basis of results obtained from the SPSS and with the support of literature findings has been extracted. Findings indicate that COCOMO II is the best model to estimate the ERP implementation cost in the context of Pakistan. Moreover it is recommended to validate his model in the other countries. Findings would be beneficial for the future studies and contributes in the knowledge of scientific community. Moreover, results of this study can be helpful for other companies in Pakistan who are involved in ERP implementation process and looking for best model to estimate cost of ERP implementation.


ERP; ERP implementation; software engineering; Cost estimation model.

Full Text:



Basha, S., & Ponnurangam, D. (2010). Analysis of empirical software effort estimation models. arXiv preprint arXiv:1004.1239 .

Boehm, B. W., & Valerdi, R. (2008). Achievements and challenges in cocomo-based software resource estimation. Software, IEEE , 25 (5), 74-83.

Daneva, M. (2007). Approaching the ERP project cost estimation problem: An experiment. Proceedings of the First, (pp. 500-500).

Daneva, M., & Wieringa, R. (2008). Cost estimation for cross-organizational ERP projects: research perspectives. Software Quality Journal , 16 (3), 459-481.

Equey, C., Kusters, R. J., Varone, S., & Montandon, N. (2008). Empirical Study of ERP Systems Implementation Costs in Swiss SMEs. In ICEIS (1)(pp. 143-148).

Gharehchopogh, F. S. (2011). Neural networks application in software cost estimation: A case study. Innovations in Intelligent Systems and Applications (INISTA). 2011 International Symposium on, (pp. 69-73).

Hjalmarsson, A., Korman, M., & Lagerstrom, R. (2013). Software Migration Project Cost Estimation using COCOMO II and Enterprise Architecture Modeling. PoEM (Short Papers), (pp. 39-48).

Kashyap, D., Tripathi, A., & Misra, A. (2012). Software Development Effort and Cost Estimation: Neuro-Fuzzy Model. Software Development Effort and Cost Estimation:Neuro-Fuzzy Model . IOSRJCE.

Kusters, R. J., Heemstra, F. J., & Jonker, A. (2009). ERP Implementation Costs: A Preliminary Investigation. In Enterprise Information Systems (pp. 95-107). Springer.

Lagerstrom, R., Baldwin, C., MacCormack, A., & Aier, S. (2014). Visualizing and Measuring Enterprise Application Architecture: An Exploratory Telecom Case. System Sciences (HICSS), 2014 47th Hawaii International Conference on, (pp. 3847-3856).

Menachemi, N., Shin, D. Y., Ford, E. W., & Yu, F. (2011). Environmental factors and health information technology management strategy. Health care management review , 36 (3),275-285.

Mittas, N., & Angelis, L. (2013). Ranking and clustering software cost estimation models through a multiple comparisons algorithm. Software Engineering, IEEE Transactions on , 39 (4), 537-551.

Plecka, P., & Bzdyra, K. (2013). Algorithm of selecting cost estimation methods for ERP software implementation. Applied Computer Science, 9.

Rosa, W., Packard, T., Krupanand, A., Bilbro, J. W., & Hodal, M. M. (2013). COTS integration and estimation for ERP. Journal of Systems and Software , 86 (2), 538-550.

Shekhar, S., Kumar, U. (2016). Review of Various Software Cost Estimation Techniques. International Journal of Computer Applications, 141 (11), 00975 – 8887.

Sumner, M. (2007). Enterprise resource planning. Pearson Education.

Somers, T. M., & Nelson, K. (2001). The impact of critical success factors across the stages of enterprise resource planning implementations. System Sciences, 2001. Proceedings of the 34th Annual Hawaii International Conference on, (pp. 10--pp).

Seth, A., Agarwal, H., & Singla, A. (2014). Techniques for Evaluating Service Oriented Systems: A Comparative Study. 2014 .

Samuel, L., Lance, T., & Seth, B. (n.d.). Retrieved 01 02, 2015, from

Umble, E. J., Haft, R. R., & Umble, M. M. (2003). Enterprise resource planning: Implementation procedures and critical success factors. European journal of operational research , 146 (2), 241-257.

Zia, Z., Rashid, A., & uz Zaman, K. (2011). Software cost estimation for component-based fourth-generation-language software applications. IET software , 5 (1), 103-110.


  • There are currently no refbacks.





About IJC | Privacy PolicyTerms & Conditions | Contact Us | DisclaimerFAQs 

IJC is published by (GSSRR).