Measurement of Web-Based Merchant Application Portal (MAP) Using Function Point Analysis and Constructive Cost Model II
Authors: 
Irvan Santoso, Harco Leslie Hendric Spits Warnars, Ford Lumban Gaol, Edi Abdurachman, Benfano SoewitoAuthors Info & Claims
Irvan Santoso, Harco Leslie Hendric Spits Warnars, Ford Lumban Gaol, Edi Abdurachman, Benfano SoewitoAuthors Info & ClaimsPages 639 - 644
Abstract
The development of technology and the internet is one of the critical factors that must be considered by companies especially those engaged in e-commerce. The web-based application is one of the tools used by e-commerce in making it easier for users to conduct transactions and data processing. The application that developed must be calculated carefully so the effectiveness and efficiency can be appropriately maintained. In this research, the calculation of the size of the software, effort, time, staff, and the total cost needed to work on an application was calculated using the Function Point Analysis (FPA) and Constructive Cost Model II (CoCoMo II) methods. The application that has been analyzed and estimated is Merchant Application Portal (MAP) which is an application designed by one of the companies in Indonesia. The estimation results obtained, scilicet the size of software amounted to 10,02972 KLOC, effort amounted to 48.521 Person Month, time development of 13 months, staff needed as many as four staff, and the estimated cost amounted to IDR 13,828,852.79 or $ 971.54. In addition, this calculation can be used by other companies to find out the resources needed in making a software to be more effective and efficient.
References
[1]
J. Sathishkumar and D. R. Patel, “A Survey on Internet of Things: Security and Privacy Issues,” International Journal of Computer Applications, vol. 90, no. 11, pp. 20–26, 2014.
[2]
S. Fang, L. D. Xu, Y. Zhu, J. Ahati, H. Pei, J. Yan, and Z. Liu, “An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things,” IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1596–1605, 2014.
[3]
M. Shahiduzzaman and K. Alam, “The long-run impact of Information and Communication Technology on economic output: The case of Australia,” Telecommunications Policy, vol. 38, no. 7, pp. 623–633, 2014.
[4]
K. C. Laudon and C. G. Traver, E-commerce: business, technology, society. Boston ; Columbus ; Indianapolis ; Munich: Pearson, 2019.
[5]
R. Rahayu and J. Day, “Determinant Factors of E-commerce Adoption by SMEs in Developing Country: Evidence from Indonesia,” Procedia - Social and Behavioral Sciences, vol. 195, pp. 142–150, 2015.
[6]
M. Savrul, A. Incekara, and S. Sener, “The Potential of E-commerce for SMEs in a Globalizing Business Environment,” Procedia - Social and Behavioral Sciences, vol. 150, pp. 35–45, 2014.
[7]
Z. Yang, “An Organizational Mode with Reputation for O2O E-Commerce,” Lecture Notes in Electrical Engineering Proceedings of the First Symposium on Aviation Maintenance and Management-Volume II, pp. 707–714, 2014.
[8]
Y. C. Cho and E. Sagynov, “Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment,” International Journal of Management & Information Systems (IJMIS), vol. 19, no. 1, p. 21, 2015.
[9]
M. P. Robillard, W. Maalej, R. J. Walker, and T. Zimmermann, Recommendation systems in software engineering. Berlin: Springer, 2016.
[10]
R. A. J. I. B. MALL, FUNDAMENTALS OF SOFTWARE ENGINEERING. Place of publication not identified: PHI LEARNING, 2018.
[11]
N. E. Fenton and J. Bieman, Software metrics: a rigorous and practical approach. Boca Raton: CRC Press, 2015.
[12]
Z. A. Siddiqui and K. Tyagi, “A critical review on effort estimation techniques for service-oriented-architecture-based applications,” International Journal of Computers and Applications, vol. 38, no. 4, pp. 207–216, 2016.
[13]
C. Thirumalai, R. R. Shridharshan, and L. R. Reynold, “An assessment of halstead and COCOMO model for effort estimation,” 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 2017.
[14]
J. S. Lent and Y. Qu, “On XML Based Automated Function Point Analysis: An Effective Method to Assess Developer Productivity,” Lecture Notes on Software Engineering, vol. 3, no. 4, pp. 245–250, 2015.
[15]
K. Usharani, V. V. Ananth, and D. Velmurugan, “A survey on software effort estimation,” 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016.
[16]
A. Hira, S. Sharma, and B. Boehm, “Calibrating COCOMO® II for projects with high personnel turnover,” Proceedings of the International Workshop on Software and Systems Process - ICSSP 16, 2016.
[17]
J. Shah, N. Kama, and S. A. Ismail, “An Empirical Study with Function Point Analysis for Software Development Phase Method,” Proceedings of the 7th International Conference on Software and Information Engineering - ICSIE 18, 2018.
[18]
S. D. Martino, F. Ferrucci, C. Gravino, and F. Sarro, “Web Effort Estimation: Function Point Analysis vs. COSMIC,” Information and Software Technology, vol. 72, pp. 90–109, 2016.
[19]
B. Kang and J. Lee, “Estimating Procedure for Function Point Analysis in Korea,” 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2018.
[20]
M. Kaur and S. K. Sehra, “Particle swarm optimization based effort estimation using Function Point analysis,” 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014.
[21]
“Function Point Languages Table,” QSM SLIM-Estimate, 20-Apr-2017. [Online]. Available: http://www.qsm.com/resources/function-point-languages-table. [Accessed: 25-Jan-2019].
[22]
B. Panda, S. Sharma, and N. R. Roy, Data Science and Analytics: 4th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2017, Gurgaon, India, October 13-14, 2017, Revised Selected Papers. Singapore: Springer, 2018.
[23]
P. Musilek, W. Pedrycz, N. Sun, and G. Succi, “On the sensitivity of COCOMO II software cost estimation model,” Proceedings Eighth IEEE Symposium on Software Metrics, 2002.
[24]
R. Sarno, J. Sidabutar, and Sarwosri, “Comparison of different Neural Network architectures for software cost estimation,” 2015 International Conference on Computer, Control, Informatics and its Applications (IC3INA), 2015.
[25]
LEGAL PRODUCT DETAILS. [Online]. Available: https://jdih.jakarta.go.id/uploads/default/produkhukum/ No_16_Tahun_2018.pdf. [Accessed: 25-Jan-2019].
[26]
“Exchange Rate Information,” BANK INDONESIA TRANSACTION EXCHANGE RATE. [Online]. Available: https://www.bi.go.id/id/moneter/informasi-kurs/transaksi-bi/Default.aspx. [Accessed: 25-Jan-2019].
Index Terms
- Measurement of Web-Based Merchant Application Portal (MAP) Using Function Point Analysis and Constructive Cost Model II
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Published: 27 November 2022
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APCORISE 2021
APCORISE 2021: 4th Asia Pacific Conference on Research in Industrial and Systems Engineering 2021
May 25, 2021
Depok, Indonesia
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