COCOMO Method for Planning Human Resources in Software Development
DOI:
https://doi.org/10.33032/acr.4425Kulcsszavak:
function point, COCOMO, effort estimationAbsztrakt
Over the past decades, software development has been a priority project for business leaders. Compared to the production or purchase of a productive asset, IT development could be carried out at a lower cost, and controlling always found a hidden reserve that could be used for this purpose.
But this process is in transition at the beginning of the 21st century. IT projects should be examined early in the development phase to determine the functional size of a software application and to determine the business value and expenditure that the application represents for a particular segment of the business. However, process analysis and productivity and cost analysis of these developments are more challenging than average for business analysts.
Enterprise information systems are evolving very rapidly, and their user base is growing. These applications handle so much data and are so complex that it is difficult for the average user to understand how they work. New coding tools are now enabling software developers to meet growing and increasingly complex customer needs more efficiently and quickly. A comprehensible, comparable, and clear method for interpreting, estimating, and verifying projects is needed.
Hivatkozások
Albrecht, A. J. (1979): Measuring application development productivity. Proceedings of IBM Applications Development Symposium, 83–91.
Alkoffash, M. – Alrabea, A. (2004): Board characteristics, accounting report integrity, and the cost of debt. Journal of Computer Science, 4(7), 606–612. https://doi.org/10.3844/jcssp.2008.606.612
Balaji, N. – Shivakumar, N. – Vignaraj, V.A. (2013): Software Cost Estimation using Function Point with Non-Algorithmic Approach. Global Journal of Computer Science and Technology Software & Data Engineering, 13(8), Version 1.0. https://globaljournals.org/item/2038-software-cost-estimation-using-function-point-with-non-algorithmic-approach
Boehm, B. – Madachy, R. – Yang, Y. (2004): A software product line life cycle cost estimation model. Proceedings. 2004 International Symposium on Empirical Software Engineering. https://doi.org/10.1109/ISESE.2004.1334903
Choetkiertikul, M. – Dam, H.H. – Tran, T. – Menzies T. (2016): A deep learning model for estimating story points. IEEE Transactions on Software Engineering, 99. https://doi.org/10.1109/TSE.2018.2792473
Krasner, H. (2022): The Cost of Poor Software Quality in the US: A 2022 Report. Consortium for information & Software Quality (CISQ), 59–61. https://www.it-cisq.org/wp-content/uploads/sites/6/2022/11/CPSQ-Report-Nov-22-2.pdf
Longstreet, D. (2005): Fundamentals of Function Point Analysis. Total Metrics, Software Development Magazine. http://jodypaul.net/SWE/FunctionPointAnalysisFundamentals.pdf
Nátz, K. – Orosz, G.T. (2018): Function point analysis by an SAP application. in AIS 2018: 13th International Symposium on Applied Informatics and Related Areas, 81–85. http://ais.amk.uni-obuda.hu/proceedings/2018/AIS2018_Abstract_Book.pdf
Nátz, K. – Orosz G.T. – Szalay, Zs.G. (2020): Methods of functional measurement of software. in AIS 2020: 15th International Symposium on Applied Informatics and Related Areas, 112–116. http://ais.amk.uni-obuda.hu/proceedings/2020/AIS2020_Proceedings.pdf
Pönsgen, B. (2012): Function-Point Analyse. Ein Praxishandbuch. 2nd edn. Dpunkt.verlag, Heidelberg.
Letöltések
Megjelent
Folyóirat szám
Rovat
License
Copyright (c) 2023 Katalin Nátz, Szergej Vinovgradov , Zsigmond Gábor Szalay
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
