Identifying software development IOT effort in human and machine using global wavelet method
1 Associate Professor, Department of CSE, Solamalai College of Engineering, Madurai, Tamilnadu, India.
2 Associate Professor, Department of Mechanical Engineering, Solamalai College of Engineering, Madurai, Tamilnadu, India.
Research Article
Global Journal of Engineering and Technology Advances, 2023, 14(03), 019–024.
Article DOI: 10.30574/gjeta.2023.14.3.0040
Publication history:
Received on 12 January 2023; revised on 02 March 2023; accepted on 05 March 2023
Abstract:
Estimating effort involves figuring out how many personnel are involved in various company operations and how long it will take to complete an IOT in Machines and software development project. This estimate is crucial in order to understand how much the relevant value of the software generated. The Global Wavelet Method is a frequent technique used to determine the projected effort. The GVM approach, which Tokey[15] only relies on data from three software development projects, is the subject of this study's review. However, most academics have continued to use the proposed Estimate Rate (ER) using Tokey's value without challenging its applicability. The estimated effort calculated using the GVM approach by multiplying the GVM Value by the ER. ER Value was 40 hours for people and 90 hours for machines. The ER Value, the end outcome of this study, is equal to 6.2. This amount is considerably less than Tokey's ER Value. This is possible for a number of reasons, including the existence of software engineering methodologies, more sophisticated software engineering technology, software that is composed of individual components, and lastly the availability of source code on the internet.
Keywords:
Effort Rate; Human Hours; Machine Hours; Global Wavelet Method; Use Case Weight; Technical Complexity Factor
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0