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ThinkMind // IARIA Congress 2022, The 2022 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article iaria_congress_2022_1_50_50058
Using Locally Weighted Regression to Estimate the Functional Size of Software: a Preliminary Study
 Authors:
Luigi Lavazza
Angela Locoro
Roberto Meli Keywords: Function Point Analysis; Early Size Estimation; High-level FPA; Simple Function Points; LOESS (locally estimated scatterplot smoothing) Abstract:
In software engineering, measuring software functional size via the IFPUG Function Point Analysis using the standard manual process can be a long and expensive activity. To solve this problem, several early estimation methods have been proposed and have become de facto standard processes. Among these, a prominent one is High-level Function Point Analysis. Recently, the Simple Function Point method has been released by IFPUG; although it is a proper measurement method, it has a great level of convertibility to traditional Function Points and may be used as an estimation method. Both High-level Function Point Analysis and Simple Function Point skip the difficult and time-consuming activities needed to weight data and transaction functions. This makes the process faster and cheaper, but yields approximate measures. The accuracy of the mentioned method has been evaluated, also via large-scale empirical studies, showing that the yielded approximate measures are sufficiently accurate for practical usage. In this paper, locally weighted regression is applied to the problem outlined above. This empirical study shows that estimates obtained via locally weighted regression are more accurate than those obtained via High-level Function Point Analysis, but are not substantially better than those yielded by alternative estimation methods using linear regression. The Simple Function Point method appears to yield measures that are well correlated with those obtained via standard measurement. In conclusion, locally weighted regression appears to be effective and accurate enough for estimating software functional size. Pages: 20 to 24 Copyright: Copyright (c) IARIA, 2022 Publication date: July 24, 2022 Published in: conference ISBN: 978-1-68558-017-9 Location: Nice, France Dates: from July 24, 2022 to July 28, 2022
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