Language Extended Lexicon points: Estimating the size of an application using its language

L. Antonelli, G. Rossi, Julio Cesar Sampaio do Prado Leite, Alejandro Oliveros
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引用次数: 3

Abstract

Estimating the size of a software system is a critical task due to the implications the estimation has in the management of the development project. There are some widely accepted estimation techniques: Function Points, Use Case Points and Cosmic Points, but these techniques can only be applied after the availability of a requirements specification. In this paper, we propose an approach to estimate the size of an application previous to its requirements specification by using the application language itself, captured by the Language Extended Lexicon (LEL). Our approach is based on Use Case Points and on a technique which derives Use Cases from the LEL. The proposed approach provides a measure of the application's size earlier than the usual techniques, thus reducing the effort needed to apply them. An initial experiment was conducted to evaluate the proposal.
语言扩展词典点:估计使用其语言的应用程序的大小
由于估算在开发项目的管理中具有隐含意义,因此估算软件系统的大小是一项关键任务。有一些被广泛接受的评估技术:功能点、用例点和宇宙点,但是这些技术只能在需求规范的可用性之后应用。在本文中,我们提出了一种方法,通过使用由语言扩展词典(language Extended Lexicon, LEL)捕获的应用程序语言本身,在其需求规范之前估计应用程序的大小。我们的方法是基于用例点和从LEL派生用例的技术。所建议的方法比通常的技术更早地提供了应用程序大小的度量,从而减少了应用它们所需的工作量。为了评估这一建议,进行了初步实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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