Abstract Size is a major and main parameter for the estimation of efforts and cost of software applications in general and mobile applications in particular and estimating effort, cost and time has been a key step in the life cycle of the software project. In order to create a sound schedule for the project, it is therefore important to have these estimates as soon as possible in the software development life cycle. In past years, many methods have been employed to estimate size and efforts of mobile applications but till now these methods do not meet the expected needs from customer. In this paper, we present a new size measurement method i.e., Mobile COSMIC Function Points (MCFP) based on the COSMIC approach, which is a primary factor for estimation of efforts in mobile application development. This paper analyzes the possibility of using a combination of Functional and Non-functional parameters including both Mobile Technical Complexity Factors (MTCF) and Mobile Environmental Complexity Factors (MECF) for the purpose of mobile application sizing prediction and hence effort estimation. For the purpose of this study, thirty six mobile applications were analyzed and their size and efforts were compared by applying the new effort estimation approach. In this context of a mobile application, few investigations have been performed to compare the effectiveness of COSMIC, FP's and the proposed approach “COSMIC Plus Effort Estimation Model (CPEEM)”. The main goal of this paper is to investigate if the inclusion of Non functional parameters imposes an effect on the functional size of mobile application development. Upon estimating efforts using the proposed approach, the results were promising for mobile applications when compared the results of our approach with the results of the other two approaches

中文翻译：

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包含用于预测移动应用程序整体工作的功能和非功能参数。

摘要 规模是估计一般软件应用程序和特别是移动应用程序的工作量和成本的主要和主要参数，估计工作量、成本和时间是软件项目生命周期中的关键步骤。为了为项目制定合理的时间表，因此在软件开发生命周期中尽快进行这些估算非常重要。在过去的几年里，已经采用了许多方法来估计移动应用程序的大小和工作量，但直到现在这些方法都不能满足客户的预期需求。在本文中，我们提出了一种新的规模测量方法，即基于 COSMIC 方法的移动 COSMIC 功能点 (MCFP)，这是估计移动应用程序开发工作量的主要因素。本文分析了使用功能和非功能参数组合的可能性，包括移动技术复杂性因素 (MTCF) 和移动环境复杂性因素 (MECF)，用于移动应用程序大小预测和工作量估计。出于本研究的目的，我们分析了 36 个移动应用程序，并通过应用新的工作量估算方法比较了它们的规模和工作量。在移动应用程序的这种背景下，很少有研究比较 COSMIC、FP 和建议的方法“COSMIC 加努力估计模型 (CPEEM)”的有效性。本文的主要目标是研究包含非功能参数是否会对移动应用程序开发的功能大小产生影响。