In this paper a framework for app store optimization is proposed. The framework is based on two main areas: developer dependent elements and user dependent elements. Developer dependent elements are similar to factors in search engine optimization. User dependent elements are similar to activities in social media. The proposed framework is modelled after downloading sample data from two leading app stores: Google Play and Apple iTunes. Results show that developer dependent elements can be better optimized. Names and descriptions of mobile apps are not fully utilized.

翻译：本文中提议了一个应用程序存储优化框架。 框架基于两个主要领域: 开发者依赖元素和用户依赖元素。 开发者依赖元素与搜索引擎优化中的因素相似。 用户依赖元素与社交媒体中的活动相似。 拟议框架是在下载两个主要应用程序商店( Google Play 和 Apple iTunes)的样本数据后建模的。 结果显示,开发者依赖元素可以更好地优化。 移动应用程序的名称和描述没有得到充分利用 。