也许我们应该启用更多不确定的移动应用程序编程

Geoffrey Challen, J. Ajay, Nick DiRienzo, Oliver Kennedy, Anudipa Maiti, Anandatirtha Nandugudi, S. Shantharam, Jinghao Shi, Guru Prasad Srinivasa, Lukasz Ziarek
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引用次数: 4

摘要

对移动系统编程如此困难的原因之一是,典型的应用程序在运行时会遇到各种各样的环境。因此,在许多情况下,只有部署后的用户测试才能决定使用正确的算法,事情应该发生的速度,或者应用程序应该尝试节省能源。程序员不应该在开发时被迫做出这些选择。不幸的是,语言没有给程序员留下表达和构建关于运行时条件的不确定性的方法,迫使他们采用无效或脆弱的临时解决方案。我们通过一个新的语言结构:maybe语句,引入了一种基于结构化不确定性的新方法。也许语句允许程序员推迟在开发时无法做出的应用行为选择,同时提供足够的结构,允许系统以后自适应地从多个备选方案中进行选择。消除maybe语句引入的不确定性可以通过多种方式完成:通过模拟、分离测试、用户配置、时间适应或机器学习技术,这取决于适合每种情况的适应类型。本文提出了maybe语句,给出了它的语法,并描述了一个完整的系统来测试和选择maybe选项。
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maybe We Should Enable More Uncertain Mobile App Programming
One of the reasons programming mobile systems is so hard is the wide variety of environments a typical app encounters at runtime. As a result, in many cases only post-deployment user testing can determine the right algorithm to use, the rate at which something should happen, or when an app should attempt to conserve energy. Programmers should not be forced to make these choices at development time. Unfortunately, languages leave no way for programmers to express and structure uncertainty about runtime conditions, forcing them to adopt ineffective or fragile ad-hoc solutions. We introduce a new approach based on structured uncertainty through a new language construct: the maybe statement. maybe statements allow programmers to defer choices about app behavior that cannot be made at development time, while providing enough structure to allow a system to later adaptively choose from multiple alternatives. Eliminating the uncertainty introduced by maybe statements can be done in a large variety of ways: through simulation, split testing, user configuration, temporal adaptation, or machine learning techniques, depending on the type of adaptation appropriate for each situation. Our paper motivates the maybe statement, presents its syntax, and describes a complete system for testing and choosing from maybe alternatives.
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