Towards a measurement framework for tools' ceiling and threshold

Rui Alves, Cláudio Teixeira, Monica Nascimento, Amanda Marinho, N. Nunes
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引用次数: 1

Abstract

Software development tools are not catching up with the requirements of increasingly complex interactive software products and services. Successful tools are claimed to either be low-threshold/low-ceiling or high-threshold/high-ceiling, however no research to date addressed how to define and measure these concepts. This is increasingly important as these tools undergo an evaluation and adoption process by end-users. Here we hypothesized that the evaluation and adoption of tools is associated with the threshold (learnability). To assess this we conducted a learnability and usability study using three commercial Platform-as-a-Service tools. In this study we used an augmented think-aloud protocol with question asking where ten subjects were asked to create a simple web application. Our data shows that most learnability issues fall into two categories: understanding or locating. No evidence was found that usability defects correlate with the tools learnability score. Though we found an inverse correlation between the amount of issues and the learnability score.
建立工具上限和阈值的度量框架
软件开发工具无法满足日益复杂的交互式软件产品和服务的需求。成功的工具要么是低门槛/低上限,要么是高门槛/高上限,然而迄今为止还没有研究解决如何定义和衡量这些概念。随着这些工具经过最终用户的评估和采用过程,这一点变得越来越重要。在这里,我们假设工具的评估和采用与阈值(可学习性)有关。为了评估这一点,我们使用三个商业平台即服务工具进行了易学性和可用性研究。在这项研究中,我们使用了一种带有提问的增强有声思考协议,要求10名受试者创建一个简单的web应用程序。我们的数据显示,大多数可学习性问题分为两类:理解或定位。没有证据表明可用性缺陷与工具的可学习性分数相关。尽管我们发现问题的数量和易学性得分呈负相关。
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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