监测和预测可用性指标:利用以用户为中心的评估数据的商业智能方法

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Science of Computer Programming Pub Date : 2023-12-30 DOI:10.1016/j.scico.2023.103077
José A Macías , Clemente R. Borges
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引用次数: 0

摘要

监控绩效指标已成为当今大多数组织机构的主要关注点。尽管人们对开发经济、生物信息学、健康和社交媒体仪表盘给予了很大关注,但对可用性指标的监测和预测却很少或根本没有关注。这对于分析已设计或刚开发的交互式软件产品的感知满意度和可用性很有意义,同时也可作为以人为本的组织的一般战略指标。本文介绍了一种方法,包括主要衡量指标、关键绩效指标、趋势和预测,用于处理随时间变化的可用性信息,并在历史数据的基础上产生新的知识。此外,还实施了一个实例,包括从实际软件评估中获得的数据。目标用户对该方法进行了评估,以验证其适用性,并获得了成功的可用性结果,证明了所介绍方法的充分性。
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Monitoring and forecasting usability indicators: A business intelligence approach for leveraging user-centered evaluation data

Monitoring performance indicators has become a main concern for most organizations today. While much attention has been paid to developing economic, bioinformatics, health, and social media dashboards, little or no attention has been devoted to monitoring and forecasting usability indicators. This can be of interest for analyzing the degree of perceived satisfaction and usability of interactive software products designed or just developed, being also useful as general strategic indicators in human-centered organizations. This paper presents an approach including main measures, Key Performance Indicators, trends, and forecasts to deal with usability information over time and produce new knowledge based on historical data. Also, an instance has been implemented, including data obtained from real software evaluations. Target users have evaluated the approach to validate its suitability, obtaining successful usability results that denote the adequacy of the approach presented.

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来源期刊
Science of Computer Programming
Science of Computer Programming 工程技术-计算机:软件工程
CiteScore
3.80
自引率
0.00%
发文量
76
审稿时长
67 days
期刊介绍: Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.
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