{"title":"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","authors":"José A Macías , Clemente R. Borges","doi":"10.1016/j.scico.2023.103077","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":49561,"journal":{"name":"Science of Computer Programming","volume":"234 ","pages":"Article 103077"},"PeriodicalIF":1.5000,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0167642323001594/pdfft?md5=c15510fac177d5c1b3ed8447ec91395f&pid=1-s2.0-S0167642323001594-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Monitoring and forecasting usability indicators: A business intelligence approach for leveraging user-centered evaluation data\",\"authors\":\"José A Macías , Clemente R. Borges\",\"doi\":\"10.1016/j.scico.2023.103077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":49561,\"journal\":{\"name\":\"Science of Computer Programming\",\"volume\":\"234 \",\"pages\":\"Article 103077\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0167642323001594/pdfft?md5=c15510fac177d5c1b3ed8447ec91395f&pid=1-s2.0-S0167642323001594-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of Computer Programming\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167642323001594\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of Computer Programming","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167642323001594","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
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.
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.