No abstract

A consistent cross-browser user experience is crucial for the success of a website. Layout Cross Browser Issues (XBIs) can severely undermine a website's success by causing web pages to render incorrectly in certain browsers, thereby negatively impacting users' impression of the quality and services that the web page delivers. Existing Cross Browser Testing (XBT) techniques can only detect XBIs in websites. Repairing them is, hitherto, a manual task that is labor intensive and requires signi cant expertise. Addressing this concern, our paper proposes a technique for automatically repairing layout XBIs in websites using guided search-based techniques. Our empirical evaluation showed that our approach was able to successfully x 86% of layout XBIs reported for 15 di erent web pages studied, thereby improving their cross-browser consistency. CCS CONCEPTS•So ware and its engineering →So ware testing and debugging; Search-based so ware engineering; KEYWORDSCross-browser issues; automated search-based repair; web apps. ACM Reference format:

This is a repository copy of Automated repair of internationalization presentation failures in web pages using style similarity clustering and search-based techniques.

Di erences in the rendering of a website across di erent browsers can cause inconsistencies in its appearance and usability, resulting in Layout Cross Browser Issues (XBIs). Such XBIs can negatively impact the functionality of a website as well as users' impressions of its trustworthiness and reliability. Existing techniques can only detect XBIs, and therefore require developers to manually perform the labor intensive task of repair. In this demo paper we introduce our tool, XF , that automatically repairs layout XBIs in web applications. To the best of our knowledge, XF is the rst automated technique for generating XBI repairs. CCS CONCEPTS•So ware and its engineering →So ware testing and debugging; Search-based so ware engineering; KEYWORDS Cross-browser issues; automated search-based repair; web apps. ACM Reference format:

The COVID-19 pandemic has caused many countries around the globe to put strict policies and measures in place in an attempt to control the rapid spread of the virus. These measures have affected economic activities and have impacted a broad range of businesses, such as international traveling, restaurants, and shopping malls. As COVID-19 vaccination efforts progress, countries are starting to relax international travel constraints and permit passengers from certain destinations to cross the border. Moreover, travelers from those destinations are likely required to provide certificates of vaccination results or negative COVID-19 tests before crossing the borders. Implementing these travel guidelines requires sharing information between countries, such as the number of COVID-19 cases and vaccination certificates for travelers. In this paper, we introduce SPIN, a framework leveraging a permissioned blockchain for sharing COVID-19 information between countries. This includes public data, such as the number of vaccinated people, and private data, such as vaccination certificates for individuals. Additionally, we employ cancelable fingerprint templates to authenticate private information about travelers. We analyze the framework from scalability, efficiency, security, and privacy perspectives. To validate our framework, we provide a prototype implementation using the Hyperledger Fabric platform.