| 书目名称 | Intelligent Crowdsourced Testing | | 编辑 | Qing Wang,Zhenyu Chen,Yang Feng | | 视频video | | | 概述 | Equips readers to engage in crowdsourced testing and makes crowdsourced testing practice more cost-effective.Broadens readers’ understanding of how to conduct intelligent crowdsourced testing.Shares a | | 图书封面 |  | | 描述 | In an article for Wired Magazine in 2006, Jeff Howe defined crowdsourcing as an idea for outsourcing a task that is traditionally performed by a single employee to a large group of people in the form of an open call. Since then, by modifying crowdsourcing into different forms, some of the most successful new companies on the market have used this idea to make people’s lives easier and better. On the other hand, software testing has long been recognized as a time-consuming and expensive activity. Mobile application testing is especially difficult, largely due to compatibility issues: a mobile application must work on devices with different operating systems (e.g. iOS, Android), manufacturers (e.g. Huawei, Samsung) and keypad types (e.g. virtual keypad, hard keypad). One cannot be 100% sure that, just because a tested application works well on one device, it will run smoothly on all others..Crowdsourced testing is an emerging paradigm that can improve the cost-effectiveness of softwaretesting and accelerate the process, especially for mobile applications. It entrusts testing tasks to online crowdworkers whose diverse testing devices/contexts, experience, and skill sets can significan | | 出版日期 | Book 2022 | | 关键词 | Software testing; Crowdsourcing; Crowdsourced testing; Intelligent software engineering; Intelligent tes | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-9643-5 | | isbn_softcover | 978-981-16-9645-9 | | isbn_ebook | 978-981-16-9643-5 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
The information of publication is updating
|
|
发表于 2025-3-21 19:26:25
