000			04482nam a22004575i 4500
988			_aSpringer_Computer_2022
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008			220616s2022 si a s |||| 0|eng d
020			_a9789811696435
024	7		_a10.1007/978-981-16-9643-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.76.T48 _b2022 EB
100	1		_aWang, Qing _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684926
245	1	0	_aIntelligent Crowdsourced Testing _cby Qing Wang, Zhenyu Chen, Junjie Wang, Yang Feng
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer International Publising _c2022
300			_a1 recurso en línea (XIV, 251 páginas) _b1 ilustración
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aPart I. Preliminary of Crowdsourced Testing -- 1. Introduction -- 2. Preliminaries -- 3. Book Structure -- Part II. Supporting Technology for Crowdsourced Testing Workers -- 4. Characterization of Crowd Worker -- 5. Task Recommendation for Crowd Worker -- Part III. Supporting Technology for Crowdsourced Testing Tasks -- 6. Crowd Worker Recommendation for Testing Task -- 7. Crowdsourced Testing Task Management -- Part IV. Supporting Technology for Crowdsourced Testing Results -- 8. Classification of Crowdsourced Testing Reports -- 9. Duplicate Detection of Crowdsourced Testing Reports -- 10. Prioritization of Crowdsourced Testing Reports -- 11. Summarization of Crowdsourced Testing Reports -- 12. Quality Assessment of Crowdsourced Testing Cases -- Part V. Conclusions and Future Perspectives -- 13. Conclusions -- 14. Perspectives.
520			_aIn 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 software testing 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 significantly contribute to more reliable, cost-effective and efficient testing results. It has already been adopted by many software organizations, including Google, Facebook, Amazon and Microsoft. This book provides an intelligent overview of crowdsourced testing research and practice. It employs machine learning, data mining, and deep learning techniques to process the data generated during the crowdsourced testing process, to facilitate the management of crowdsourced testing, and to improve the quality of crowdsourced testing.
650		7	_2embne _9143838 _aSoftware _xEvaluación
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aChen, Zhenyu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684927
700	1		_aWang, Junjie _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684928
700	1		_aFeng, Yang, _d1987- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684929
776	0	8	_iPrinted edition: _z9789811696428
776	0	8	_iPrinted edition: _z9789811696442
776	0	8	_iPrinted edition: _z9789811696459
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9643-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _esc _zSI