Buch, Englisch, 251 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 411 g
ISBN: 978-981-16-9645-9
Verlag: Springer Nature Singapore
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 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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part 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.