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Crowdsourcing - Cloud-Based Software Development (Hardcover, 2015 ed.): Wei Li, Michael N. Huhns, Wei-Tek Tsai, Wen Jun Wu Crowdsourcing - Cloud-Based Software Development (Hardcover, 2015 ed.)
Wei Li, Michael N. Huhns, Wei-Tek Tsai, Wen Jun Wu
R3,666 Discovery Miles 36 660 Ships in 12 - 19 working days

This book presents the latest research on the software crowdsourcing approach to develop large and complex software in a cloud-based platform. It develops the fundamental principles, management organization and processes, and a cloud-based infrastructure to support this new software development approach. The book examines a variety of issues in software crowdsourcing processes, including software quality, costs, diversity of solutions, and the competitive nature of crowdsourcing processes. Furthermore, the book outlines a research roadmap of this emerging field, including all the key technology and management issues for the foreseeable future. Crowdsourcing, as demonstrated by Wikipedia and Facebook for online web applications, has shown promising results for a variety of applications, including healthcare, business, gold mining exploration, education, and software development. Software crowdsourcing is emerging as a promising solution to designing, developing and maintaining software. Preliminary software crowdsourcing practices and platforms, including Apple's App Store and TopCoder, demonstrate the advantages of crowdsourcing in terms of software ecosystem expansion and product quality improvement.

Crowdsourcing - Cloud-Based Software Development (Paperback, Softcover reprint of the original 1st ed. 2015): Wei Li, Michael... Crowdsourcing - Cloud-Based Software Development (Paperback, Softcover reprint of the original 1st ed. 2015)
Wei Li, Michael N. Huhns, Wei-Tek Tsai, Wen Jun Wu
R3,824 Discovery Miles 38 240 Ships in 10 - 15 working days

This book presents the latest research on the software crowdsourcing approach to develop large and complex software in a cloud-based platform. It develops the fundamental principles, management organization and processes, and a cloud-based infrastructure to support this new software development approach. The book examines a variety of issues in software crowdsourcing processes, including software quality, costs, diversity of solutions, and the competitive nature of crowdsourcing processes. Furthermore, the book outlines a research roadmap of this emerging field, including all the key technology and management issues for the foreseeable future. Crowdsourcing, as demonstrated by Wikipedia and Facebook for online web applications, has shown promising results for a variety of applications, including healthcare, business, gold mining exploration, education, and software development. Software crowdsourcing is emerging as a promising solution to designing, developing and maintaining software. Preliminary software crowdsourcing practices and platforms, including Apple's App Store and TopCoder, demonstrate the advantages of crowdsourcing in terms of software ecosystem expansion and product quality improvement.

Combinatorial Testing in Cloud Computing (Paperback, 1st ed. 2017): Wei-Tek Tsai, Guanqiu Qi Combinatorial Testing in Cloud Computing (Paperback, 1st ed. 2017)
Wei-Tek Tsai, Guanqiu Qi
R1,966 Discovery Miles 19 660 Ships in 10 - 15 working days

This book introduces readers to an advanced combinatorial testing approach and its application in the cloud environment. Based on test algebra and fault location analysis, the proposed combinatorial testing method can support experiments with 250 components (with 2 * (250) combinations), and can detect the fault location based on the testing results. This function can efficiently decrease the size of candidate testing sets and therefore increase testing efficiency. The proposed solution's effectiveness in the cloud environment is demonstrated using a range of experiments.

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