Explores and identifies the main issues, concepts, principles and evolution of software testing, including software quality engineering and testing concepts, test data generation, test deployment analysis, and software test management
This book examines the principles, concepts, and processes that are fundamental to the software testing function. This book is divided into five broad parts. Part I introduces software testing in the broader context of software engineering and explores the qualities that testing aims to achieve or ascertain, as well as the lifecycle of software testing. Part II covers mathematical foundations of software testing, which include software specification, program correctness and verification, concepts of software dependability, and a software testing taxonomy. Part III discusses test data generation, specifically, functional criteria and structural criteria. Test oracle design, test driver design, and test outcome analysis is covered in Part IV. Finally, Part V surveys managerial aspects of software testing, including software metrics, software testing tools, and software product line testing.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
ALI MILI is Professor at New Jersey Institute of Technology, USA. His research is focused on software engineering, including technical and organizational aspects, and on software engineering education.
FAIROUZ TCHIER is Associate Professor at King Saud University, Saudi Arabia. Her main areas of research are discrete mathematics, theoretical computer science, software engineering, and fuzzy theory.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Explores and identifies the main issues, concepts, principles and evolution of software testing, including software quality engineering and testing concepts, test data generation, test deployment analysis, and software test management. This book introduces software testing in the broader context of software engineering and more. Series: Quantitative Software Engineering Series. Num Pages: 368 pages, illustrations. BIC Classification: UMZ. Category: (P) Professional & Vocational. Dimension: 243 x 163 x 26. Weight in Grams: 676. . 2015. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9781118662878
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