TY - BOOK AU - Grünbacher,Paul AU - Perini,Anna ED - SpringerLink (Online service) TI - Requirements Engineering: Foundation for Software Quality: 23rd International Working Conference, REFSQ 2017, Essen, Germany, February 27 – March 2, 2017, Proceedings T2 - Programming and Software Engineering SN - 9783319540450 AV - QA76.758 U1 - 005.1 23 PY - 2017/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Software engineering KW - Computers KW - Management information systems KW - Computer science KW - Application software KW - Computer logic KW - Information storage and retrieval KW - Software Engineering KW - The Computing Profession KW - Management of Computing and Information Systems KW - Information Systems Applications (incl. Internet) KW - Logics and Meanings of Programs KW - Information Storage and Retrieval N1 - Use case models -- Ecosystems and innovation -- Human factors in requirements engineering -- Goal-orientation in requirements engineering -- Communication and collaboration.-Process and tool integration -- Visualization and representation of requirements -- Agile requirements engineering -- Natural language processing, information retrieval and machine learning -- Traceability -- Quality of natural language requirements.-Research methodology in requirements engineering; Available to subscribing member institutions only. Доступно лише організаціям членам підписки N2 - This book constitutes the proceedings of the 23rd International Working Conference on Requirements Engineering - Foundation for Software Quality, REFSQ 2017, held in Essen, Germany, in February/March 2017. The 16 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 77 submissions. The papers were organized in topical sections named: use case models; ecosystems and innovation; human factors in requirements engineering; goal-orientation in requirements engineering; communication and collaboration; process and tool integration; visualization and representation of requirements; agile requirements engineering; natural language processing, information retrieval and machine learning traceability; quality of natural language requirements; research methodology in requirements engineering UR - https://doi.org/10.1007/978-3-319-54045-0 ER -