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Requirements Engineering: Foundation for Software Quality: 24th International Working Conference, REFSQ 2018, Utrecht, The Netherlands, March 19-22, 2018, Proceedings 1st ed. 2018 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 369 pages, height x width: 235x155 mm, weight: 593 g, 66 Illustrations, black and white; XVII, 369 p. 66 illus., 1 Paperback / softback
  • Sērija : Programming and Software Engineering 10753
  • Izdošanas datums: 01-Mar-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319772422
  • ISBN-13: 9783319772424
  • Mīkstie vāki
  • Cena: 46,91 €*
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  • Formāts: Paperback / softback, 369 pages, height x width: 235x155 mm, weight: 593 g, 66 Illustrations, black and white; XVII, 369 p. 66 illus., 1 Paperback / softback
  • Sērija : Programming and Software Engineering 10753
  • Izdošanas datums: 01-Mar-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319772422
  • ISBN-13: 9783319772424
This book constitutes the proceedings of the 24th International Working Conference on Requirements Engineering - Foundation for Software Quality, REFSQ 2018, held in Utrecht, The Netherlands, in March 2018.The 23 full and 2 invited talks papers presented in this volume were carefully reviewed and selected from 57 submissions.

This book constitutes the proceedings of the 24th International Working Conference on Requirements Engineering - Foundation for Software Quality, REFSQ 2018, held in Utrecht, The Netherlands, in March 2018.

The 23 full and 2 invited talks papers presented in this volume were carefully reviewed and selected from 57 submissions. The papers were organized in topical sections named: RE in Industrial Practice; NLP in Theory and Practice; Empirical Insights into Traceability; Taming Ambiguity; Large-Scale RE; Quality Requirements; User and Job Stories; Requirements Alignment; RE Previews and Visions; Big Data; Mindmapping and Requirements Modeling.

RE in Industrial Practice.- NLP in Theory and Practice.- Empirical Insights into Traceability.- Taming Ambiguity.- Large-Scale RE.- Quality Requirements.- User and Job Stories.- Requirements Alignment.- RE Previews and Visions.- Big Data.- Mindmapping and Requirements Modeling.