Cantitate/Preț
Produs

Requirements Engineering: Foundation for Software Quality: Lecture Notes in Computer Science, cartea 10153

Editat de Paul Grünbacher, Anna Perini
en Limba Engleză Paperback – 21 feb 2017
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.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 32727 lei

Preț vechi: 40909 lei
-20%

Puncte Express: 491

Carte tipărită la comandă

Livrare economică 11-25 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9783319540443
ISBN-10: 3319540440
Pagini: 400
Ilustrații: XIX, 380 p. 88 illus.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.6 kg
Ediția:1st edition 2017
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.