Cantitate/Preț
Produs
Total produse
Vezi coșul
Requirements Engineering: Foundation for Software Quality: 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings de Vincenzo Gervasi

Requirements Engineering: Foundation for Software Quality: 28th International Working Conference, REFSQ 2022, Birmingham, UK, March 21–24, 2022, Proceedings: Lecture Notes in Computer Science, cartea 13216

Editat de Vincenzo Gervasi, Andreas Vogelsang
en Limba Engleză Paperback – 9 mar 2022
This book constitutes the refereed proceedings of the 28th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2022, which was held in Aston, Birmingham, UK, during March 21-24, 2022. 

The 12 full and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: Artificial intelligence and explainability; machine learning; natural language processing; user stories; business, markets, and industrial practice; and cognition and expression. The special theme for REFSQ 2022 was "Explainability in Requirements Engineering". 
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 36005 lei

Preț vechi: 45006 lei
-20% Nou

Puncte Express: 540
Preț estimativ în valută:
6890€ • 7185$ • 5727£

Carte tipărită la comandă

Livrare economică 20 martie-03 aprilie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030984632
ISBN-10: 303098463X
Pagini: 259
Ilustrații: XVII, 259 p. 51 illus., 36 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.4 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Artificial Intelligence and Explainability.- Transparency and Explainability of AI Systems: Ethical Guidelines in Practice.- Requirements Engineering for Artificial Intelligence: What is a Requirements Specification for an Artificial Intelligence.- Quo Vadis, Explainability? - A Research Roadmap for Explainability Engineering.- Machine Learning.- How Effective Is Automated Trace Link Recovery in Model-Driven Development.- A Zero-Shot Learning Approach to Classifying Requirements: Preliminary Study.- Natural Language Processing.- Abbreviation-Expansion Pair Detection for Glossary Term Extraction.- Towards Explainable Formal Methods: from LTL to Natural Language with Neural Machine Translation.- Req2Spec: Transforming Software Requirements into Formal Specifications using Natural Language Processing.- FRETting About Requirements.- User Stories.- Invest in Splitting: User Story Splitting within the Software Industry.- Guided Derivation of Conceptual Models from User Stories: A Controlled Experiment.- From User Stories to Data Flow Diagram for Privacy Awareness.- Business, Markets, and Industrial Practice.- Requirements Engineering in the Market Dialogue Phase of Public Procurement: A Case Study of an Innovation Partnership for Medical Technology.- A Business Model Construction Kit for Platform Business Models - Research Preview.- On Testing Security Requirements in Industry? -- A Survey Study.- Setting AI in context: A case study on defining the context and operational design domain for automated driving.- Cognition and Expression.- Requirements Engineering for Software-Enabled Art: Challenges and Guidelines.- A Study on the Mental Models of Users Concerning Existing Software.- Vision Video Making with Novices: A Research Preview.