Dynamic Decision Support for Electronic Requirements Negotiations

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ISBN: 3658311746
ISBN 13: 9783658311742
Autor: Lenz, Annika
Verlag: Springer Gabler
Umfang: xvii, 123 S., 21 s/w Illustr., 123 p. 21 illus.
Erscheinungsdatum: 17.07.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: KT

Annika Lenz develops an interactive preference measurement method, which provides dynamic preference adjustment, to assess alternatives in terms of utility for an individual decision maker throughout the requirements negotiation process. Consequently, interactive dynamic decision support is designed, which can handle changes related to requirements dynamically. An empirical study shows that the newly developed method is both objectively and subjectively more efficient than a static alternative. Thus, it is argued that efficient preference adjustment enables decision support based on up-to-date preferences. The designed support component is compared to two state-of-the-art approaches for decision support in requirements negotiations. Contents Decision Problems in Requirements Negotiations Assessment of MultiCriteria Preference Measurement Methods for a Dynamic Environment DynASE A Method for Dynamic Preference Adjustment in Electronic Negotiations Designing Dynamic Decision Support for Electronic Requirements Negotiations Target Groups – Scientists and students in the field of business information systems Practitioners working in the area of requirements engineering About the Author Annika Lenz was a research assistant at the Information Systems Department 1 – Organisational Communication at the University of Hohenheim, Germany, and is currently working in the field of digital transformation.

Artikelnummer: 9542841 Kategorie:

Beschreibung

Annika Lenz develops an interactive preference measurement method, which provides dynamic preference adjustment, to assess alternatives in terms of utility for an individual decision maker throughout the requirements negotiation process. Consequently, interactive dynamic decision support is designed, which can handle changes related to requirements dynamically. An empirical study shows that the newly developed method is both objectively and subjectively more efficient than a static alternative. Thus, it is argued that efficient preference adjustment enables decision support based on up-to-date preferences. The designed support component is compared to two state-of-the-art approaches for decision support in requirements negotiations.

Autorenporträt

Annika Lenz was a research assistant at the Information Systems Department 1 - Organisational Communication at the University of Hohenheim, Germany, and is currently working in the field of digital transformation.

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