84,89 €
Dynamic Decision Support for Electronic Requirements Negotiations
Dynamic Decision Support for Electronic Requirements Negotiations
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Dynamic Decision Support for Electronic Requirements Negotiations
Dynamic Decision Support for Electronic Requirements Negotiations
El. knyga:
84,89 €
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.…

Dynamic Decision Support for Electronic Requirements Negotiations (el. knyga) (skaityta knyga) | knygos.lt

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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.

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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.

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