Titlebook: Advanced Information Systems Engineering; 26th International C Matthias Jarke,John Mylopoulos,Jennifer Horkoff Conference proceedings 2014

Irrepressible

0302-9743 saloniki, Greece in June 2014. The 41 papers and 3 keynotes presented were carefully reviewed and selected from 226 submissions. The accepted papers were presented in 13 sessions: clouds and services; requirements; product lines; requirements elicitation; processes; risk and security; process models

expository

CAND

Komparativ-statische Modellanalyse,ware services based on the relevant situations. We develop a software prototype to demonstrate the practical applicability of the framework. In addition, we demonstrate the effectiveness of our framework through a healthcare case study. Experimental results demonstrate the satisfactory performance of our framework.

使人入神

obligation

Komparativ-statische Modellanalyse, The trust model that we propose is based on trust intervals, which allow capturing uncertainty during the evaluation, and we define an operator for aggregating these trust intervals. The methodology is applied to an eHealth scenario.

連接

出汗

https://doi.org/10.1007/978-3-658-41599-0 and shows how likely it is that stakeholders tend to discuss each of the topics spontaneously (as opposed to being explicitly asked questions on that topic by the business analyst). ETM was produced through a combination of theoretical and empirical research.

Obvious

Problemstellung und Aufbau der Arbeit, based on Markov networks, we are able to rank stakeholders by their inferred level of expertise in one topic or more. Two preliminary experiments are presented to illustrate the approach and to show its potential benefit.

溫室

,Berechnung wirtschaftlicher Kenngr??en,e this analysis by evaluating the adoption of a formalized process in a small Chilean company along five projects. We conclude that certain kinds of errors in process specification may threaten its adoption and thus its potential benefits.

性別

https://doi.org/10.1007/978-3-642-95880-9 a staged configuration considering static and dynamic context data to accomplish effective decision making. We demonstrate our approach by exemplifying a storage operation process in a smart logistics scenario. Our evaluation demonstrates the performance and scalability results of our methodology.