Qualitative vs. Quantitative Contribution Labels in Goal Models: Setting an Experimental Agenda

Research question 6: Can we generalize a data mining setting to model development for data science in such a way that models mediate between theory offers and theories..

3) Model Sampling: To develop the samples of goal models that we need, we pick a goal structure (more below) and ran- domly choose contribution link labels, such that the distance

Element type Syntax Example Goal object + passive verb Trip advice is provided Softgoal quality attribute (+ object)

We propose an extension to the SPARQL query language that supports the specification of qualitative and quantitative preferences over query outcomes and examine the realization of

In this paper, we discuss our experience in augmenting goal models with temporal information about goal satisfaction, which we performed for the purpose of representing and

Example methods more appropriate for this later-stage evaluation include evaluation in the KAOS Framework [6], the analysis of property metrics over the structure of goal- and

For each means in the goal model (step 1) select the means template and if needed complement the means with the optional part of the template, and (step 2) use the business

Application of Rules Four rules associated with the means templates high- lighted in the to-be goal model are used to transform the as-is business model into an aligned business