Isabelle Comyn-Wattiau

TL;DR: This research brings to light important relationships between the dimensions of IS artifact evaluation, and identifies seven typical evaluation patterns: demonstration; simulation- and metric-based benchmarking of artifacts; practice-based evaluation of effectiveness; simulation, metric, and simulation-based absolute evaluation of artifacts'; practice- based evaluation of usefulness or ease of use; laboratory, student-based Evaluation of usefulness; and algorithmic complexity analysis.

TL;DR: This paper presents a UML-based data warehouse design method that spans the three design phases (conceptual, logical and physical), and represents all the metamodels using UML, and illustrates the formal specification of the transformations based on OMG's Object Constraint Language (OCL).

TL;DR: The artifact resulting from this research comprises three main components: a hierarchy of evaluation criteria for IS artifacts organized according to the dimensions of a system, a model providing a high-level abstraction of evaluation methods, and a set of generic evaluation methods which are instantiations of this model.

TL;DR: It is found that researchers are increasingly involved in research combining Big Data and Analytics, Cloud, Internet of things, mobility or social media, and besides an interest in performance, other topics as scalability is emerging.

TL;DR: In this paper, the authors provide a comprehensive framework for evaluating EER and UML conceptual schemas and define classes of metrics facilitating the evaluation process and leading to the choice of the appropriate representation among several schemas describing the same reality.