Authors:
Carlos Cano-Genoves
;
Silvia Abrahão
and
Emilio Insfran
Affiliation:
Department of Computer Science, Universitat Politècnica de València, Camino de vera, s/n 46022, Valencia, Spain
Keyword(s):
Goal-models, Goal-oriented Analysis Techniques, Controlled Experiment.
Abstract:
Background: Goal-oriented analysis techniques help reason and make decisions about goal models. These models may represent the stakeholders’ intentions with respect to the software system to be developed. In a previous work, we proposed VeGAn, a goal-oriented analysis technique that follows a value-driven approach in order to support decision-making. Aims: This paper compares the VeGAn technique with the GRL-Quant technique, with respect to the accuracy of goal model element prioritization, the participants’ prioritization time, and their perceptions of the quality of the analysis results (perceived satisfaction). Method: A controlled experiment was carried out with 64 Computer Science undergraduate students who analyzed a goal model using each of the techniques compared. Results: The results of the experiment show that there are no significant differences between prioritization time. However, the perceived satisfaction was superior for VeGAn, although the prioritization accuracy of
GRL-Quant was better for one particular system. Conclusions: While further research is required in order to strengthen these results, the experiment provides preliminary results on the usefulness of both goal-oriented analysis techniques. Several insights have emerged from this study, and also opportunities to improve both techniques.
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