Experimental Comparison of Two Goal-oriented Analysis Techniques

Carlos Cano-Genoves, Silvia Abrahão, Emilio Insfran

2022

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.

Paper Citation

in Harvard Style

Cano-Genoves C., Abrahão S. and Insfran E. (2022). Experimental Comparison of Two Goal-oriented Analysis Techniques. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-550-0, pages 242-251. DOI: 10.5220/0010847000003119

in Bibtex Style

@conference{modelsward22,
author={Carlos Cano-Genoves and Silvia Abrahão and Emilio Insfran},
title={Experimental Comparison of Two Goal-oriented Analysis Techniques},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2022},
pages={242-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010847000003119},
isbn={978-989-758-550-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Experimental Comparison of Two Goal-oriented Analysis Techniques
SN - 978-989-758-550-0
AU - Cano-Genoves C.
AU - Abrahão S.
AU - Insfran E.
PY - 2022
SP - 242
EP - 251
DO - 10.5220/0010847000003119