Context: Attack-Defense Trees (ADTs) are a graphical notation used to model and evaluate security requirements. ADTs are popular because they facilitate communication among different stakeholders involved in system security evaluation and are formal enough to be verified using methods like model checking. The understandability and user-friendliness of ADTs are claimed as key factors in their success, but these aspects, along with user acceptance, have not been evaluated empirically. Objectives: This paper presents an experiment with 25 subjects designed to assess the understandability and user acceptance of the ADT notation, along with an internal replication involving 49 subjects. Methods: The experiments adapt the Method Evaluation Model (MEM) to examine understandability variables (i.e., effectiveness and efficiency in using ADTs) and user acceptance variables (i.e., ease of use, usefulness, and intention to use). The MEM is also used to evaluate the relationships between these dimensions. In addition, a comparative analysis of the results of the two experiments is carried out. Results: With some minor differences, the outcomes of the two experiments are aligned. The results demonstrate that ADTs are well understood by participants, with values of understandability variables significantly above established thresholds. They are also highly appreciated, particularly for their ease of use. The results also show that users who are more effective in using the notation tend to evaluate it better in terms of usefulness. Conclusion: These studies provide empirical evidence supporting both the understandability and perceived acceptance of ADTs, thus encouraging further adoption of the notation in industrial contexts, and development of supporting tools.

Evaluating the understandability and user acceptance of Attack-Defense Trees: Original experiment and replication / Broccia, Giovanna; ter Beek, Maurice H.; Lluch Lafuente, Alberto; Spoletini, Paola; Fantechi, Alessandro; Ferrari, Alessio. - In: INFORMATION AND SOFTWARE TECHNOLOGY. - ISSN 0950-5849. - STAMPA. - 178:(2025), pp. 107624.1-107624.18. [10.1016/j.infsof.2024.107624]

Evaluating the understandability and user acceptance of Attack-Defense Trees: Original experiment and replication

Fantechi, Alessandro;Ferrari, Alessio
2025

Abstract

Context: Attack-Defense Trees (ADTs) are a graphical notation used to model and evaluate security requirements. ADTs are popular because they facilitate communication among different stakeholders involved in system security evaluation and are formal enough to be verified using methods like model checking. The understandability and user-friendliness of ADTs are claimed as key factors in their success, but these aspects, along with user acceptance, have not been evaluated empirically. Objectives: This paper presents an experiment with 25 subjects designed to assess the understandability and user acceptance of the ADT notation, along with an internal replication involving 49 subjects. Methods: The experiments adapt the Method Evaluation Model (MEM) to examine understandability variables (i.e., effectiveness and efficiency in using ADTs) and user acceptance variables (i.e., ease of use, usefulness, and intention to use). The MEM is also used to evaluate the relationships between these dimensions. In addition, a comparative analysis of the results of the two experiments is carried out. Results: With some minor differences, the outcomes of the two experiments are aligned. The results demonstrate that ADTs are well understood by participants, with values of understandability variables significantly above established thresholds. They are also highly appreciated, particularly for their ease of use. The results also show that users who are more effective in using the notation tend to evaluate it better in terms of usefulness. Conclusion: These studies provide empirical evidence supporting both the understandability and perceived acceptance of ADTs, thus encouraging further adoption of the notation in industrial contexts, and development of supporting tools.
2025
178
1
18
Broccia, Giovanna; ter Beek, Maurice H.; Lluch Lafuente, Alberto; Spoletini, Paola; Fantechi, Alessandro; Ferrari, Alessio
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1403701
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