Nowadays, end users can customize their technological devices and web applications by means of trigger-action rules, defined through End-User Development (EUD) tools. However, debugging capabilities are important missing features in these tools that limit their large-scale adoption. Problems in trigger-action rules, in fact, can lead to unpredictable behaviors and security issues, e.g., a door that is unexpectedly unlocked. In this paper, we present a novel debugging approach for trigger-action programming. The goal is to assists end users during the composition of trigger-action rules by: a) highlighting possible problems that the rules may generate, and b) allowing their step-by-step simulation. The approach, based on Semantic Web and Petri Nets, has been implemented in a EUD tool, and it has been preliminary evaluated in a user study with 6 participants. Results provide evidence that the tool is usable, and it helps users in understanding and identifying problems in trigger-action rules.

A Debugging Approach for Trigger-Action Programming / De Russis, Luigi; Monge Roffarello, Alberto. - STAMPA. - (2018), pp. 1-6. ((Intervento presentato al convegno CHI 2018: The 36th Annual CHI Conference on Human Factors in Computing Systems tenutosi a Montreal, QC (Canada) nel April 21–26, 2018 [10.1145/3170427.3188641].

A Debugging Approach for Trigger-Action Programming

De Russis, Luigi;Monge Roffarello, Alberto
2018

Abstract

Nowadays, end users can customize their technological devices and web applications by means of trigger-action rules, defined through End-User Development (EUD) tools. However, debugging capabilities are important missing features in these tools that limit their large-scale adoption. Problems in trigger-action rules, in fact, can lead to unpredictable behaviors and security issues, e.g., a door that is unexpectedly unlocked. In this paper, we present a novel debugging approach for trigger-action programming. The goal is to assists end users during the composition of trigger-action rules by: a) highlighting possible problems that the rules may generate, and b) allowing their step-by-step simulation. The approach, based on Semantic Web and Petri Nets, has been implemented in a EUD tool, and it has been preliminary evaluated in a user study with 6 participants. Results provide evidence that the tool is usable, and it helps users in understanding and identifying problems in trigger-action rules.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2701270
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