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Artificial datasets for multi-perspective Declare analysis

<p>This file&nbsp;contains the dataset we used for the evaluation of the multi-perspective Declare analysis.</p> <p><strong>Logs</strong></p> <p>In particular, it contains&nbsp;logs with different sizes and different trace lengths. We generated traces with 10, 20, 30, 40, and 50 events and, for each of these lengths, we generated logs with 25000, 50000, 75000, and 100000 traces.&nbsp;Therefore, in total, there are 20 logs.</p> <p><strong>Declare models</strong></p> <p>In addition, the dataset contains 10 Declare models. In particular, we prepared two models with 10 constraints, one only containing constraints on the control-flow (without conditions on data and time), and another one including real multi-perspective constraints (with conditions on time and data). We followed the same procedure to create models with 20, 30, 40, and 50 constraints.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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