Published March 5, 2020
| Version EM 2019/20
Dataset
Open
Alloy4Fun Dataset for 2019/20
Description
This dataset contains the models submitted to the shared models in the Alloy4Fun platform during the 2019/20 edition of the "Specification and Modelling" graduate course at the University of Minho with 17 enrolled students, as reported in the ABZ'20 paper "Experiences on Teaching Alloy with an Automated Assessment Platform".
- Trash FOL, sDLK7uBCbgZon3znd
- Classroom FOL, YH3ANm7Y5Qe5dSYem
- Trash RL, PQAJE67kz8w5NWJuM
- Classroom RL, zRAn69AocpkmxXZnW
- Graphs, gAeD3MTGCCv8YNTaK
- LTS, zoEADeCW2b2suJB2k
- Production, jyS8Bmceejj9pLbTW
- CV, JC8Tij8o8GZb99gEJ
- Trash LTL, 9jPK8KBWzjFmBx4Hb
Each entry of the dataset registers either an execution (which may have returned a result or an error) or the creation of a permalink for sharing, and contains:
- _id: the id of the interaction
- time: the timestamp of its creation
- derivationOf: the parent entry
- original: the first ancestor with secrets (always the same within an exercise)
- code: the complete code of the model (excluding the secrets defined in the original entry) (with student comments removed)
- sat: whether the command was satisfiable (counter-example found for checks), or -1 when error thrown [only for executions]
- cmd_i: the index of the executed command [only for executions]
- cmd_n: the name of the executed command [only for successful executions, i.e. no error thrown]
- cmd_c: whether the command was a check [only for successful executions, i.e. no error thrown]
- msg: the error or warning message [only for successful executions with warnings or when error thrown]
- theme: the visualisation theme [only for sharing entries]
Files
9jPK8KBWzjFmBx4Hb.json
Files
(26.9 MB)
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md5:6e60d1958dc335b2d5088f3fced6bbd3
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md5:b2e690e1fc5fdeb367c1d99e0f82574c
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md5:d309669f39c6f8204b95d03cc3758c73
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md5:8dfd8695de800d139349ca0c5f419a43
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md5:06c476cefd795edd4246dcf0d05d2504
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md5:8405a784b8a5c4c9965110cefc770815
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4.7 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Conference paper: 10.1007/978-3-030-48077-6_5 (DOI)
Funding
Dates
- Collected
-
2019-09-01/2020-01-31Data collection