This paper presents Alloy4Fun, a web application that enables online editing and sharing of Alloy models and instances (including dynamic ones developed with the Electrum extension), to be used mainly in an educational context. By introducing secret paragraphs and commands in the models, Alloy4Fun allows the distribution and automated assessment of simple specification challenges, a mechanism that enables students to learn the language at their own pace. Alloy4Fun stores all versions of shared and analyzed models, as well as derivation trees that depict how they evolved over time: this wealth of information can be mined by researchers or tutors to identify, for example, learning breakdowns in the class or typical mistakes made by Alloy users. Alloy4Fun has been used in formal methods graduate courses for two years and for the latest edition we present results regarding its adoption by the students, as well as preliminary insights regarding the most common bottlenecks when learning Alloy (and Electrum).
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% BibTex
@inproceedings{MacedoCPCSPRS20,
author = {Nuno Macedo and
Alcino Cunha and
Jos{\'{e}} Pereira and
Renato Carvalho and
Ricardo Silva and
Ana C. R. Paiva and
Miguel Sozinho Ramalho and
Daniel Castro Silva},
editor = {Alexander Raschke and
Dominique M{\'{e}}ry and
Frank Houdek},
title = {Experiences on Teaching Alloy with an Automated Assessment Platform},
booktitle = {Rigorous State-Based Methods - 7th International Conference, {ABZ}
2020, Ulm, Germany, May 27-29, 2020, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {12071},
pages = {61--77},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-48077-6\_5},
doi = {10.1007/978-3-030-48077-6\_5},
timestamp = {Tue, 25 Jun 2024 21:03:18 +0200},
biburl = {https://dblp.org/rec/conf/asm/MacedoCPCSPRS20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}