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TESTAR State Model extracted while executing MyThaiStar as web system under test

<p>TESTAR extracted State Model datasets with TESTAR tool using MyThaiStar web application as System Under Test (SUT). This&nbsp;State Models has&nbsp;been generated to be used as an example to&nbsp;be automatically generated&nbsp;and introduced locally in DECODER PKM, from H2020 DECODER Project.</p> <p>TESTAR tool&nbsp;is an open source tool (www.testar.org) for automated testing through graphical user interface (GUI) currently &nbsp;being &nbsp;developed &nbsp;by &nbsp;the Universitat Politecnica de Valencia and the Open University of the Netherlands.</p> <p>MyThaiStar (<a href="https://github.com/devonfw/my-thai-star">github.com/devonfw/my-thai-star</a>) is the reference application that Capgemini uses internally to promote best programming practices and the correct use of last technologies.&nbsp;It&rsquo;s is developed with Devon Framework, the standard tool for development at the company.</p> <p>PKM is the Persistent Knowledge Monitor developed as main infrastructure from H2020 DECODER Project (www.decoder-project.eu)&nbsp;under grant agreement number 824231.</p> <p>As TESTAR explores automatically the SUT, it will use the Document Object Model (DOM) information extracted from MyThaiStar SUT, to generate and save a TESTAR State Model in the OrientDB graph database. This model contains information about the Widgets, States and Actions, that were found in the SUT.<br> <br> - MyThaiStar.json.gz: JSON file exported from OrientDB that contains a database with the TESTAR State Model. It can be imported into OrientDB using the TESTAR tool, to analyze and interact with the State Model.<br> <br> - ArtefactStateModel_MyThaiStar_2020.1_zpnffj5c3407972370_2020-06-15_12h14m24s: for DECODER project purposes, the knowledge extracted with TESTAR in the generation of the State Model has been summarized and referenced in an artifact JSON file to be adapted to PKM input requirements.</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
0
Engagement
8

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