## 2 Literature
### Meta Review and Evolution
The search terms were generated based on the spheres that deal with process model evaluation, metrics, quality, modularity and assessment. Since process mining has many neighbouring fields that share the same form of evaluation (e.g., business process modelling, workflow), we specifically selected terms to avoid any bias or overlooking any research works. The primary search was performed using Google Scholar search and the secondary search was conducted through Scopus. The search using Scopus was mainly to recover any missing articles that were not found during the primary search via Google Scholar. Similar to that of the broad spectrum review, the Google Scholar advanced search option was set up in two ways. The first approach was set up as follows. The articles with _\"the exact phrase\"_ occurring _\"anywhere in the article\"_ between the dates 1997 and 2023 with the _Review articles only_ field enabled and the remaining fields were left blank. The keywords used for this search were _\"Workflow learning\"_, _\"Workflow Quality\"_, _\"Workflow discovery\"_, _\"Workflow Discovery Quality\"_, _\"Workflow Discovery Evaluation\"_, _\"Business Process Modelling\"_, _\"Business Process Modelling Metrics\"_, _\"Business Process Modelling Quality\"_, _\"Business Process Model Quality\"_, _\"Business Process model quality indicators\"_, _\"Process Learning\"_, _\"Process Mining Metrics\"_, _\"Process Modelling\"_, _\"Process Model Notation\"_,\"Process Model Quality\", \"Process Model Evaluation Quality\", \"Process Model Understandability\", \"Process Model Complexity\", \"Process Model Understandability\", \"Process Model Understandability\", \"Process Modelling Metrics\", \"Knowledge discovery workflow\". The second search approach was set up as follows. The articles with _\"with all of the words\"_ and _\"with the exact phrase\"_ occurring _\"anywhere in the article\"_ between the dates 1997 and 2023 with the _review articles only_ field enabled and the remaining fields were left blank. The keywords were used as follows. The first part of the phrase was entered in the first field of _\"with all of the words\"_ (i.e., the phrase before AND) and the second part of the phrase was entered in the field _\"with the exact phrase\"_ (i.e., the phrase after AND). The search terms were _\"Quality assessment\"_ AND _\"Business process models\")_, \"Quality indicators\"_ AND _\"Business process models\")\", \"Process model complexity\"_ AND _\"Metrics\"_, \"Process learning\"_ AND _\"Process mining\"_, \"Process discovery\"_ AND _\"Process mining)\"_, \"Modularity representation\"_ AND _\"Business process models\"_, \"Presentation medium\"_ AND _\"Business process models)\", \"Experimental evaluation\"_ AND _\"Business process modelling\"_, \"Business process model\"_ AND _\"Quality\"_, \"Business process model\"_ AND _\"Complexity\"_. The articles obtained from the search terms were examined by their abstract and full text to make sure they did not fall into neighbouring fields such as networking and business informatics. Figure 2 exhibits the search procedure for the meta-review. The following inclusion and exclusion criteria were used to filter works:  
Inclusion criteria:
* Should be a review paper;
* Should have been published between 1997 and 2023 (when performing this study, articles published until January 2023 were considered for analysis);
* Should be relevant to process mining and business process modelling;
* Should be aimed at quality, measurement, modularity, evaluation, metrics and complexity for process models or modelling. Figure 2: The selection procedure for the meta-review. **Exclusion criteria:**  
* Works that focus on topics other than evaluation (e.g., process algorithms, languages, tools or mining approaches, visualisations, oncology);
* Works that focus only on one metric or one characteristic;
* Works not in English. **Results of the Meta Review:** We found 379 review articles published in the time frame between 1997 to 2023. Each work summarises various evaluation methods and metrics for process modelling.