Snowballing: Data Extraction 2020 to 2021

To Extract data of the studies was used data extraction form present in [Data Extraction Form].

---

A78 - Model-Based Testing in Agile Projects: An Approach Based on Domain-Specific Languages (2020)

Data	Response
Title of Study	Model-Based Testing in Agile Projects: An Approach Based on Domain-Specific Languages.
Authors	Aline Zanin, Avelino Fracisco Zorzo, and Henry Cabral Nunes.
Year of publication	2020.
Study objective clearly stated?	Yes.
Are there enough data to assess the validity of the findings? If not, what are they missing?	Not contains an evaluation better how Study of Case, Proof of concept, experiment or quasi-experiment, only contains Focus Group and Survey.
DSL Name	Aquila.
Use or propose a DSL?	Propose.
DSL Features	Scripts Generation, Sequence generation
Which DSL focus domain?	Web Applications.
Technologies and Notations used in DSL development	Java.
DSL type	Textual.
Technique/approach/method to ensure coverage of the system with test cases	Use of the Depth-First Search algorithm (DFS).
System Under Testing (SUT) data are represented in the models and how they are represented	This language is an extension of the Gherkin language. SUT data is entered equally using Gherkin with minor differences.
Benefits in using DSL	Productivity, possible to have a small learning curve, use in agile development.
Drawbacks in using DSL	It’s not necessarily easy to learn.
Trends in using DSL	A DSL usability assessment.
Others comments about study	This DSL requires a better evaluation.

---

A79 - Implementation of the simple domain-specific language for system testing in V-Model development lifecycle (2020)

Data	Response
Title of Study	Implementation of the simple domain-specific language for system testing in V-Model development lifecycle.
Authors	Katharina Juhnke, Matthias Tichy.
Year of publication	2020.
Study objective clearly stated?	Yes.
Are there enough data to assess the validity of the findings? If not, what are they missing?	Not contains evaluation.
DSL Name	Not Specified.
Use or propose a DSL?	Propose.
DSL Features	Speficied test cases, link with requirements (without validation), report test cases results in JUnit XML.
Which DSL focus domain?	All domains because this DSL not contains executable scripts.
Technologies and Notations used in DSL development	XML.
DSL type	Textual.
Technique/approach/method to ensure coverage of the system with test cases	Not contains.
System Under Testing (SUT) data are represented in the models and how they are represented	Using specifics tags in XML.
Benefits in using DSL	Eliminates miscommunications between testers and requirement engineers making the testing closer to the requirement engineers.
Drawbacks in using DSL	Not contains validation in link with test case and requirement id.
Trends in using DSL	Link requirements with automation tests.
Others comments about study	Is an DSL without scripts generation

---

A80 - Advantageous Usage of Textual Domain-Specific Languages for Scenario-Driven Development of Automated Driving Functions (2019)

Data	Response
Title of Study	Advantageous Usage of Textual Domain-Specific Languages for Scenario-Driven Development of Automated Driving Functions.
Authors	Christoph Sippl, Florian Bock, Christoph Lauer, Aaron Heinz, Thomas Neumayer, and Reinhard German.
Year of publication	2019.
Study objective clearly stated?	Yes.
Are there enough data to assess the validity of the findings? If not, what are they missing?	Evaluation is not most detailed.
DSL Name	Not is presented.
Use or propose a DSL?	Propose.
DSL Features	Describe test scenarios, export o OpenXML to OpenDrive. (Transpiled language)
Which DSL focus domain?	Automotive Applications.
Technologies and Notations used in DSL development	Jetbrains MPS.
DSL type	Projecional/ Textual.
Technique/approach/method to ensure coverage of the system with test cases	Not contains.
System Under Testing (SUT) data are represented in the models and how they are represented	Using specific keywords.
Benefits in using DSL	Not is Ambiguos, facilitate test description evolution.
Drawbacks in using DSL	Require most evaluation.
Trends in using DSL	Make an evaluation.
Others comments about study	Is an extension of the OpenSCENARIO.

---

AXX - #TODO (XXXX)

Data	Response
Title of Study	#TODO.
Authors	#TODO.
Year of publication	#TODO.
Study objective clearly stated?	#TODO.
Are there enough data to assess the validity of the findings? If not, what are they missing?	#TODO.
DSL Name	#TODO.
Use or propose a DSL?	#TODO.
DSL Features	#TODO
Which DSL focus domain?	#TODO.
Technologies and Notations used in DSL development	#TODO.
DSL type	#TODO.
Technique/approach/method to ensure coverage of the system with test cases	#TODO.
System Under Testing (SUT) data are represented in the models and how they are represented	#TODO.
Benefits in using DSL	#TODO.
Drawbacks in using DSL	#TODO.
Trends in using DSL	#TODO.
Others comments about study	#TODO.

---