DSML4DT: A domain-specific modeling language for device tree software

A Domain-Specific Language for the Document-Based Model-Driven Engineering of Business Applications

“…A comparative evaluation of using DARC DSL and its IDE during MDE of business applications was performed in this study. For the construction of the evaluation study and the assessment of the achieved artifacts, we followed the multicase evaluation method proposed in [31] which we previously applied in the assessment of various DSLs / DSMLs and MDE processes such as [32], [33], [34], [35] for different industrial domains. Quantitative analysis and qualitative assessment steps of this method were updated and improved in this study for the usability evaluation of DARC as will be discussed below.…”

“…In our previous studies for other application domains (e.g. [32], [33], [34], [35], [40], [41]), we experienced using both single and double evaluator groups. Using a single group may raise the risk that the evaluators take advantage of their prior development experience using DARC DSL while developing the same business application without using DARC (or vice-versa).…”

Model-driven round-trip engineering for TinyOS-based WSN applications

“…For the construction of the evaluation study and the assessment of the achieved artefacts, we followed our multi-case evaluation method which we previously applied in the assessment of various DSMLs and MDE processes (e.g. [66,67,68,69]) for different domains. Quantitative analysis and qualitative assessment steps of this method were updated and improved in this study for the usability evaluation of DSML4TinyOS and RE4TinyOS environments as will be discussed below.…”

AgentDSM-Eval: A framework for the evaluation of domain-specific modeling languages for multi-agent systems

“…Second, a single evaluator group was used instead of two different groups, which could pose a threat to the execution phase. We experienced using both single and double evaluator groups in our previous empirical studies on evaluating both different MAS DSMLs (e.g., Kardas et al, 2017;Miranda et al, 2019) and DSMLs in other industrial domains (e.g., Saritas and Kardas, 2014;Arslan and Kardas, 2020). Using a single group may raise the risk that the evaluators take advantage of their prior development experience using the MAS DSML while developing the same MAS without using this MAS DSML (or vice-versa).…”