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

Software development required for constructing multi-agent systems (MAS) usually becomes challenging and time-consuming due to the properties of autonomy, distributedness, openness these in addition complicated nature internal agent behaviors interactions. To facilitate MAS development, researchers propose various domain-specific modeling languages (DSMLs) by enriching metamodels with a defined syntax semantics. Although descriptions are given related studies examples their use, unfortunately, many not evaluated terms either usability (being hard learn, understand use) or quality generated artifacts. Hence, this paper, we introduce an evaluation framework, called AgentDSM-Eval, its supporting tool which can be used evaluate DSMLs systematically according quantitative qualitative aspects software development. The empirical evaluation, presented AgentDSM-Eval was successfully applied one well-known DSMLs. assessment showed that both domain coverage developers’ adoption elements determined framework. Moreover, tool's results assess DSML's performance on time throughput. also enables DSML features novel characteristics measures, it defines specifically domain.