TY - JOUR
T1 - Comparing the usability of two multi-agents systems DSLs: Sea_ML++ and DSML4MAS study design
AU - Silva, João
AU - Barišić, Ankica
AU - Amaral, Vasco
AU - Goulão, Miguel
AU - Tezel, Baris Tekin
AU - Alaca, Omer Faruk
AU - Challenger, Moharram
AU - Kardas, Geylani
N1 - The authors would like to thank the following: i) the Scientific and Technological Research Council of Turkey (TUBITAK) under grant 115E591, and ii) Portuguese grants NOVA LINCS Research Laboratory (Grant: FCT/MCTES PEst UID/ CEC/04516/2013) and DSML4MAS Project (Grant: FCT/MCTES TUBITAK/0008/2014).
The authors would also like to thank the COST Action networking mechanisms and support of IC1404 Multi-Paradigm Modeling for Cyber-Physical Systems (MPM4CPS). COST is supported by the EU Framework Programme Horizon 2020.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Context: The “Physics of Notations” (PoN) supports a systematic improvement of the cognitive effectiveness of visual modelling languages. Problem: PoN focuses on the concrete syntax of a language, building on a predefined abstract syntax. We should also consider the abstract syntax of a language when developing efforts to improve it by choosing the most adequate language constructs (concepts and their relationships). We instantiate this challenge by comparing two Multi-Agent Systems Domain Specific Languages: SEA_ML++ and DSML4MAS, and assessing the extent to which their respective constructs affect the developer experience. Method: We will perform a quasi-experiment for comparing how practitioners use both languages to solve similar modelling challenges. The experiment will have a cross-over within-subjects design and will focus on the extent to which the different language constructs impact on developer experience. These tasks will be monitored, so that we can assess their success and effort involved, including eye-tracking information. Results: This paper reports on the planned study design for this empirical comparison of two DSLs for MAS.
AB - Context: The “Physics of Notations” (PoN) supports a systematic improvement of the cognitive effectiveness of visual modelling languages. Problem: PoN focuses on the concrete syntax of a language, building on a predefined abstract syntax. We should also consider the abstract syntax of a language when developing efforts to improve it by choosing the most adequate language constructs (concepts and their relationships). We instantiate this challenge by comparing two Multi-Agent Systems Domain Specific Languages: SEA_ML++ and DSML4MAS, and assessing the extent to which their respective constructs affect the developer experience. Method: We will perform a quasi-experiment for comparing how practitioners use both languages to solve similar modelling challenges. The experiment will have a cross-over within-subjects design and will focus on the extent to which the different language constructs impact on developer experience. These tasks will be monitored, so that we can assess their success and effort involved, including eye-tracking information. Results: This paper reports on the planned study design for this empirical comparison of two DSLs for MAS.
UR - http://www.scopus.com/inward/record.url?scp=85063110538&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85063110538
SN - 1613-0073
VL - 2245
SP - 770
EP - 777
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2018 MODELS Workshops: ModComp, MRT, OCL, FlexMDE, EXE, COMMitMDE, MDETools, GEMOC, MORSE, MDE4IoT, MDEbug, MoDeVVa, ME, MULTI, HuFaMo, AMMoRe, PAINS, MODELS-WS 2018
Y2 - 14 October 2018 through 19 October 2018
ER -