SEAug 25, 2014

A Case Study on Model-Based Development of Robotic Systems using MontiArc with Embedded Automata

arXiv:1408.5692v117 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of monolithic, non-reusable software in robotics for domain experts, but it is incremental as it applies an existing modeling method to a specific domain.

The study tackled the complexity of software development for service robotics by using the modeling language MontiArcAutomaton to modularize structure and behavior, finding that it leads to better reusable software based on survey data and development metrics.

Software development for service robotics is inherently complex. Even a single robot requires the composition of several sensors, actuators, and software modules. The systems are usually developed by groups of domain experts, rarely software engineering experts. Thus the resulting software systems are monolithic programs solving a single problem on a single platform. We claim modeling of both structure and behavior of robots in a modular way leads to better reusable software. We report on a study about the modeling of robotics software with the structure and behavior modeling language MontiArcAutomaton. This study assesses the benefits and difficulties of model-based robotics software development using MontiArc-Automaton. Our findings are based on a survey, discussions with the participants, and key figures from their development behavior. We present the project, our study, lessons learned, and future work based on the insights gained

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