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Print ISSN: 1582-7445
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  3/2023 - 6

ROSMutation: Mutation Based Automated Testing for ROS Compatible Robotic Software

YAYAN, U. See more information about YAYAN, U. on SCOPUS See more information about YAYAN, U. on IEEExplore See more information about YAYAN, U. on Web of Science
 
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Download PDF pdficon (1,383 KB) | Citation | Downloads: 393 | Views: 653

Author keywords
robot operating system, mutation testing, software robustness, fault injection, automated software testing

References keywords
software(16), testing(12), mutation(8), test(7), systems(6), robot(6), robotics(4), robotic(4), analysis(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2023-08-31
Volume 23, Issue 3, Year 2023, On page(s): 47 - 56
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.03006
Web of Science Accession Number: 001062641900006
SCOPUS ID: 85172316027

Abstract
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Ensuring the safety, security, robustness, and fault tolerance of advanced robotic systems is essential for various fields, including healthcare, industry, and space. To address these issues, it is necessary to use software testing techniques and standards, similar to those applied in other safety-critical applications. The Robot Operating System (ROS) is a popular choice for developing robotic systems, so it is important to have specialized testing libraries and methods for it. In this study, a novel mutation testing library for ROS was developed and integrated it into the automated/tailored mutation-based software fault injection tool (IM-FIT). IM-FIT is an open-source automated software testing tool that is used to evaluate the software robustness of safety-critical systems using mutation-based tests. The proposed ROSMutation library mutates ROS-specific code snippets (publisher, subscriber, params, services, etc.) in the Python code within ROS-compatible software packages using IM-FIT. We evaluated the effectiveness of the ROSMutation library in two scenarios (basic and advanced), applying it to ROS-compatible code through IM-FIT and measuring its ability to assess the software robustness of ROS-compatible and Python-based software packages. The results showed that the ROSMutation library is effective in evaluating software robustness criteria for ROS-compatible and Python based software.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 981 TCR
SCOPUS® Citations for all references: 1,650 TCR

Web of Science® Average Citations per reference: 36 ACR
SCOPUS® Average Citations per reference: 61 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-06-19 09:40 in 158 seconds.




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