-------- Weitergeleitete Nachricht --------
22-Dec-2025
Dear Professor Kehrer,
I am writing to you on behalf of the Editorial Board of the ACM
Transactions on Software Engineering and Methodology (TOSEM)
regarding the following manuscript, which has been submitted to
TOSEM as a Registered Report:
An Empirical Study on the Effectiveness and Limitations of Fault
Injection Tools for CPS Simulink Models
TOSEM-2025-1161
authored by Yadav, Drishti; Mandrioli, Claudio; Bianculli,
Domenico
The Associate Editor in charge of the paper, Professor Xiaoxing
Ma, has identified you as a potential reviewer of the submission.
**Important information:** Registered Papers follow a different
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If you can do the review, we expect to receive your report by four
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Agreed:
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High-quality peer-reviewed journals like TOSEM cannot exist
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of whether you can review for TOSEM this time, I personally
appreciate your contributions to TOSEM and software engineering
research.
Sincerely,
Abhik Roychoudhury
Editor-in-Chief
ACM Transactions on Software Engineering and Methodology
-------------------------------
ABSTRACT
Cyber-Physical Systems (CPS) are deployed in domains where
failures can have severe consequences, such as automotive and
aerospace. Fault Injection (FI) is a widely used approach to
evaluate CPS resilience by perturbing models and observing their
behavior under faulty conditions. Simulink, the de facto standard
for CPS modeling, has inspired the development of several FI
tools; yet existing work has largely focused on presenting
individual tools in isolation. To date, no comprehensive empirical
evaluation of state-of-the-art FI tools exists. In this stage-one
registered report, we first provide an abstract description of
Simulink models that allows the rigorous classification of the
types of FI. Second, we use this classification to characterize
the fault types available in state-of-the-art tools. Third, we
report on the research plan for the first systematic evaluation of
its kind. This study will allow the quantification of how well FI
tools for Simulink support the injection of diverse faults, while
preserving model syntax, semantics, and observability. By
characterizing their strengths and weaknesses, our study aims to
establish a baseline for assessing tool effectiveness and to
provide guidance for the design of more effective FI techniques
for CPS.
-------------------------------