VLDB 2026 Research / reviewers in the wild / expert
Jesper Amilon
dblp:331/5640
· DBLP profile ↗
5ranked-venue papers
4as first author
5since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 4 · 3 first-author · 4 since 2021Theory of computation · 2 · 2 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A program instrumentation framework for automatic verificationabstractAbstract In deductive verification and software model checking, dealing with certain specification language constructs can be problematic when the back-end solver is not sufficiently powerful or lacks the required theories. One way to deal with this is to transform, for verification purposes, the program to an equivalent one not using the problematic constructs, and to reason about this equivalent program instead. In this article, we propose program instrumentation as a unifying verification paradigm that subsumes various existing ad-hoc approaches, has a clear formal correctness criterion, can be applied automatically, and can transfer back witnesses and counterexamples. We illustrate our approach on the automated verification of programs that involve quantification and aggregation operations over arrays, such as the maximum value or sum of the elements in a given segment of the array, which are known to be difficult to reason about automatically. We implement our approach in the MonoCera tool, which is tailored to the verification of programs with aggregation, and evaluate it on example programs, including SV-COMP programs. Jesper Amilon, Zafer Esen, Dilian Gurov, Christian Lidström, Philipp Rümmer, Marten Voorberg |
Formal Methods Syst. Des. | 1 |
| 2024 | Deductively Verified Program Models for Software Model Checking
Jesper Amilon, Dilian Gurov |
ISoLA (3) | 1 |
| 2024 | Post-Hoc Formal Verification of Automotive Software with Informal Requirements: An Experience ReportabstractIn this paper, we report on our experience with formally specifying and verifying an industrial software module, provided to us by a company from the heavy-vehicle industry. We start with a set of 32 informally stated requirements, also provided by the company. We discuss at length the formalization process of informally stated requirements for the purposes of their subsequent formal verification. Depending on the nature of each requirement, one of three languages was used: ACSL contracts, LTL or MITL. We use the Frama-C deductive verification framework to verify the source code of the module against the formalized requirements, with the outcome that 21 requirements are successfully verified while 6 are not. The remaining 5 requirements could not be verified for the module itself, as they specify behavior outside it. We illustrate what steps we took to convert LTL and MITL formulas into ACSL contracts to enable their verification in Frama-C. Finally, we discuss conclusions we drew from our work, notably that formal-verification-driven development of modules and verified breakdown of system requirements could likely remedy some problems we encountered. Gustav Ung, Jesper Amilon, Dilian Gurov, Christian Lidström, Mattias Nyberg, Karl Palmskog |
RE | 2 |
| 2023 | Automatic Program Instrumentation for Automatic VerificationabstractAbstract In deductive verification and software model checking, dealing with certain specification language constructs can be problematic when the back-end solver is not sufficiently powerful or lacks the required theories. One way to deal with this is to transform, for verification purposes, the program to an equivalent one not using the problematic constructs, and to reason about its correctness instead. In this paper, we propose instrumentation as a unifying verification paradigm that subsumes various existing ad-hoc approaches, has a clear formal correctness criterion, can be applied automatically, and can transfer back witnesses and counterexamples. We illustrate our approach on the automated verification of programs that involve quantification and aggregation operations over arrays, such as the maximum value or sum of the elements in a given segment of the array, which are known to be difficult to reason about automatically. We implement our approach in the MonoCera tool, which is tailored to the verification of programs with aggregation, and evaluate it on example programs, including SV-COMP programs. Jesper Amilon, Zafer Esen, Dilian Gurov, Christian Lidström, Philipp Rümmer |
CAV (3) | 1 |
| 2022 | Deductive Verification Based Abstraction for Software Model Checking
Jesper Amilon, Christian Lidström, Dilian Gurov |
ISoLA (1) | 1 |