Stability: An Abstract Domain for the Trend of Variation of Numerical Variables

State-of-the-art abstract domains for static analysis typically focus on over-approximating either the values a variable can hold at a specific program point or the relational dependencies among variables. In this paper, we aim to capture the trend of numerical values during program executions (e.g., increasing, decreasing, or stable) relative to preceding states. By integrating the Stability domain with numerical domains, we can verify co-/contra-variance relationships among potentially unrelated variables. This approach has promising applications for anomaly detection in complex software systems, and for the verification of functional requirements.

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Published
2024-10-17
DOI
https://doi.org/10.1145/3689609.3689995
Citations
1
Primary Topic
Formal Methods in Verification
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article
Field-Weighted Citation Impact
0.36
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Stability: An Abstract Domain for the Trend of Variation of Numerical Variables

Luca Negrini, Agostino Cortesi, Enea Zaffanella, Pietro Ferrara et al.
1 citations
Formal Methods in Verification
0.36
article

Stability: An Abstract Domain for the Trend of Variation of Numerical Variables

Luca Negrini, Agostino Cortesi, Enea Zaffanella, Pietro Ferrara, Sofia Presotto
article en
1 citations

Abstract

State-of-the-art abstract domains for static analysis typically focus on over-approximating either the values a variable can hold at a specific program point or the relational dependencies among variables. In this paper, we aim to capture the trend of numerical values during program executions (e.g., increasing, decreasing, or stable) relative to preceding states. By integrating the Stability domain with numerical domains, we can verify co-/contra-variance relationships among potentially unrelated variables. This approach has promising applications for anomaly detection in complex software systems, and for the verification of functional requirements.

University of Parma (IT), Ca' Foscari University of Venice (IT)
Openalex Percentile: Top 35%
Formal Methods in Verification
0.36
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