Titlebook: Smart Education and e-Learning 2021; Vladimir L. Uskov,Robert J. Howlett,Lakhmi C. Jain Conference proceedings 2021 The Editor(s) (if appl

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Vladimir L. Uskov,Jeffrey P. Bakken,Prasanthi Putta,Deepali Krishnakumar,Keerthi Sree Ganapathiprogramming languages with Call-by-Value and Call-By-Push-Value semantics. The closed-formed bounds are derived as multivariate polynomials over the integers. This now serves as a base for the development of an experimental toolkit for automated memory analysis of functional languages.

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Karsten Henke,Johannes Nau,Robert Niklas Bock,Heinz-Dietrich Wuttketed clauses. We propose a working algorithm that simultaneously computes these correspondences in a greedy manner. While our algorithm does not necessarily compute the most specific generalization, we conjecture that it allows to compute, in general, a sufficiently good generalization in an acceptab

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Vadim D. Kholoshnia,Elena A. Boldyrevae implemented a proof checker in Imandra, specified its correctness properties and started to verify the checker’s compliance with them. Our ongoing work focuses on completing the formal verification of the checker and further optimising its performance.

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Elena A. Boldyreva,Lubov S. Lisitsyna,Vadim D. Kholoshniaprogramming languages with Call-by-Value and Call-By-Push-Value semantics. The closed-formed bounds are derived as multivariate polynomials over the integers. This now serves as a base for the development of an experimental toolkit for automated memory analysis of functional languages.

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Hengbin Yan,Yinghui Li techniques from the examples instead of being generated independently from the examples. A prototypical implementation shows first that programs are inducible which are not in scope of classical purely analytical techniques and second that the induction times are shorter than in recent generate-and

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Leonid L. Khoroshko,Maxim A. Vikulin,Alexey L. Khoroshko techniques from the examples instead of being generated independently from the examples. A prototypical implementation shows first that programs are inducible which are not in scope of classical purely analytical techniques and second that the induction times are shorter than in recent generate-and

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Entisar Alhadi Al Ghawail,Sadok Ben Yahia,Joma Rajab Alrzinirmation on the whole program. Importantly, compositional reasoning also gives us a practical solution to handle native code, which may be unavailable or written in a different programming language. Namely, we can model the behavior of a native method by means of test cases and compositional reasonin