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We present an algorithm for tests generation tools based on symbolic execution. The algorithm is supposed to help in situations, when a tool is repeatedly failing to cover some code by tests. The algorithm then provides the tool a necessary…

Symbolic Computation · Computer Science 2011-12-21 Marek Trtík

This article discusses a new technique to automatically generate test cases for object oriented programs. At the state of the art, the problem of generating adequate sets of complete test cases has not been satisfactorily solved yet. There…

Software Engineering · Computer Science 2020-05-20 Matteo Modonato

Symbolic models have been used as the basis of a systematic framework to address control design of several classes of hybrid systems with sophisticated control objectives. However, results available in the literature are not concerned with…

Systems and Control · Electrical Eng. & Systems 2020-05-22 Abdalla Swikir , Antoine Girard , Majid Zamani

Automated test generation based on symbolic execution can be beneficial for systematically testing safety-critical software, to facilitate test engineers to pursue the strict testing requirements mandated by the certification standards,…

Software Engineering · Computer Science 2022-09-23 Elson Kurian , Daniela Briola , Pietro Braione , Giovanni Denaro

We present a generalisation of King's symbolic execution technique called compact symbolic execution. It is based on a concept of templates: a template is a declarative parametric description of such a program part, generating paths in…

Software Engineering · Computer Science 2012-01-31 Marek Trtík

We present a symbolic-execution-based algorithm that for a given program and a given program location produces a nontrivial necessary condition on input values to drive the program execution to the given location. We also propose an…

Software Engineering · Computer Science 2016-12-13 Jan Strejček , Marek Trtík

Generative models for source code are an interesting structured prediction problem, requiring to reason about both hard syntactic and semantic constraints as well as about natural, likely programs. We present a novel model for this problem…

Machine Learning · Computer Science 2019-04-18 Marc Brockschmidt , Miltiadis Allamanis , Alexander L. Gaunt , Oleksandr Polozov

We present a generalisation of King's symbolic execution technique called compact symbolic execution. It proceeds in two steps. First, we analyse cyclic paths in the control flow graph of a given program, independently from the rest of the…

Programming Languages · Computer Science 2013-09-18 Jiří Slabý , Jan Strejček , Marek Trtík

Symbolic execution is a successful and very popular technique used in software verification and testing. A key limitation of symbolic execution is in dealing with code containing loops. The problem is that even a single loop can generate a…

Programming Languages · Computer Science 2011-07-08 Jan Obdrzalek , Marek Trtik

Recently virtual platforms and virtual prototyping techniques have been widely applied for accelerating software development in electronics companies. It has been proved that these techniques can greatly shorten time-to-market and improve…

Software Engineering · Computer Science 2016-01-25 Bin Lin , Dejun Qian

Time-delay systems are an important class of dynamical systems which provide a solid mathematical framework to deal with many application domains of interest ranging from biology, chemical, electrical, and mechanical engineering, to…

Dynamical Systems · Mathematics 2009-03-28 Giordano Pola , Pierdomenico Pepe , Maria D. Di Benedetto , Paulo Tabuada

Automated testing tools typically create test cases that are different from what human testers create. This often makes the tools less effective, the created tests harder to understand, and thus results in tools providing less support to…

Software Engineering · Computer Science 2021-03-09 Eduard Enoiu , Robert Feldt

Today statecharts are a de facto standard in industry for modeling system behavior. Test data generation is one of the key issues in software testing. This paper proposes an reduction approach to test data generation for the state-based…

Software Engineering · Computer Science 2012-08-14 Ranjita Kumari Swain , Prafulla Kumar Behera , Durga Prasad Mohapatra

The automatic generation of decision trees based on off-line reasoning on models of a domain is a reasonable compromise between the advantages of using a model-based approach in technical domains and the constraints imposed by embedded…

Artificial Intelligence · Computer Science 2011-06-28 L. Console , C. Picardi , D. Theseider Duprè

Symbolic execution is a well established method for test input generation. Despite of having achieved tremendous success over numerical domains, existing symbolic execution techniques for heap-based programs are limited due to the lack of a…

Software Engineering · Computer Science 2019-09-17 Long H. Pham , Quang Loc Le , Quoc-Sang Phan , Jun Sun , Shengchao Qin

Agent-based models play an important role in simulating complex emergent phenomena and supporting critical decisions. In this context, a software fault may result in poorly informed decisions that lead to disastrous consequences. The…

Software Engineering · Computer Science 2021-03-19 Andrew G. Clark , Neil Walkinshaw , Robert M. Hierons

Synchronous systems provide a basic model of embedded systems and industrial systems are modeled as Simulink diagrams and/or Lustre programs. Although the test generation problem is critical in the development of safe systems, it often…

Software Engineering · Computer Science 2021-12-13 Daisuke Ishii , Takashi Tomita , Kenji Onishi , Toshiaki Aoki

Many security and software testing applications require checking whether certain properties of a program hold for any possible usage scenario. For instance, a tool for identifying software vulnerabilities may need to rule out the existence…

Software Engineering · Computer Science 2018-05-03 Roberto Baldoni , Emilio Coppa , Daniele Cono D'Elia , Camil Demetrescu , Irene Finocchi

Symbolic execution is a widely used technique for test generation, offering systematic exploration of program paths through constraint solving. However, it is fundamentally constrained by the capability to model the target code, including…

Software Engineering · Computer Science 2026-02-12 Yaoxuan Wu , Xiaojie Zhou , Ahmad Humayun , Muhammad Ali Gulzar , Miryung Kim

There are two classes of generative art approaches: neural, where a deep model is trained to generate samples from a data distribution, and symbolic or algorithmic, where an artist designs the primary parameters and an autonomous system…

Artificial Intelligence · Computer Science 2020-07-07 Gunjan Aggarwal , Devi Parikh
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