JDart: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution)

Mues, Malte; Howar, Falk

doi:10.1007/978-3-030-45237-7_28

Cited by 9 publications

(4 citation statements)

References 11 publications

(15 reference statements)

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“…We first entered SV-COMP 2020 with JDart. Our corresponding report gives a short overview of JDart's architecture and internals [9]. In this paper, we focus on the description of the following three improvements that were explicitly motivated by SV-COMP 2021 [2].…”

Section: Overviewmentioning

confidence: 99%

JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)

Mues

Howar

2021

Tools and Algorithms for the Construction and Analysis of Systems

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JDart performs dynamic symbolic execution of Java programs: it executes programs with concrete inputs while recording symbolic constraints on executed program paths. A portfolio of constraint solvers is then used for generating new concrete values from recorded constraints that drive execution along previously unexplored paths. For SV-COMP 2021, we improved JDart by implementing exploration strategies, bounded analysis, and path-specific constraint solving strategies, as well as by enabling the use of SMT-Lib string theory for encoding of string operations.

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Section: Overviewmentioning

confidence: 99%

JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)

Mues

Howar

2021

Tools and Algorithms for the Construction and Analysis of Systems

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“…For the SQL injections, we forked the OWASP WebGoat project 9 . OWASP WebGoat is an educational web application that allows to explain the basics of certain security vulnerabilities in a hands-on fashion.…”

Section: Course Designmentioning

confidence: 99%

“…Motivated by our own research background, the subset discussed in the course consists of tools based on symbolic execution [8]. We work intensively on a dynamic symbolic execution engine for Java called JDart [9], [10] and have a basic understanding of CBMC [11], a bounded model checker suitable for C programs. Both tools use similar high-level concepts in the analysis, while they implement those concepts quite differently, allowing for a discussion of different technical approaches.…”

Section: Introductionmentioning

confidence: 99%

Teaching a Project-Based Course at a Safe Distance: An Experience Report

Mues

Howar

2020

2020 IEEE 32nd Conference on Software Engineering Education and Training (CSEE&T)

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“…It can generate JUnit test suites that exercise all the program paths found by JDART. JDART was extended by Mues and Hower in 2020 [74] for the SV-COMP2020 competition [18].…”

Section: Chapter Theory Of Symbolic Executionmentioning

confidence: 99%

Analysing and Enhancing Static Software Quality Assurance Methods

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They tell me it's a suicide mission. I intend to prove them wrong." -Commander Shepard (Mass Effect) PrefaceIdeally, in these few paragraphs, I would write about how my interest in computing has defined my life since I was young. Unfortunately, this was not the case. In the absence of quality IT education, I encountered programming relatively late, in the second year of university. But then I fell in love with it immediately. Solving programming challenges is like writing a story and thinking about the structure of the plot or the motivation of the characters. I adore both activities. That is why I decided to choose software engineering as my profession. I longed to learn its tricks at the highest possible level, therefore, I enrolled for PhD studies. I hope that throughout my many years of work, I have contributed to science and universal human knowledge.This work could not have been finished without the help and support of my colleagues. I thank my supervisor, Dr. István Siket, for his professional help and advice. By reminding me of the deadlines, he was able to continuously motivate me even in the most hopeless situations. He could always make a comment that helped me through the challenges of research life. I would also like to thank Dr. Rudolf Ferenc, the head of the Software Engineering Department, for supporting me on my way to becoming a PhD student. I am grateful to my co-author, Zoltán Ságodi, with whom we fought our way through the difficulties of call graph comparison. It was a pleasure to explore the world of code smells shoulder to shoulder with my other co-author and partner in PhD studies, Péter Gál. I am also thankful to Dr. Judit Jász and Ervin Kóbor for the work we have done together. Many thanks to my dear friend, Edit Szűcs for her stylistic and grammatical comments on this thesis. With her humorous remarks, she was able to make even the tedious work of correcting grammar enjoyable.Finally, I would like to express my gratitude to my parents, and my friends, András, Timi, and Adrienn, who have supported me on this hard journey. I am also grateful to my cats, Azi and Pamat for waking me up early every morning during the difficult period of working from home.

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JDart: Dynamic Symbolic Execution for Java Bytecode (Competition Contribution)

Cited by 9 publications

References 11 publications

JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)

JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution)

Teaching a Project-Based Course at a Safe Distance: An Experience Report

Analysing and Enhancing Static Software Quality Assurance Methods

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