The continuous demand for ever more complex software systems and the emergence of new computing platforms pose significant challenges for the reliability and security of software applications. The research of the Software Reliability Group (SRG) at Imperial College London focuses on designing novel techniques for improving the quality and dependability of software, with an emphasis on building practical tools for automatically finding software bugs, generating high-quality test suites, verifying the absence of certain types of bugs, and allowing applications to survive critical errors. Our research spans the areas of software engineering, software testing, computer systems and computer security, and has been generously sponsored by the UK Engineering and Physical Sciences Research Council (EPSRC), the European Research Council (ERC), DSO, Google, Microsoft Research and ARM.

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Latest Publications

  • Fine-grain Memory Object Representation in Symbolic Execution

    Martin Nowack

    IEEE/ACM International Conference on Automated Software Engineering (ASE 2019)

  • Compiler Fuzzing: How Much Does It Matter?

    Michael Marcozzi, Qiyi Tang, Alastair Donaldson, Cristian Cadar

    Proceedings of the ACM on Programming Languages (OOPSLA 2019)

  • Constraints in Dynamic Symbolic Execution: Bitvectors or Integers?

    Timotej Kapus, Martin Nowack, Cristian Cadar

    Conference on Tests and Proofs (TAP 2019)

  • Just Fuzz It: Solving Floating-point Constraints Using Coverage-guided Fuzzing

    Daniel Liew, Cristian Cadar, Alastair Donaldson, J. Ryan Stinnett

    European Software Engineering Conference / ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2019)

  • A Segmented Memory Model for Symbolic Execution

    Timotej Kapus, Cristian Cadar

    European Software Engineering Conference / ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2019)

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