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), DSO, Google, Microsoft Research and ARM.

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Latest Publications

  • 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)

  • Computing Summaries of String Loops in C for Better Testing and Refactoring

    Timotej Kapus, Oren Ish-Shalom, Shachar Itzhaky, Noam Rinetzky, Cristian Cadar

    Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2019)

  • Mvedsua: Higher Availability Dynamic Software Updates via Multi-Version Execution

    Luís Pina, Anastasios Andronidis, Michael Hicks, Cristian Cadar

    24th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2019)

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