Formal Methods

Logical errors in computer hardware and software can have significant economic and societal impact, while errors in the embedded systems that are increasingly used in safety-critical applications like “drive-by-wire” and implantable medical devices, can lead to loss of human life. Our formal methods group aims to help hardware and software engineers build more reliable systems through model checking — a technique that relies on building a finite model of a system and checking that a desired property holds in that model. The technical challenge in model checking is in devising algorithms and data structures that allow us to handle large search spaces. Model checking is fast, automatic, and supports partial specifications. Above all, it produces counterexamples, which usually represent subtle errors in design and can aid in debugging.

At Carnegie Mellon we promote lightweight formal methods. Rather than try to specify all properties of an entire system and attempt to do a complete proof of correctness, we advocate specifying critical properties of a critical part of a system and focus on finding errors. “Spec ’n Check” is our mantra. Our techniques scale beyond what people can do by hand and avoid fallibility of human reasoning.

Faculty working in this area:

Last First Title Emailsort descending
Aldrich Jonathan Director, Software Engineering Ph.D. Program; Professor
Platzer André Associate Professor
Brookes Stephen Professor
Bryant Randy University Professor
Brumley David Director, Cylab; Professor, ECE; Associate Professor, CSD
Clarke Edmund University Professor, Emeritus
Garlan David Professor
Hoffmann Jan Assistant Professor
Wing Jeannette Consulting Professor
Fredrikson Matthew Assistant Professor
Simmons Reid Research Professor
Harper Robert Professor
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