| Title | Improved Invariant Generation for Industrial Software Model Checking of Time Properties |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Todorov, Vassil, Taha, Safouan, Boulanger, Frédéric, Hernandez, Armando |
| Conference Name | 2019 IEEE 19th International Conference on Software Quality, Reliability and Security (QRS) |
| Date Published | jul |
| Keywords | Authorization, automotive embedded software, composability, Embedded systems, formal methods, formal proof, formal specification, formal verification, industrial software model checking, invariant generation, model checking, model-based design tools, Production, pubcrawl, Safety, safety-critical properties, safety-critical software, Scalability, SMT solving, Software, software assurance, software verification, symbolic model checking, time properties, Tools, Writing |
| Abstract | Modern automotive embedded software is mostly designed using model-based design tools such as Simulink or SCADE, and source code is generated automatically from the models. Formal proof using symbolic model checking has been integrated in these tools and can provide a higher assurance by proving safety-critical properties. Our experience shows that proving properties involving time is rather challenging when they involve long durations and timers. These properties are generally not inductive and even advanced techniques such as PDR/IC3 are unable to handle them on production models in reasonable time. In this paper, we first present our industrial use case and comment on the results obtained with the existing model checkers. Then we present our invariant generator and methodology for selecting invariants according to physical dimensions. They enable the proof of properties with long-running timers. Finally, we discuss their implementation and benchmarks. |
| DOI | 10.1109/QRS.2019.00050 |
| Citation Key | todorov_improved_2019 |
Improved Invariant Generation for Industrial Software Model Checking of Time Properties