# SYSTEMS VERIFICATION - 2019/0

Module code: COM3028

In light of the Covid-19 pandemic, and in a departure from previous academic years and previously published information, the University has had to change the delivery (and in some cases the content) of its programmes, together with certain University services and facilities for the academic year 2020/21.

These changes include the implementation of a hybrid teaching approach during 2020/21. Detailed information on all changes is available at: https://www.surrey.ac.uk/coronavirus/course-changes. This webpage sets out information relating to general University changes, and will also direct you to consider additional specific information relating to your chosen programme.

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Module Overview

The course is an introduction in formal methods for system specification and verification.

It will focus on logic-based formalisms and techniques, and specifically on model checking.

The main logics taught will be temporal logics, which are mainstream in verification, especially analysis of hardware systems.

Other logics and verification techniques (such as theorem proving) will be included to a smaller extended.

Model checkers will be used in the labs, on different system-verification problems.

Elements of building model checking tools will be presented and explored.

Some elements of advanced verification techniques (e.g., abstraction) will be mentioned.

Module provider

Computer Science

Module Leader

BOUREANU Ioana (Computer Sci)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 6

JACs code: I100

Module cap (Maximum number of students): N/A

Module Availability

Semester 2

Prerequisites / Co-requisites

Basic discrete maths (sets, functions, etc.) -- COM1026 Basic propositional calculus -- COM1026 Basic first-order logic -- COM1026 Basic C/C++ programming -- COM2040

Module content

The content (topics of lectures, tutorials and labs) follow:

1. Introduction + Introduction to System Verification

2. Basic Modal Concepts

**Tutorial **-- Modal specifications and satisfaction

3. The logics LTL and CTL

**Tutorial **-- LTL and CTL

4. The logics LTL vs CTL cont'd (expressivity) + The logic of CTL*

**Tutorial** **3** -- LTL and CTL (cont’d)

5. Advanced Temporal Specifications Examples

**Lab ** -- on the introduction to a model checker

6. System-Modelling Examples

7. Explicit Model Checking

**Tutorial ** -- Explicit model checking

8. Binary Decision Diagrams (BDDs)

**Tutorial ** -- Binary Decision Diagrams

** Lab ** -- on using/manipulating BDDs

9. Symbolic Model Checking

**Lab 3** -- on further, more advanced usage of a model checker

10. Non-classical Logics - Part I

11. Non-classical Logics - Part II

12. Revision week

Assessment pattern

Assessment type | Unit of assessment | Weighting |
---|---|---|

Coursework | Coursework 1 | 15 |

Coursework | Coursework 2 | 15 |

Examination | Final exam | 70 |

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate that they have achieved the module learning outcomes.

Thus, the __summative assessment__ for this module consists of:

· First individual coursework on temporal logic and explicit model checking. This addresses LO1 and LO2.

· Second individual coursework on applied non-classical logics, symbolic model checking of temporal logics and/or other verification techniques for applied logics (e.g., program verification with Hoare logic) . This addresses LO1 and LO2.

· A 2h unseen examination on the whole course content. This addresses LO1, LO2, LO3, LO4.

The individual pieces of coursework will be due around week 5 and 10 respectively. There will be five labs and the best four submissions of the total five will be considered towards the lab component of the mark. The exam will take place at the end of the semester during the exam period.

__Formative assessment and feedback__

1. PollEverywhere or other interactive polling methods will be used in the lectures with each lecture consisting of a number of slides explaining the theory followed by a number of slides gauging the students’ understanding. The answers are discussed when necessary, e.g., if a high proportion (more than 25%) of the students got the answer wrong.

2. Individual formative feedback will also be given during the lab sessions, and as part of the summative assessment.

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__Assessment & Assessment Strategy: Executive Summary__

Coursework 1 (15%) -- take-home work, testing learning outcomes 1 and 2

Coursework 2 (15%) -- take-home work, testing learning outcomes 1 and 2

Final exam (70%) -- unseen written piece of examination in the exam period, testing learning outcomes 1, 2, 3 and 4

Module aims

- Introducing formal methods for system specification and verification
- Focus on logic-based techniques for system verification, particularly model checking
- Give a flavour of advanced model checking techniques and of other verification methods, such as theorem proving

Learning outcomes

Attributes Developed | ||
---|---|---|

001 | Understand the use of temporal logic and, to some extend, other logics as formal specification languages | KCT |

002 | Understand and use verification algorithms such as the ones based on SAT (satisfiability of logic formulae) and/or using ordered-binary-decision diagrams | KCPT |

003 | Learn how to use of a model checker and, potentially, a theorem prover to verify systems against formal specifications | KCP |

004 | Appreciate the limitations of current techniques and develop a basic understanding of research directions in this space | KC |

Attributes Developed

**C** - Cognitive/analytical

**K** - Subject knowledge

**T** - Transferable skills

**P** - Professional/Practical skills

Overall student workload

Independent Study Hours: 110

Lecture Hours: 24

Tutorial Hours: 6

Laboratory Hours: 10

Methods of Teaching / Learning

The l__earning and teaching strategy__ is designed to develop a critical understanding of the foundations of systems verification, facilitating self-directed further studying in this field.

The skills learned in this module will be transferable to other verification techniques, such as program analysis.

Also developing critical thinking is at the core of this module.

The __learning and teaching method__s include:

- Twenty-four hours of lectures with class discussion
- Ten hours of tutorials
- Six hours of lab classes
- Use of an online forum for facilitated discussion

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

Reading list for SYSTEMS VERIFICATION : http://aspire.surrey.ac.uk/modules/com3028

Other information

REFERENCES:

- Michael Huth and Mark Ryan. 2004. Logic in Computer Science: Modelling and Reasoning about Systems. Cambridge University Press, New York, NY, USA.
- Tobias Nipkow and Gerwin Klein. 2014. Concrete Semantics: With Isabelle/HOL. Springer Publishing Company.
- Ronald Fagin, Joseph Y. Halpern, Yoram Moses, and Moshe Y. Vardi. 2003. Reasoning about Knowledge. MIT Press, Cambridge, MA, USA.

Programmes this module appears in

Programme | Semester | Classification | Qualifying conditions |
---|---|---|---|

Computer Science BSc (Hons) | 2 | Optional | A weighted aggregate mark of 40% is required to pass the module |

Computing and Information Technology BSc (Hons) | 2 | Optional | A weighted aggregate mark of 40% is required to pass the module |

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.