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Validation and Verification (COMP0103)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Computer Science
Credit value
15
Restrictions
Module delivery for UG Masters (FHEQ Level 7) available on MEng Computer Science; MEng Mathematical Computation. Module delivery for PGT (FHEQ Level 7) available on MSc Artificial Intelligence and Data Engineering; MSc Software Systems Engineering.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Aims:

The module will train students in the principles and techniques of validating and verifying software systems. The training will be intellectually demanding and will cover not only the state-of-the practice in validation and verification, but also the most significant trends, problems and results in validation and verification research.

Intended learning outcomes:

On successful completion of the module, a student will be able to:

  1. Understand correctness, consistency, faults and failures, static analysis and testing
  2. Understand the use of logic as a formal language for the specification of systems.
  3. Understand the use of symbolic execution.
  4. Verify simple systems.
  5. Understand the range of approaches to testing that can be applied to software systems.
  6. Undertake both black-box and white-box (unit-level) testing.
  7. Appreciate the limitations of the current tools and have insights into ongoing research topics to overcome them.

Indicative content:

The following are indicative of the topics the module will typically cover:

Basic concepts:

  • Software engineering lifecycle context.
  • Correctness.
  • Soundness and completeness.
  • Faults.
  • Errors.
  • Failures.
  • Static and dynamic analysis.

Validation:

  • Kinds of testing (unit, functional, integration, system, acceptance, regression).
  • Black box and White box testing.
  • Input partitioning and Random Testing.
  • Coverage and Structural Testing.
  • Mutation Testing.
  • Regression Testing.

Verification:

  • Propositional and Predicate Logic.
  • Specifying and verifying programs.
  • Symbolic Execution.
  • Hoare Logic.

Reading: Selected surveys, research papers, and book chapters.

Requisites:

To be eligible to select this module as an optional or elective, a student must: (1) be registered on a programme and year of study for which it is a formally available; and (2) have a background equivalent to Years 1 and 2 of BSc/ MEng Computer Science at Ïã¸ÛÁùºÏ²Ê.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
60% Exam
40% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
5
Module leader
Dr Earl Barr
Who to contact for more information
cs.pgt-students@ucl.ac.uk

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
60% Exam
40% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
50
Module leader
Dr Earl Barr
Who to contact for more information
cs.pgt-students@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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