Program Analysis and Transformation (PAT)

Course content

The automated processing of program texts is central to Computer Science. The prime example of such processing is traditional compilation of high-level to low-level languages ­–  including the necessary supporting analyses, whether for error-detection purposes, or in support of efficiency-improving program optimizations. But other instances of program analysis and/or transformation abound in both core programming-language work, and in support of adjoining disciplines, such as algorithmics or security.

The course introduces students to the principles and practice of automated program processing, covering both mainstream application areas, and selected more exotic applications.

Education

MSc Programme in Computer Science

Learning outcome

At course completion, the successful student will have:

Knowledge of:

  • Static program analysis paradigms, including abstract interpretation and type-based analyses.
  • Applications areas of automated program analysis, including optimization, verification, and information security.
  • Principles of semantics-based program transformation
  • Applications of program transformation, including translation, synthesis, and maintenance.
  • Software systems and tools supporting analyses and transformations.
  • Selected examples of advanced analyses and/or transformations.

 

Skills to:

  • Decide and argue correctness and other properties of a range of analysis and transformation algorithms.
  • Concretely realize analysis and transformation algorithms from their abstract descriptions.

 

Competences to:

  • Design and implement systems for automated processing of programs expressed in both general-purpose and domain-specific languages.

 

Lectures, exercises, mandatory assignments

Articles and notes.

Basic knowledge of the principles of programming language implementation (as found in an undergraduate-level compilers course), operational semantics and type systems (corresponding to "Semantics and Types", or similar), and practical programming skills in a functional language (e.g., Haskell, as used in "Advanced Programming") will be expected.

ECTS
7,5 ECTS
Type of assessment
Continuous assessment
Continuous evaluation based on 4-6 assignments, covering both theory and programming
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners.
Criteria for exam assessment

See learning outcomes.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 16
  • Exercises
  • 30
  • Preparation
  • 60
  • Project work
  • 100
  • English
  • 206