inf481 - Software Analysis (Complete module description)

inf481 - Software Analysis (Complete module description)

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Module label Software Analysis
Module code inf481
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Master's Programme Computing Science (Master) > Theoretische Informatik
Responsible persons
  • Wehrheim, Heike (module responsibility)
  • Lehrenden, Die im Modul (authorised to take exams)
Prerequisites
Skills to be acquired in this module

Software analyses extract facts about programs from source code. Such facts can be employed by compilers to optimize programs during compilation, but can also be used to verify correctness of programs. The students get to know different analysis methods, specify such techniques themselves and implement them.
Professional competences
The students:

  • get to know data flow analysis and specify them
  • name the components of data flow systems
  • know when to apply widening operators in an analysis
  • are able to develop abstract domains and operators for abstract interpretation
  • know predicate abstraction and the principle of counterexample-guided abstraction refinement
  • know when and how to apply SSA forms
  • are able to judge the precision and scalability of points-to analyses


Methodological competences
The students:

  • are able to formally define analyses
  • are able to prove properties of analyses
  • are able to implement analysis


Social competences
The students:

  • work on tasks in groups and discuss solutions
  • implement analyses in groups.


Self-competences
The students:

  • organize their own work for the course
Module contents
  • Data flow analyses
  • Abstract interpretation
  • Predicate abstraction, CEGAR
  • SSA forms
  • Slicing
  • Points-to analysis
  • Symbolic execution
Recommended reading
  • Nielson, Nielson, Hankin: Principles of Program Analysis, Springer, 2004.
Links
Language of instruction German
Duration (semesters) 1 Semester
Module frequency every second summer term
Module capacity unlimited
Teaching/Learning method V+Ü
Previous knowledge Nützliche Vorkenntnisse:

Mengenlehre, Aussagen- und Prädikatenlogik, Programmierung in einer imperativen Sprache
Type of course Comment SWS Frequency Workload of compulsory attendance
Lecture 2 SuSe 28
Exercises 2 SuSe 28
Total module attendance time 56 h
Examination Prüfungszeiten Type of examination
Final exam of module

at the end of the term

Written or oral Exam