This is the website of a past course.
The next course in the ALP series is ALP 2012.
This course is regularly offered in the summer semester, as part of the ICM track of the CS Master's program. The course number in the master module handbook is MA-INF 3207. It should be preferably attended in the second semester of your studies. The course can also be attended by diploma students.
|Date||Weekly, from April 6 to July 13 (except for June 15 and July 6)|
|Place||Room A207, on the second floor of the “Altbau”, Römerstr. 164.|
|Course number (Module handbook)||MA-INF 3207|
|Course number (BASIS)||612113207 (Course) and 612213207 (Exercises)|
|Credit points||6 = 2 (Course) + 4 (Exercises)|
|Diploma category||B (DPO 1998) / B3 (DPO 2003)|
|Exam: Requirements||Formal requirements|
|Exam: Date, Time, Place||See calendar overview sent to the alp_course list.|
|Lecturer||Dr. Günter Kniesel|
This course adresses people interested in software quality. It shows how very powerful software analysis (for assessing software quality or emerging problems) and software transformation (for automating correction of identified problems) can be built on the basis of declarative model transformation infrastructures that go beyond classical logic programming. In particular, we analyse and transform Java programs using JTransformer.
Since this is an advanced course, we will not spend too much time on logic programming foundations – just a few short sessions that should make you familiar with the used development environment, help you refresh prior knowledge and make sure that all course participants have a comparable starting level. If you have no background in logic programming you will need to invest more time in this initial phase.
The course will lay the foundations for a logic programming representation of arbitrary software systems and will introduce JTransformer as a tool that automatically generates such a representation for arbitrary Java programs. With JTransformer, we will implement various software quality analyses. These analyses will be the use cases that motivate the need for the different advanced logic programming techniques that will gradually be introduced (for instance, metaprogramming, abstract interpretation and partial evaluation).
Finally we will learn about the approach of classic Prolog systems to program transformation, analyse its risks and embrace the alternative concept of “conditional transformations” implemented in the CTC and JTransformer.
Summarizing, you will learn new things in three different areas: