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A specification language for static analysis of student exercises

Authors: Goedicke, Michael; Köllmann, Carsten;

A specification language for static analysis of student exercises

Abstract

In this paper we use formal software engineering techniques to support one of the most difficult steps in software engineering: learning to use a programming language. In order to support numerous exercises of a large number of students some automatic support for checking the solutions and providing hints for the occurrence of erroneous code fragments is highly desirable to help students doing their work. For such support a specification language to describe search patterns for typical solution patterns in student exercises has been created. This language especially supports the structured description of complex search patterns. The specified patterns are transformed into graph rules, which are applied to student solutions in our testing support environment. The approach extends the work we presented in [5]. In addition to the application areas described here the search for a class of structures can be used in other areas like the check for design patterns or looking for code fragments where refactorings can be applied.

Keywords

Informatik, Wirtschaftswissenschaften

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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