Logo des Repositoriums

Auflistung nach Autor:in "Look, Markus"

1 - 2 von 2
  • Konferenzbeitrag
    Tunit - unit testing for template-based code generators
    (Modellierung 2016, 2016) Kolassa, Carsten; Look, Markus; Müller, Klaus; Roth, Alexander; Reiß, Dirk; Rumpe, Bernhard
    Template-based code generator development as part of model-driven development (MDD) demands for strong mechanisms and tools that support developers to improve robustness, i.e., the desired code is generated for the specified inputs. Although different testing methods have been proposed, a method for testing only parts of template-based code generators that can be employed in the early stage of development is lacking. Thus, in this paper we present an approach and an implementation based on JUnit to test template-based code generators. Rather than testing a complete code generator, it facilitates partial testing by supporting the execution of templates with a mocked environment. This eases testing of code generators in early stages of development as well as testing new or changed parts of a code generator. To test the source code generated by the templates under test, different methods are presented including string comparisons, API-based assertions, and abstract syntax tree based assertions.
  • Konferenzbeitrag
    Visualizing MDD Projects
    (Software Engineering 2017, 2017) Greifenberg, Timo; Look, Markus; Rumpe, Bernhard
    Visualizing information enables humans to capture, understand, and analyze them in an efficient way. Tools providing such visualization possibilities are omnipresent in software develop- ment processes and still subject to current research. While visualization is widely tried in classical software development, the application to MDD is much less common, but still desperately needed. In this paper we outline an integrated and pervasive visualization approach for artifacts and software engineering tools as well as their static and dynamic dependencies by employing, extending, and combining well established visualization approaches to the MDD domain.