Auflistung nach Autor:in "Langer, Philip"
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- KonferenzbeitragAdaptable Model Versioning in Action(Modellierung 2010, 2010) Brosch, Petra; Kappel, Gerti; Seidl, Martina; Wieland, Konrad; Wimmer, Manuel; Kargl, Horst; Langer, PhilipIn optimistic versioning, multiple developers are allowed to modify an artifact at the same time. On the one hand this approach increases productivity as the development process is never stalled due to locks on an artifact. On the other hand conflicts may arise when it comes to merging the different modifications into one consolidated version. In general, the resolution of such conflicts is not only cumbersome, but also error-prone. Especially if the artifacts under version control are models, little support is provided by standard versioning systems. In this paper we present the enhanced versioning process of the model versioning system AMOR. We show how AMOR is configured in order to obtain a precise conflict report which allows the recommendation of automatically executable resolution patterns. The user of AMOR chooses either one of the recommendations or performs manual resolution. The manual resolution may be in collaboration with other developers and allows to infer new resolution patterns which may be applied in similar situations.
- ZeitschriftenartikelA Benchmark for Conflict Detection Components of Model Versioning Systems(Softwaretechnik-Trends: Vol. 33, No. 2, 2013) Langer, Philip; Wimmer, ManuelPhilip Langer and Manuel Wimmer Business Informatics Group Institute of Software Technology and Interactive Systems Vienna University of Technology {langer,wimmer}@big.tuwien.ac.at Abstract
- ZeitschriftenartikelA Benchmark for Model Matching Systems: The Heterogeneous Metamodel Case(Softwaretechnik-Trends: Vol. 33, No. 2, 2013) Wimmer, Manuel; Langer, PhilipManuel Wimmer and Philip Langer Business Informatics Group Institute of Software Technology and Interactive Systems Vienna University of Technology {wimmer,langer}@big.tuwien.ac.at Abstract
- ZeitschriftenartikelGeneric vs. Language-Specific Model Versioning(Softwaretechnik-Trends: Vol. 32, No. 4, 2012) Brosch, Petra; Langer, Philip; Seidl, Martina; Wimmer, Manuel; Kappel, GertiAdaptability to the Rescue
- KonferenzbeitragOn the Usage of UML: Initial Results of Analyzing Open UML Models(Modellierung 2014, 2014) Langer, Philip; Mayerhofer, Tanja; Wimmer, Manuel; Kappel, GertiWhile UML is recognized as the de-facto standard in modeling software systems, it is at the same time often criticized for being too large and complex. To be able to evolve UML to overcome this criticism, evidence is needed about which parts of UML are actually used. In this respect, a few studies exist that investigate which diagram types of UML are commonly used. However, to the best of our knowledge, in none of these studies, evidence is provided about which modeling concepts of UML are used. Thus, we quantitatively analyze UML models to determine on a fine granularity level the usage frequency of the modeling concepts provided by UML. In this paper, we present initial results of our analysis of 121 open UML models and compare our findings with the results reported in related studies about the usage of UML.
- KonferenzbeitragSemantic model differencing based on execution traces(Software-engineering and management 2015, 2015) Mayerhofer, Tanja; Langer, Philip; Kappel, GertiManaging the evolution of software artifacts is a crucial issue in software engineering. As in the software engineering paradigm model-driven engineering (MDE), the main software artifacts are models, managing the evolution of models constitutes a key concern in MDE. One important technique in this realm is model differencing, which is concerned with identifying differences among different versions of models. While the majority of existing model differencing approaches use a purely syntactic approach, we propose an approach that takes the semantics of models into account. In particular, our approach utilizes the behavioral semantics of the used modeling language to execute the models to be compared and obtain execution traces constituting the models' semantic interpretation. By comparing the obtained execution traces, semantic differences among the models are identified.