Model-Based Rule Engine for the Reconstruction of Component-Based Software Architectures for Quality Prediction

Vortragende(r)	Nico Peter
Vortragstyp	Masterarbeit
Betreuer(in)	Yves Kirschner
Termin	Fr 19. Februar 2021
Vortragssprache
Vortragsmodus
Kurzfassung	With architecture models, software developers and architects are able to enhance their documentation and communication, perform architecture analysis, design decisions and finally with PCM, can start quality predictions. However, the manual creation of component architecture models for complex systems is difficult and time consuming. Instead, the automatic generation of architecture models out of existing projects saves time and effort. For this purpose, a new approach is proposed which uses technology specific rule artifacts and a rule engine that transforms the source code of software projects into a model representation, applies the given rules and then automatically generates a static software architecture model. The resulting architecture model is then usable for quality prediction purposes inside the PCM context. The concepts for this approach are presented and a software system is developed, which can be easily extended with new rule artifacts to be useful for a broader range of technologies used in different projects. With the implementation of a prototype, the collection of technology specific rule sets and an evaluation including different reference systems the proposed functionality is proven and a solid foundation for future improvements is given.

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