There has been more and more evidence that the usage of Semantic Web technologies leads to improvements in both the process and product of software and service development and management activities.

The goal of the SWESE workshops is to advance research on this this important area.
We believe that the informal nature of the workshop, located at one of the major events in service-oriented computing, will lead to further exchange between practitioners and researchers working on issues related to Semantic Web Enabled Software and Service Engineering by providing a forum for discussing the major challenges of the area and the different approaches being taken to resolve them.

Workshop Scope

During the last ten years, a number of successful attempts showed the advantages of Semantic Web technologies in software and service engineering including reusability and extensibility of data models, improvements in data quality and data integration, and discovery and automated execution of workflows.

The scope of the SWESE workshop is to investigate any potential benefits of using Semantic Web knowledge representations (ontologies) and reasoning technologies in service engineering, management, organization and implementation.

Topics of interest to the workshop include (but are not restricted to):

* Visions for Semantic Web driven software and service engineering
* Tools developed or being developed for software and service engineering using SW languages
* Integration or application development projects combining software engineering techniques and Semantic Web tools or languages
* Shortcomings with the Semantic Web with respect to software and service engineering
* Visions for SW driven software modernization
* Integration of model-driven architectures, programming languages and Semantic Web languages
* Integration of formal methods and Semantic Web languages
* Software specification and Semantic Web languages
* Software versioning control and Semantic Web
* Software debugging and Semantic Web
* Ontologies for software engineering
* Ontologies for service engineering and service specifications
* Ontologies for requirement engineering
* Ontologies for software guidance, traceability and maintenance
* Ontologies for service composition
* Component discovery and ontologies
* Feature modelling and ontologies
* Metamodel engineering
* Ontology reasoning for service engineering and management
* Semantic annotations in service engineering
* Transitioning legacy applications to ontologies
* Semantic-based intelligent assistance tools for software developers
* Lessons learnt and outstanding challenges for the usage of semantic technologies in service engineering and management
* Ontology-Driven Architecture: How to introduce Semantic Web technology into mainstream development processes
* Ontologies for supporting collaboration/coordination between developers
* Semantic-based information push for service engineering and management process
* Methods and tools for semantic-based event-driven interaction in service development
* Semantic Web based service marketplaces

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