Software engineering is understood as a broad term linking science, traditional en- neering, art and management and is additionally conditioned by social and external factors (conditioned to the point that brilliant engineering solutions based on strong science, showing artistic creativity and skillfully managed can still fail for reasons beyond the control of the development team). Modern software engineering needs a paradigm shift commensurate with a change of the computing paradigm from: 1. Algorithms to interactions (and from procedural to object-oriented programming) 2. Systems development to systems integration 3.Products to services Traditional software engineering struggles to address this paradigm shift to inter- tions, integration, and services. It offers only incomplete and disconnected methods for building information systems with fragmentary ability to dynamically accom- date change and to grow gracefully. The principal objective of contemporary software engineering should therefore be to try to redefine the entire discipline and offer a complete set of methods, tools and techniques to address challenges ahead that will shape the information systems of the future.

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Evaluation of Novel Approaches to Software Engineering 2008.- Measuring Characteristics of Models and Model Transformations Using Ontology and Graph Rewriting Techniques.- On-the-Fly Testing by Using an Executable TTCN-3 Markov Chain Usage Model.- Language-Critical Development of Process-Centric Application Systems.- Balancing Business Perspectives in Requirements Analysis.- Using Fault Screeners for Software Error Detection.- Language Support for Service Interactions in Service-Oriented Architecture.- Evaluation of Novel Approaches to Software Engineering 2009.- Automating Component Selection and Building Flexible Composites for Service-Based Applications.- An Aspect-Oriented Framework for Event Capture and Usability Evaluation.- Implementing Domain Specific Process Modelling.- Bin-Packing-Based Planning of Agile Releases.- A Method to Measure Productivity Trends during Software Evolution.- Design Pattern Detection in Java Systems: A Dynamic Analysis Based Approach.- Formalization of the UML Class Diagrams.- Extended KAOS Method to Model Variability in Requirements.- Orthographic Software Modeling: A Practical Approach to View-Based Development.- Dynamic Management of the Organizational Knowledge Using Case-Based Reasoning.- Mapping Software Acquisition Practices from ISO 12207 and CMMI.- Concept Management: Identification and Storage of Concepts in the Focus of Formal Z Specifications.- A Model Driven Approach to Upgrade Package-Based Software Systems.- Coupling Metrics for Aspect-Oriented Programming: A Systematic Review of Maintainability Studies.- Revealing Commonalities Concerning Maintenance of Software Product Line Platform Components.- Service Based Development of a Cross Domain Reference Architecture.