E-Book, Englisch, 294 Seiten, eBook
Reussner / Mayer / Stafford Quality of Software Architectures and Software Quality
2005
ISBN: 978-3-540-32056-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
First International Conference on the Quality of Software Architectures, QoSA 2005 and Second International Workshop on Software Quality, SOQUA 2005, Erfurt, Germany, September, 20-22, 2005, Proceedings
E-Book, Englisch, 294 Seiten, eBook
Reihe: Programming and Software Engineering
ISBN: 978-3-540-32056-2
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Keynotes.- Reexamining the Role of Interactions in Software Architecture.- Are Successful Test Cases Useless or Not?.- QoSA Long Papers.- DoSAM – Domain-Specific Software Architecture Comparison Model.- An Architecture-Centric Approach for Producing Quality Systems.- A Model-Oriented Framework for Runtime Monitoring of Nonfunctional Properties.- Predicting Mean Service Execution Times of Software Components Based on Markov Models.- An XML-Based Language to Support Performance and Reliability Modeling and Analysis in Software Architectures.- Formal Definition of Metrics Upon the CORBA Component Model.- The Architect’s Dilemma – Will Reference Architectures Help?.- Architectural Reuse in Software Systems In-house Integration and Merge – Experiences from Industry.- Supporting Security Sensitive Architecture Design.- Exploring Quality Attributes Using Architectural Prototyping.- On the Estimation of Software Reliability of Component-Based Dependable Distributed Systems.- Empirical Evaluation of Model-Based Performance Prediction Methods in Software Development.- SOQUA Long Papers.- Automatic Test Generation for N-Way Combinatorial Testing.- Automated Generation and Evaluation of Dataflow-Based Test Data for Object-Oriented Software.- Automated Model-Based Testing of ? Simulation Models with TorX.- Jartege: A Tool for Random Generation of Unit Tests for Java Classes.- FlexTest: An Aspect-Oriented Framework for Unit Testing.- Quality Assurance in Performance: Evaluating Mono Benchmark Results.