Quality of Software Architectures and Software Quality 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 /
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | , , , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
|
Σειρά: | Lecture Notes in Computer Science,
3712 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.