Object-oriented software construction (2nd ed.)
Object-oriented software construction (2nd ed.)
Reliability prediction for component-based software architectures
Journal of Systems and Software - Special issue on: Software architecture - Engineering quality attributes
Enforcing a lips Usage Policy for CORBA Components
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
QoS-aware model driven architecture through the UML and CIM
Information Systems Frontiers
Compositional Prediction of Timed Behaviour for Process Control Architecture
QoSA '09 Proceedings of the 5th International Conference on the Quality of Software Architectures: Architectures for Adaptive Software Systems
Monitoring probabilistic properties
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
An effective sequential statistical test for probabilistic monitoring
Information and Software Technology
Methodological Review: A review of causal inference for biomedical informatics
Journal of Biomedical Informatics
Runtime prediction of queued behaviour
QoSA'06 Proceedings of the Second international conference on Quality of Software Architectures
Causal inference with rare events in large-scale time-series data
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
| Hi-index | 0.00 |
It is now recognized that nonfunctional properties are important to practical software development and maintenance. Many of these properties involve involving time and probabilities – for example, reliability and availability. One approach to ensuring conformance to nonfunctional requirements is the use of runtime monitoring. Currently, such monitoring is done in one of two ways: 1) monitoring through use of a generic tool or 2) by adding instrumentation code within system software and writing a tool to manage resulting datasets. The first approach is often not flexible while the second approach can lead to a higher development cost. In this paper, we present a flexible framework for runtime verification of timed and probabilistic nonfunctional properties of component-based architectures. We describe a Microsoft .NET-based implementation of our framework built upon the Windows Management Instrumentation (WMI) infrastructure and the Distributed Management Task Force’s Common Information Model standard. We use a language for contracts based on Probabilistic Computational Tree Logic (PCTL). We provide a formal semantics for this language based on possible application execution traces. The semantics is generic over the aspects of an application that are represented by states and transitions of traces. This enables us to use the language to define a wide range of nonfunctional properties.