Name
Abstract | ||
|---|---|---|
Dynamically evolving systems are characterized by components that can be inserted or removed while the system is being operated leading to unsafe run-time changes that may compromise a correct execution. To mitigate the effects of such a failure we propose an online analysis technique that admit an integration "a-priori" and a monitoring of the run-time behaviour to provide information about possible errors when these can happen. Our Cassandra technique proposes a novel run-time monitoring and verification algorithm with the ability to predict potential failures that can happens in future states of the systems. Cassandra combines design-time and run-time information. Both are used to identify the current execution state, and to drive the construction of predictions that look to a number k of steps ahead of the current execution state. This paper provides a detailed formalization of the technique then it introduces a formal definition of the Cassandra algorithms and reports some complexity measures. Finally the paper closes with a description of a first concrete implementation of the approach, and its evaluation. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11737-9_8 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Evolving systems,Data mining,Online analysis,Software engineering,Computer science,Formal description,Theoretical computer science,Compromise | Conference | 8829 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.39 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco De Angelis | 1 | 160 | 18.09 |
| Maria Rita Di Berardini | 2 | 2 | 0.39 |
| Henry Muccini | 3 | 1185 | 92.63 |
| Andrea Polini | 4 | 522 | 52.37 |