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Evaluating the effectiveness of multi-level greedy modularity clustering for software architecture recovery
(Springer Nature, 2019)
Software architecture recovery approaches mainly analyze various types of dependencies among software modules to group them and reason about the high-level structural decomposition of a system. These approaches employ a ...
Incremental analysis of large-scale system logs for anomaly detection
(IEEE, 2019)
Anomalies during system execution can be detected by automated analysis of logs generated by the system. However, large scale systems can generate tens of millions of lines of logs within days. Centralized implementations ...
Evaluation of distributed machine learning algorithms for anomaly detection from large-scale system logs: a case study
(IEEE, 2018)
Anomaly detection is a valuable feature for detecting and diagnosing faults in large-scale, distributed systems. These systems usually provide tens of millions of lines of logs that can be exploited for this purpose. ...
Towards a testing framework with visual feedback for actor-based systems
(IEEE, 2018-08-02)
We introduce a prototype testing framework as an extension of JUnit for testing actor-based systems. Our framework runs a given JUnit test in various schedules and records the execution trace for each run. In case a failure ...
An architecture viewpoint for modeling dynamically configurable software systems
(Elsevier, 2017-01-01)
Current software systems are rarely static and need to be able to change their topology and behavior to the changing context. To support the communication among stakeholders, guide the design decisions, and analyze the ...
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