Component-based development has become a commonly used technique for building complex software systems by composing a set of existing components. In general adapting an application means stopping the application and restarting it after the adaptation. This approach is not suitable for a large classes of software systems in which continuous availability is a critical requirement, hence the need ...

Mismatches between pre-qualified existing components and the particular reuse context in applications have been a major factor hindering component reusability and successful composition. Although component adaptation has acted as a key solution of eliminating these mismatches, deep adaptation is often either impossible or incurring heavy overheads in the components. This paper proposes an appro...

One of the main challenges of developing self-adaptive systems in open environments comes from uncertain self-adaptation requirements due to the unpredictability of environment changes and its co-existence with well-defined self-adaptation requirements in self-adaptive systems. This paper presents an integrated approach that combines off-line and on-line self-adaptation together in a unified te...

In this paper we present experimental assessment of a dynamic adaptation of an approach for sentiment classification of tweets. Specifically, this approach enables a dynamic adaptation of the parameters used for three-class classification with a binary SVM classifier. The approach is suited for incremental active learning scenarios in domains with frequent concept alterations and changes. Our t...

Dynamic adaptation of a system enables it to integrate modifications in a transparent way for its users. These modifications are due to various needs such as masking failures, applying performance but also adapting to variable run-time conditions or to functional evolution of the application components. We propose a classification of the dynamic adaptation according to kinds, characteristics an...

This paper describes the enhancement of the Water Cycle Algorithm (WCA) using a fuzzy inference system to adapt its parameters dynamically. The original WCA is compared regarding performance with the proposed method called Water Cycle Algorithm with Dynamic Parameter Adaptation (WCADPA). Simulation results on a set of well-known test functions show that the WCA can be improved with a fuzzy dyna...

Ontologies are usually considered as static data structures representing conceptual knowledge of humans. For certain types of applications it would be desirable to develop an algorithmic adaptation process that allows dynamic modifications of the ontology in the case new information is available. Dynamic updates can generate conflicts between old and new information resulting in inconsistencies...

Current rate selection algorithms are dominated by probebased approaches that search for the best transmission rate using trial-and-error. When operating over a dynamic channel, probe-based techniques can perform poorly since they inefficiently search for the moving target presented by the constantly changing channel. We have developed a channelaware rate adaptation algorithm CHARM that respond...

Survivability, the ability of a system to tolerate intentional attacks or accidental failures or errors, is becoming increasingly important with the extended use of computer systems in society. While techniques such as cryptographic methods, intrusion detection, and traditional fault tolerance are currently being used to improve the survivability of such systems, new approaches are needed to he...

Many neural systems extend their dynamic range by adaptation. We examine the timescales of adaptation in the context of dynamically modulated rapidly-varying stimuli, and demonstrate in the fly visual system that adaptation to the statistical ensemble of the stimulus dynamically maximizes information transmission about the time-dependent stimulus. Further, while the rate response has long trans...