On the Customization of Components: A Rule-Based Approach

Abstract

Realizing the quality-of-service (QoS) requirements for a software system continues to be an important and challenging issue in software engineering. A software system may need to be updated or reconfigured to provide modified QoS capabilities. These changes can occur at development time or at runtime. In component-based software engineering, software systems are built by composing components. When the QoS requirements change, there is a need to reconfigure the components. Unfortunately, many components are not designed to be reconfigurable, especially in terms of QoS capabilities. It is often labor-intensive and error-prone work to reconfigure the components, as developers need to manually check and modify the source code. Furthermore, the work requires experienced senior developers, which makes it costly. The limitations motivate the development of a new rule-based semiautomated component parameterization technique that performs code analysis to identify and adapt parameters and changes components into reconfigurable ones. Compared with a number of alternative QoS adaptation approaches, the proposed rule-based technique has advantages in terms of flexibility, extensibility, and efficiency. The adapted components support the reconfiguration of potential QoS trade-offs among time, space, quality, and so forth. The proposed rule-based technique has been successfully applied to two substantial libraries of components. The F-measure or balanced F-score results for the validation are excellent, that is, 94 percent.

Auspice: Automatic Service Planning in Cloud/Grid Environments

“…Data derivation is made available immediately through a high-level keyword interface and abstraction of user-level workflow creation via automatic service composition. The aforementioned workflow managers require some user intervention involving definition of an abstract workflow template or recondite rules and goals for the planning algorithms in [133,178,148,185]. Another feature of our work involves the adaptability to QoS constraints.…”

User-Centric Energy Cost Analysis of Industrial Automation Systems

“…These are modeled in optimization rules that complement the optimization constraints [20]. These rules either define new codomains or restrict the codomains defined in the optimization constraints and allow further limitation by definition of a timely condition.…”