Quality Attribute Design Primitives

Quality Attribute Design Primitives and the Attribute Driven Design Method

This paper discusses the understanding of quality attributes and their application to the design of a software architecture. We present an approach to characterizing quality attributes and capturing architectural patterns that are used to achieve these attributes. For each pattern, it is important not only how the pattern achieves a quality attribute goal but also what impact the pattern has on...

Analyzing Enterprise JavaBeans Systems Using Quality Attribute Design Primitives

A DEA-bases Approach for Multi-objective Design of Attribute Acceptance Sampling Plans

Acceptance sampling (AS), as one of the main fields of statistical quality control (SQC),involves a system of principles and methods to make decisions about accepting or rejecting alot or sample. For attributes, the design of a single AS plan generally requires determination ofsample size, and acceptance number. Numerous approaches have been developed foroptimally selection of design parameters...

Principles for Designing Software Architecture to Achieve Quality Attribute Requirements

I will describe the principles involved in the design of software architecture. The premise is that the design of software architecture is determined by the quality attributes requirements for a system. The quality attributes that we have focused on are: availability, modifiability, performance, security, and usability. I will discuss why quality attributes are important, how to specify quality...

Parallel visualization of gigabyte datasets in GeoFEM

Parallel visualization of large datasets in GeoFEM is described. Our visualization subsystem supports concurrent visualization with computation, and outputs a simplified small graphic primitive set, which can be displayed by a basic viewer on clients. This subsystem provides many kinds of parallel visualization algorithms for the users to visualize their data from scalar, vector to tensor. Scal...