Taguchi approach for performance evaluation of service-oriented software systems.

Service-oriented software systems are becoming increasingly common in the world today as big companies such as Microsoft and IBM advocate approaches focusing on assembly of system from distributed services. Although performance of such systems is a big problem, there is surprisingly an obvious lack of attention for evaluating the performance of enterprise-scale, service-oriented software systems. This thesis investigates the application of statistical tools in performance engineering domain for total quality management. In particular, the Taguchi approach is used as an efficient and systematic way to optimize designs for performance, quality, and cost. The aim is to improve the performance of software systems and to reduce application development cost by assembling services from known vendors or intranet services. The focus of this thesis is on the response time of service-oriented systems. Nevertheless, the developed methodology also applies to other performance issues, such as memory management and caching. The interaction problems of those issues are preserved for future work.Dept. of Computer Science. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .L585. Source: Masters Abstracts International, Volume: 43-01, page: 0240. Adviser: Xiaobu Yuan. Thesis (M.Sc.)--University of Windsor (Canada), 2004

Predicting Memory Use from a Class Diagram using Dynamic Information

Increasingly, new applications are being built by composing existing software components rather than by coding a system from scratch. Using this approach, applications can be built quickly. Far too often, however, these applications do not exhibit acceptable performance. The benefits of construction through composition could be more reliably achieved if a software engineer could assess the performance impact of a component prior to its use. In this paper, we present our experiences of taking a straightforward approach to a piece of this problem: predicting the memory use of an existing component for a new application. The approach consists of annotating a structural view a class diagram of an object-oriented component with data gathered from sample existing uses of the component. The annotated view is then used as a basis for prediction. Our experience highlights several of the difficulties software engineers face in not only predicting, but also in analyzing, the space performance of ..

Predicting Memory Use from a Class Diagram using Dynamic Information

Increasingly, new applications are being built by composing existing software components rather than by coding a system from scratch. Using this approach, applications can be built quickly. Far too often, however, these applications do not exhibit acceptable performance. The benefits of construction through composition could be more reliably achieved if a software engineer could assess the performance impact of a component prior to its use. In this paper, we present our experiences of taking a straightforward approach to a piece of this problem: predicting the memory use of an existing component for a new application. The approach consists of annotating a structural view ⎯ a class diagram ⎯ of an object-oriented component with data gathered from sample existing uses of the component. The annotated view is then used as a basis for prediction. Our experience highlights several of the difficulties software engineers face in not only predicting, but also in analyzing, the space performance of existing object-oriented components. 1