Measurement and Prediction of Software Performance by Models

Software Performance Engineering (SPE) provides a systematic, quantitative approach to constructing software systems that meet performance objectives. It prescribes ways to build performance into new systems rather than try to fix them later. Performance is a pervasive quality of software systems; everything affects it, from the software itself to all underlying layers, such as operating system, middleware, hardware, communication networks, etc. Software Perfor - mance Engineering encompasses efforts to describe and improve performance, with two distinct approaches: an earlycycle predictive model-based approach, and a late-cycle measurement-based approach. Current progress and future trends within these two approaches are described, with a tendency (and a need) for them to converge, in order to cover the entire development cycle

Parallelizing an Index Generator for Desktop Search

International audienceExperience with the parallelization of an index generator for desktop search is presented. Several configurations of the index generator are compared on three different Intel platforms with 4, 8, and 32 cores. The optimal configurations for these platforms are not intuitive and are markedly different for the three platforms. For finding the optimal configuration, detailed measurements and experimentation were necessary. Several recommendations for parallel software design are derived from this study

Objektorientierte Stromprogrammierung

Diese Arbeit stellt das Gesamtkonzept der objektorientierten Stromprogrammierung vor. Ziel ist es, die Implementierung und Optimierung paralleler Anwendungen für Multikernrechner zu vereinfachen. Es werden Spracherweiterungen eingeführt, welche von Ausführungsfäden und expliziter Synchronisierung abstrahieren. Darauf aufbauend ermöglicht ein eigenes Laufzeitsystem die Optimierung von Stromprogrammen im Produktivbetrieb, ohne dass ein Einwirken des Programmierers erforderlich ist

Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes

Quality attributes, such as performance or reliability, are crucial for the success of a software system and largely influenced by the software architecture. Their quantitative prediction supports systematic, goal-oriented software design and forms a base of an engineering approach to software design. This thesis proposes a method and tool to automatically improve component-based software architecture (CBA) models based on such quantitative quality prediction techniques