Performance engineering of software systems

Smith, Connie U.; Browne, James C.

doi:10.1145/1500774.1500800

Cited by 58 publications

(92 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the project advances, early estimate can be replaced with measured values for the most critical parts. However, this is not to say that performance analysis should be deferred until late in the lifecycle, when the system is implemented and can be measured, because by then it may be too late to correct costly performance mistakes frozen in the code (see [32] for more details on software performance engineering).…”

Section: Context-specific Aspect Modelmentioning

confidence: 99%

“…Software Performance Engineering (SPE) is a methodology introduced in [32] that promotes the integration of performance analysis into the software development process from the early stages and continuing throughout the whole software life cycle. The UML Performance Profile for Schedulability, Performance and Time (SPT) standardized by OMG enables the application of the SPE methodology to systems developed with UML [29].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance analysis of aspect-oriented UML models

2007

View full text Add to dashboard Cite

Aspect-Oriented Modeling (AOM) techniques allow software designers to isolate and address separately solutions for crosscutting concerns (such as security, reliability, new functional features, etc.). Current AOM research is concerned not only with the separate expression of concerns and their composition into a complete system model, but also with the analysis of different properties of such models. This paper proposes an approach for analyzing the performance effects of a given aspect on the overall system performance, after the composition of the aspect model with the system's primary model. Performance analysis of UML models is enabled by the "UML Performance Profile for Schedulability, Performance and Time" (SPT) standardized by OMG, which defines a set of quantitative performance annotations to be added to a UML model. The first step of the proposed approach is to add performance annotations to both the primary and the aspect models. An aspect model is generic at first, and therefore its performance annotations must be parameterized. A generic model is converted into a context-specific aspect model with concrete values assigned to its performance annotations. The latter is composed with the primary model, generating a complete annotated UML model. The composition is performed in both structural and Communicated by Dr. Lionel Briand. behavioural views. A novel approach for composing activity diagrams based on graph-rewriting concepts is proposed in the paper. The next step is to transform automatically the composed model into a Layered Queueing Network (LQN) performance model, by using techniques developed in previous work. The proposed approach is illustrated with a case study system, whose primary model is enhanced with some security features by using AOM. The performance effects of the security aspect under consideration are analyzed in two design alternatives, by solving and analyzing the LQN model of the composed system.

show abstract

Section: Context-specific Aspect Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance analysis of aspect-oriented UML models

2007

View full text Add to dashboard Cite

show abstract

“…[22]), we focus on performance in this paper due to the following reasons. Performance is one of the most demanded quality aspects across several domains, including BP [9] and IS [46]. In contrast to other quality aspects, foundations are available in the form of established prediction methods and formalisms (e.g., [3,29,38]) that can be built upon.…”

Section: Introductionmentioning

confidence: 99%

Integrating business process simulation and information system simulation for performance prediction

et al. 2015

View full text Add to dashboard Cite

Business process (BP) designs and enterprise information system (IS) designs are often not well aligned. Missing alignment may result in performance problems at run-time, such as large process execution time or overloaded IS resources. The complex interrelations between BPs and ISs are not adequately understood and considered in development so far. Simulation is a promising approach to predict performance of both BP and IS designs. Based on prediction results, design alternatives can be compared and verified against requirements. Thus, BP and IS designs can be aligned to improve performance. In current simulation approaches, BP simulation and IS simulation are not adequately integrated. This results in limited prediction accuracy due to neglected interrelations between the BP and the IS in simulation. In this paper, we present the novel approach Integrated Business IT Impact Simulation (IntBIIS) to adequately reflect the mutual impact between BPs and ISs in simulation. Three types of mutual impact between BPs and ISs in terms of performance are specified. We discuss several solution alternatives to predict the impact of a BP on the performance of ISs and vice versa. It is argued that an integrated simulation of BPs and ISs is best suited to reflect their interrelations. We propose novel concepts for continuous modeling and inteCommunicated by Prof. Wil M.P. van der Aalst. grated simulation. IntBIIS is implemented by extending the Palladio tool chain with BP simulation concepts. In a reallife case study with a BP and IS from practice, we validate the feasibility of IntBIIS and discuss the practicability of the corresponding tool support.

show abstract

“…In the last decades, Software Performance Engineering (SPE [26]) supported software architects in analyzing the performance of software systems at different stages of the software lifecycle. Model-based SPE approaches, such as the Palladio Component Model [4] allow to generate performance models (e.g., queuing networks or Petri nets) of software systems from existing architectural models (components, behaviour specifications, etc).…”

Section: Introductionmentioning

confidence: 99%

Deriving performance-relevant infrastructure properties through model-based experiments with Ginpex

Hauck

Kuperberg²,

Huber

et al. 2013

Softw Syst Model

View full text Add to dashboard Cite

To predict the performance of an application, it is crucial to consider the performance of the underlying infrastructure. Thus, to yield accurate prediction results, performance-relevant properties and behaviour of the infrastructure have to be integrated into performance models. However, capturing these properties is a cumbersome and error-prone task, as it requires carefully engineered measurements and experiments. Existing approaches for creating infrastructure performance models require manual coding of these experiments, or ignore the detailed properties in the models. The contribution of this paper is the Goal-oriented INfrastructure Performance EXperiments (Ginpex) approach, which introduces goal-oriented and model-based specification and generation of executable performance experiments for automatically detecting and quantifying performance-relevant infrastructure properties. Ginpex provides a metamodel for experiment specification and comes with predefined experiment templates that provide automated experiment execution on the target platform and also automate the evaluation of the experiment results. We evaluate Ginpex using three case studies, where experiments are executed to quantify various infrastructure properties.

show abstract

Performance engineering of software systems

Cited by 58 publications

References 1 publication

Performance analysis of aspect-oriented UML models

Performance analysis of aspect-oriented UML models

Integrating business process simulation and information system simulation for performance prediction

Deriving performance-relevant infrastructure properties through model-based experiments with Ginpex

Contact Info

Product

Resources

About