Andreas Schmietendorf

Performance Modeling of WS-BPEL-Based Web Service Compositions

This paper addresses quality of service aspects of Web service orchestrations created using WS-BPEL from the standpoint of a Web service integrator. A mathematical model based on operations research techniques and formal semantics of WS-BPEL is proposed to estimate and forecast the influence of the execution of orchestrated processes on utilization and throughput of individual involved nodes and of the whole system. This model is applied to the optimization of service levels agreement process between the involved parties

How to Measure Agile Software Development

Agile Software Development Methods are nowadays wide spread and accepted. From the Software Measurement point-of-view not all metrics and methods from conventional lifecycle models can be used without adoption. Therefore this paper describes distinct metrics and their implementation into a measurement tool for quality management in agile software development. Taking a closer look to agile methods we observe that some of metrics and the tool itself can be used for measurement in traditional software development as well.

An Analogy-Based Effort Estimation Approach for Mobile Application Development Projects

In this work we present a conceptional approach for effort estimation of mobile application projects. The effort is estimated using an empirical analogy-based process and a component-based functional size measurement of the application. Impact factors on the total project effort are thereby derived from popular estimation methods and enhanced for mobile projects. The approach is to be implemented in a web application and validated with real projects subsequently.

Organic Product Catalogs: Towards an Architecture for Cloud-Based Micro Enterprise E-commerce

Nowadays, it seems like there is nothing that can not be procured online. Closer observations, however, reveal that especially micro businesses do not yet fully benefit from online exposing their products and services. Though micro enterprises play a significant role with respect to our daily shopping, we are still not able to electronically place orders or conduct business with them. In this article, we propose the concept of cloud-based organic product catalogs as an approach towards bringing e-commerce technology closer to micro enterprises.

COSMIC Functional Size Measurement of Cloud Systems

The continuously increasing market demands for cloud platform and services leads to estimate the effort of development in an explicit manner. The COSMIC function point method should be a good basic of size measurement in order to qualify the different estimations of Cloud system management. This paper discuss size measurement for Cloud systems in a special case and outlines any general aspects of COSMIC FP measurements of Cloud system development.

COSMIC Measurements Dispersion

Over the years, software functional size measurement has become a viable tool to determine the effort and time needed to carry out a software project. This growth has led to an increased interest, as shown in several studies, as well as to the development and optimization of functional size measurement units. IFPUG Function Points since their development have been the most widely used functional size estimation approach. However, during recent years, a new method, called COSMIC FFP, has emerged as a second generation unit for functional software measurement, and has brought new features and benefits. The aim of this paper is to study the error that is introduced together with the interpretation of the unit application rules, thereby focusing on COSMIC CFPs. Due to subjectivity and degrees of freedom, this error can lead to great measurement dispersions. We have analyzed these dispersions, based upon a study that we have performed at our university, together with a group of Master students.

Combining Query Performance with Data Integrity in the Cloud: A Hybrid Cloud Storage Framework to Enhance Data Access on the Windows Azure Platform

Non-relational Cloud Storage Services, such as Windows Azures Table Storage, promise high scalability and nearby constant response times, even with an increasing number of concurrent transactions. Measurement data that is examined throughout this paper, however, reveals a fairly high number of query performance anomalies as well as a drop in response time with an increasing entity size. To address these issues, we propose an intermediate storage service, namely the Hybrid Cloud Storage Framework (HCSF), which combines the performance advantage of the Azure Distributed Cache with the data integrity of Table Storage. The paper concludes with a performance benchmark of the HCSF with Azures Table Storage.

IT-Management serviceorientierter Architekturen

ZusammenfassungMit einer serviceorientierten Architektur (SOA) geht die strikte Forderung einher, das IT-Servicemanagement entsprechend den Geschäftsfunktionen der unterstützten Geschäftsprozesse auszurichten. Es gilt, die im Rahmen einer Applikation genutzten Services jederzeit identifizieren zu können, um in der Lage zu sein, strategisch, planerisch und operativ auf Änderungsbedürfnisse zu reagieren. Dabei spielt die Zeitdauer, in der Services innerhalb einer Anwendung eingebunden bzw. abgeschaltet werden können, eine entscheidende Rolle in der Differenzierung zum Mitbewerber. Insbesondere die geringere Bindung an einen IT-Provider stellt einen wichtigen Vorteil einer SOA gegenüber klassischen Architekturen dar. Ebenso erfordert eine SOA eine stärkere Berücksichtigung des IT-Servicemanagements im Rahmen der Serviceentwicklung, denn dort werden die Grundlagen für eine derartige Flexibilität gelegt. Eine wesentliche Voraussetzung zur SOA-Implementierung bezieht sich auf die Integrierbarkeit der verwendeten Servicemanagementlösungen. Nur wenn diese über offene und standardisierte Schnittstellen mit geringem Aufwand eingebunden werden können, kann tatsächlich auf »ad hoc« genutzte Serviceangebote im Sinne eines ITIL-konformen Managements reagiert werden.

Big Data Benefits for the Software Measurement Community

The methods, models and technologies in the context of Big Data approaches has coined a new understanding of empirical analyses. First success stories of such kind of analytic data base systems exist in many domains. This research follows the question if software measurement can take advantages from Big Data. Considering the problems in software measurement applications and practice are described using the Big Data approaches and existing resources. Important for large empirical studies are a new kind of data sources driven by cloud based development solutions. Therefore, we concentrate on the available project data managed by GitHub. Examples of Big Data applications demonstrate their benefits in software measurement practices and communities.

Service-Oriented Measurement Infrastructure

The paradigm of service-oriented solutions (e.g. as SaaS) in the area of quality assurance seems to be a flexible innovative solution in order to support different high dynamic requirements in software measurement and evaluation. Otherwise many existing solutions are used in practice and must be migrated to such powerful infrastructures. This paper describes a general approach as service-oriented measurement infrastructure and shows a first practical solution as an example of flexible worldwide or in an intranet useable quality assurance application.