Data integration in mediated service compositions

A major aim of the Web service platform is the integration of existing software and information systems. Data integration is a central aspect in this con- text. Traditional techniques for information and data transformation are, however, not sucient to provide exible and automatable data integration solutions for Web and Cloud service-enabled information systems. The diculties arise from a high degree of complexity in data structures in many applications and from the additional problem of heterogenity of data representation in applications that often cross organisational boundaries. We present an integration technique that embeds a declarative data transformation technique based on semantic data models as a mediator service into a Web service-oriented information system architecture. Automation through consistency-oriented semantic data models and exibility through modular declarative data transformations are the key enablers of the approach. Automation is needed to enable dynamic integration and composition. Modiability is another aim here that benets from consistency and modularity

The Quality Attribute Design Strategy for a Social Network Data Analysis System

An excellent software project can often identify quality attributes, expressed by the nonfunctional requirements. Quality attributes include modifiability, performance, availability, security, and so on. The nonfunctional requirements that address those quality attributes should be considered during the design phase. The quality attribute design approaches will be considered to achieve those requirements. In this thesis, an architecture will be designed for a new social network data analysis system, is named Trowser, through several architectural approaches. Before starting the design phase, the source code of an existing social network analysis system, Gephi, is analyzed. The quality attribute design strategies are summarized from the analysis result and unite with the known design tactics to design the architecture of Trowser. The Architecture Tradeoff Analysis Method(ATAM) will be used for evaluating the quality of the architecture. Finding the good design strategies for social network data analysis system

Toward Quality Attribute Driven Approach to Software Architectural Design

It has been well-documented that the software architecture of any system plays a critical role in success or failure of software intensive systems. In this paper, a method has been proposed to evaluate the software architecture’s fitness with respect to key quality attributes for a web-based system. To the end, a comparative analysis based on quality attributes scenarios and tactics is carried out to select an optimal software architecture that meets the system level requirements of a web-based system, namely, Student and Course Evaluation System (SCES). The comparative study was driven by study of quality attributes and tactics with the selected architectures to select the optimal one

An Evaluation of Design Rule Spaces as Risk Containers

It is well understood that software development can be a risky enterprise and industrial projects often overrun budget and schedule. Effective risk management is, therefore, vital for a successful project outcome. Design Rule Spaces (DRSpaces) have been used by other researchers to understand why implemented software is error-prone. This industrial case study evaluates whether such spaces are durable, meaningful, and isolating risk containers. DRSpaces were created from UML class diagrams of architectural design artefacts. In our study, object orientated metrics were calculated from the UML diagrams, and compared to the error-proneness of the DRSpace implementation, to determine whether architectural coupling translated into implementation difficulties. A correlation between architectural coupling and error-proneness of DRSpaces was observed in the case study. Software developers were asked to identify DRSpaces they found difficult to implement, in order to understand which factors, other than architectural coupling, were also important. The qualitative results show agreement between the code areas developers found difficult to implement and the error-prone DRSpaces. However, the results also show that architectural coupling is just one risk factor of many. The case study suggests that architectural DRSpaces can be used to facilitate a targeted risk review prior to implementation and manage risk

Distribution pattern-driven development of service architectures

Distributed systems are being constructed by composing a number of discrete components. This practice is particularly prevalent within the Web service domain in the form of service process orchestration and choreography. Often, enterprise systems are built from many existing discrete applications such as legacy applications exposed using Web service interfaces. There are a number of architectural configurations or distribution patterns, which express how a composed system is to be deployed in a distributed environment. However, the amount of code required to realise these distribution patterns is considerable. In this paper, we propose a distribution pattern-driven approach to service composition and architecting. We develop, based on a catalog of patterns, a UML-compliant framework, which takes existing Web service interfaces as its input and generates executable Web service compositions based on a distribution pattern chosen by the software architect

Improving the Modifiability of the Architecture of Business Applications

Abstract-In the current rapidly changing business environment, organizations must keep on changing their business applications to maintain their competitive edges. Therefore, the modifiability of a business application is critical to the success of organizations. Software architecture plays an important role in ensuring a desired modifiability of business applications. However, few approaches exist to automatically assess and improve the modifiability of software architectures. Generally speaking, existing approaches rely on software architects to design software architecture based on their experience and knowledge. In this paper, we build on our prior work on automatic generation of software architectures from business processes and propose a collection of model transformation rules to automatically improve the modifiability of software architectures. We extend a set of existing product metrics to assess the modifiability impact of the proposed model transformation rules and guide the quality improvement process. Eventually, we can generate software architecture with desired modifiability from business processes. We conduct a case study to illustrate the effectiveness of our transformation rules