From i* models to service oriented architecture models

Requirements engineering and architectural design are key activities for successful development of software systems. Specifically in the service-oriented development systems there is a gap between the requirements description and architecture design and assessment. This article presents a systematic process for systematically deriving service-oriented architecture from goal-oriented models. This process allows generate candidate architectures based on i* models and helps architects to select a solution using services oriented patterns for both services and components levels. The process is exemplified by applying it in a synthesis metadata and assembly learning objects system.Peer ReviewedPostprint (author’s final draft

Web Services Metrics: A Survey and A Classification

Abstract. Web Services have emerged as a new Web-based technology paradigm for exchanging information on the Internet using platform-neutral standards, such as XML and adopting Internet-based protocols. They have become a promising technology to design and build complex inter-enterprise business applications. However, Web Services are problematic to measure, control, and manage. Software metrics is vital for the management, control, and measurement of software development and despite the vast amount of techniques/mechanisms and metrics for traditional and Object-Oriented software, there has been a few research and techniques that deals with metrics for Web Services. As companies increasingly invest and relies on Web Services, the importance of metrics for those services continues to grow. In this paper I present and classify the existing metrics for Web Services, and discuss their usage and benefits. In addition, I highlight the problems found in using some of the metrics and discuss what is still lacking in this domain

Analysing the Contribution of Coupling Metrics for the Development and Management of Process Architectures

Currently, the development and modeling of enterprise architectures is an intensively discussed topic in both science and practice. Process architectures represent a core element in recent enterprise architecture frameworks. With process models being a central means for communicating and documenting the process architectures, both their quality and understandability are decisive. However, the concept of process model quality is still not fully understood. The recent development has highlighted the role of coupling in models. Coupling is expected to represent an important dimension of quality for conceptual models. Still, this perspective is hardly understood and its definition vague. Therefore, this work collects diverse coupling interpretations in the field of process modelling and integrates them to a common and precise definition. Once introduced and formally specified, the metrics serve as a basis for a discussion on coupling and on how the future development in respect to coupling could look like. The main findings are that currently metrics evaluate either the documentation of the process architecture regarding its understandability or they contribute to the individual applications of process architectures. These findings support practitioners selecting metrics for a particular task and scientists to identify research gaps for further development

A survey on software coupling relations and tools

Context Coupling relations reflect the dependencies between software entities and can be used to assess the quality of a program. For this reason, a vast amount of them has been developed, together with tools to compute their related metrics. However, this makes the coupling measures suitable for a given application challenging to find. Goals The first objective of this work is to provide a classification of the different kinds of coupling relations, together with the metrics to measure them. The second consists in presenting an overview of the tools proposed until now by the software engineering academic community to extract these metrics. Method This work constitutes a systematic literature review in software engineering. To retrieve the referenced publications, publicly available scientific research databases were used. These sources were queried using keywords inherent to software coupling. We included publications from the period 2002 to 2017 and highly cited earlier publications. A snowballing technique was used to retrieve further related material. Results Four groups of coupling relations were found: structural, dynamic, semantic and logical. A fifth set of coupling relations includes approaches too recent to be considered an independent group and measures developed for specific environments. The investigation also retrieved tools that extract the metrics belonging to each coupling group. Conclusion This study shows the directions followed by the research on software coupling: e.g., developing metrics for specific environments. Concerning the metric tools, three trends have emerged in recent years: use of visualization techniques, extensibility and scalability. Finally, some coupling metrics applications were presented (e.g., code smell detection), indicating possible future research directions. Public preprint [https://doi.org/10.5281/zenodo.2002001]

Service-oriented design measurement and theoretical validation

As software systems become more and more complex over time, software quality accordingly becomes increasingly important. Service-Oriented Computing (SOC) paradigm is one of the established paradigms used for building and developing flexible, reusable, rapid and low cost software products. Consequently, the use of SOC to develop software systems is increasing. Software quality measurement has considerable importance in the context of SOC since it determines how the quality requirements for composite service should be achieved. As a result, several quality metrics for composite service design were proposed. However, these metrics were constructed based on previous development approaches, give insufficient focus and need modification to be applied to service-oriented systems. Furthermore, the existing metrics do not consider the composite service as building blocks and also they do not consider the indirect relationships. In this paper, a quality measurement for composite service-oriented design is proposed, with the aim of increasing reusability and decreasing the complexity of design. The paper begins with proposing a set of metrics to measure the quality of composite service design. Then, the proposed metrics are validated theoretically to check its usability and applicability for composite service. The results show that the proposed metrics are able to measure the quality of composite service design

Metriken zur Bewertung und Verbesserung von Prozessmodellen

Die Zielsetzung dieser Arbeit ist die Entwicklung von Artefakten zur Messung der Prozessmodellverständlichkeit. Im Schwerpunkt „Good Decomposition“ wurden hierfür fünf Conditions evaluiert und zwölf Metriken entwickelt. Im Bereich „Coupling“ wurden hierfür neun Metriken entwickelt und jene drei der Kontrollflusskomplexität evaluiert. Insbesondere aber wurden für jeden Schritt des Entwicklungszyklusses von den verschiedenen Theorien bis zu den fertigen Metriken Methoden aufgezeigt und exemplarisch angewendet. Diese Methoden können herangezogen werden, um die Entwicklung weiterer Metriken zu erleichtern