Evaluating legacy assets in the context of migration to SOA

Reddy, Vikas; Dubey, Alpana; Lakshmanan, Sala; Sukumaran, Srihari; Sisodia, Rajendra S.

doi:10.1007/s11219-008-9055-6

Cited by 13 publications

(12 citation statements)

References 15 publications

(18 reference statements)

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“…However, adoption of SOA approaches turns out to be a real challenge for IS engineers and managers. A few publications discuss how to assess legacy IS for evolution towards SOA (Reddy et al 2009;Ransom et al 1998) and analyze the impact of SOA on enterprise systems (Bieberstein et al 2005). Other research works define critical success factors of service orientation in IS engineering (Aier et al 2011), discuss strategies for service-oriented IS design (Aier 2012) and how service-oriented design should be applied in an organization in order to adopt SOA (Chua 2009), and analyze SOA application in practice (Legner and Heutschi 2007).…”

Section: Adoption Of Service-oriented Paradigm In Is Engineeringmentioning

confidence: 99%

Designing the Shift from Information Systems to Information Services Systems

2015

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Service-oriented paradigm is emerging as a promising solution to handle enterprise information systems (IS) complexity, interoperability, and evolution issues. However, the shift from a conventional IS architecture to a service-oriented one is not an easy task. Various approaches have been proposed in the literature and most of them deal with either business strategic service design or a technical level IS transformation and migration. There is a need for approaches forming the link between these two levels and designing the information level transformations. In the paper, the concepts of information service and information services system (ISS) are promoted and three different ways to design information services and ISS are proposed taking into account enterprise legacy IS evolution. The three approaches are illustrated with examples taken from industrial projects and case studies.

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Section: Adoption Of Service-oriented Paradigm In Is Engineeringmentioning

confidence: 99%

Designing the Shift from Information Systems to Information Services Systems

2015

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“…According to [1,15,16,33,34] there are twelve service-oriented design principles that covers abstraction, autonomy, cohesion, composability, contract, loose coupling, discoverability, reusability, granularity, complexity, design size and statelessness, as showing in Table 1. The following sentences are describing the service-oriented design principles and how they will affect the quality of software [1,33]:…”

Section: Background and Related Work 21 Service-oriented Design Primentioning

confidence: 99%

“…Therefore, several research works have been established to propose quality measurements that support estimation of software quality of service oriented early in the Software Development Life Cycle (SDLC), particularly at design phase. The key factors in these quality measurements is the structure of service-oriented design properties namely; abstraction, autonomy, cohesion, composability, contract, loose coupling, discoverability, reusability and statelessness [1,15,16]. Consequently, a large number of metrics have been proposed for measuring and evaluating the structural properties of a SOD [3,7,8,15,[17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Service-Oriented Design Measurement and Theoretical Validation

Elhag

Mohamad

2015

Jurnal Teknologi

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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.

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“…These principles have been well-documented in the literature [6,7,19] and include notions of cohesion, coupling, reusability, composability, granularity, statelessness, autonomy, abstraction and so on. However, the principles are largely prescriptive in nature and there has been little work in defining how adherence to these principles may be quantitatively measured in practice.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Quality of Service Oriented Design

Sindhgatta

Sengupta

Ponnalagu

2009

Service-Oriented Computing – ICSOC 2007

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Service Oriented Architecture (SOA) has gained popularity as a design paradigm for realizing enterprise software systems through abstract units of functionality called services. While the key design principles of SOA have been discussed at length in the literature, much of the work is prescriptive in nature and do not explain how adherence to these principles can be quantitatively measured in practice. In some cases, metrics for a limited subset of SOA quality attributes have been proposed, but many of these measures have not been empirically validated on real-life SOA designs. In this paper, we take a deeper look at how the key SOA quality attributes of service cohesion, coupling, reusability, composability and granularity may be evaluated, based only on service design level information. We survey related work, adapt some of the well-known software design metrics to the SOA context and propose new measures where needed. These measures adhere to mathematical properties that characterize the quality attributes. We study their applicability on two real-life SOA design models from the insurance industry using a metrics computation tool integrated with an Eclipse-based service design environment. We believe that availability of these measures during SOA design will aid early detection of design flaws, allow different design options and trade-offs to be considered and support planning for development, testing and governance of the services.

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Evaluating legacy assets in the context of migration to SOA

Cited by 13 publications

References 15 publications

Designing the Shift from Information Systems to Information Services Systems

Designing the Shift from Information Systems to Information Services Systems

Service-Oriented Design Measurement and Theoretical Validation

Measuring the Quality of Service Oriented Design

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