Measuring the Quality of Service Oriented Design

Sindhgatta, Renuka; Sengupta, Bikram; Ponnalagu, Karthikeyan

doi:10.1007/978-3-642-10383-4_36

Cited by 33 publications

(50 citation statements)

References 14 publications

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“…The emphasis of above discussed approaches was not on the detection of the anti-patterns in the service interfaces. Sindhgatta et al [43] presented a comprehensive literature survey on service cohesion, coupling, and reusability metrics, and they come up with five new cohesions and coupling metrics that are set as a new service design requirement. A rule-based approach capable for the specification and detection of anti-patterns using a set of metrics.…”

Section: Stat Of the Artmentioning

confidence: 99%

A Lightweight Approach for Specification and Detection of SOAP Anti-Patterns

Sabir¹,

Rasool²,

Yousaf³

2017

ijacsa

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Abstract-Web-services have become a governing technology for Service Oriented Architectures due to reusability of services and their dependence on other services. The evolution in service based systems demands frequent changes to provide quality of service to customers. It is realised by different researchers that evolution in service based systems may degrade design and quality of service and may generate poor solutions known as antipatterns. The detection of anti-patterns from web services is an important research realm and it is continuously getting the attention of researchers. There are a number of techniques and tools presented for detection of anti-patterns from object oriented software applications but only few approaches are presented for detection of anti-patterns from SOA. The state of the art anti-pattern detection approaches presented for detection of anti-patterns from SOA are not flexible enough and they are limited to detection of only a few anti-patterns. We present a flexible approach supplemented with a tool support to detect 10 anti-patterns from different SOA-based applications. We compare results of our approach with two representative state of the art approaches.

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Section: Stat Of the Artmentioning

confidence: 99%

A Lightweight Approach for Specification and Detection of SOAP Anti-Patterns

Sabir¹,

Rasool²,

Yousaf³

2017

ijacsa

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show abstract

“…Still, the main focus was not on identifying bad practices or poor design decisions in the service interfaces. Also, Sindhgatta et al [22] performed a thorough literature survey on service cohesion, coupling, and reusability metrics, and proposed five new cohesion and coupling metrics, which they described as new quality criteria for service design. These metrics are even at the WSDL code-level; in contrast, we assess the design and QoS of Web services.…”

Section: Related Workmentioning

confidence: 99%

Specification and Detection of SOA Antipatterns in Web Services

Palma

Moha

Tremblay

et al. 2014

Lecture Notes in Computer Science

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Abstract. Service Based Systems, composed of Web Services (WSs), offer promising solutions to software development problems for companies. Like other software artefacts, WSs evolve due to the changed user requirements and execution contexts, which may introduce poor solutions-Antipatterns-may cause (1) degradation of design and quality of service (QoS) and (2) difficult maintenance and evolution. Thus, the automatic detection of antipatterns in WSs, which aims at evaluating their design and QoS requires attention. We propose SODA-W (Service Oriented Detection for Antipatterns in Web services), an approach supported by a framework for specifying and detecting antipatterns in WSs. Using SODA-W, we specify ten antipatterns, including God Object Web Service and Fine Grained Web Service, and perform their detection in two different corpora: (1) 13 weather-related and (2) 109 financial-related WSs. SODA-W can specify and detect antipatterns in WSs with an average precision of more than 75% and a recall of 100%.

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“…Reusability [7] λ1(S1) = -0.5 * Coupling + 0.61 * ServiceGranularity + 0.61 * Parameter Granularity Medium Adaptability [6] λ2(S1)=NumConsumers Satisfied Variants/ NumTotalApplicableConsumers High Granularity [5] λ3 (S1)= 1/number of "atomic process" in owls file…”

Section: Effective Factors Metric _ Importance Levelmentioning

confidence: 99%

Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining

Hemmati¹

2014

IJIIS

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Abstract:The combination of web services is the result of complex and increasing needs of the users and disability of single web services in resolving the users' needs. One of the important challenges in the field of web 2.0 is the combination of web services based on their qualitative features. Since it is probable that there would be several different combinations of services for achieving a specific goal, choosing the service is based on some qualitative features like combining, availability, acceptability, service cost and security. One of the important issues is the quantitative survey of combining rate of the two services shared on the combination. So in this research, in the first stage, for measuring the combining rate, the effective factors on this feature would be surveyed. In the second stage, for choosing the optimum service based on the qualitative feature of combining, the local strategy is used. The proposed algorithm in local strategy selects services that their combining rate is more than a specific threshold. The implementations and analysis show that the proposed algorithm presents the optimum service in user's view with an acceptable combining capability. Also, the analysis of results and an evaluation with a case study show the optimized results of the local proposed algorithms compared to existing methods.

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Measuring the Quality of Service Oriented Design

Cited by 33 publications

References 14 publications

A Lightweight Approach for Specification and Detection of SOAP Anti-Patterns

A Lightweight Approach for Specification and Detection of SOAP Anti-Patterns

Specification and Detection of SOA Antipatterns in Web Services

Presenting an Algorithm for Choosing an Optimum Local Service Based on the Qualitative Feature of Combining

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