Situ: A Situation-Theoretic Approach to Context-Aware Service Evolution

Chang, Carl K.; Jiang, Hsin-yi; Hua, Ming; Oyama, Katsunori

doi:10.1109/tsc.2009.21

Cited by 89 publications

(102 citation statements)

References 31 publications

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“…Repeat from step 1 until the candidate resource set does not change. During long-term use of the resource space, the original classifications of the resource space may not be able to reflect the up-to-date classifications due to the following causes [7]:…”

Section: Automatically Detecting and Uploading Resources Into Resourcmentioning

confidence: 99%

Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society

Zhuge

Xing

2012

IEEE Trans. Serv. Comput.

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-Classification is the most basic method for organizing resources in the physical space, cyber space, socio space and mental space. To create a unified model that can effectively manage resources in different spaces is a challenge. The Resource Space Model RSM is to manage versatile resources with a multi-dimensional classification space. It supports generalization and specialization on multi-dimensional classifications. This paper introduces the basic concepts of RSM, and proposes the Probabilistic Resource Space Model, P-RSM, to deal with uncertainty in managing various resources in different spaces of the cyber-physical society. P-RSM's normal forms, operations and integrity constraints are developed to support effective management of the resource space. Characteristics of the P-RSM are analyzed through experiments. This model also enables various services to be described, discovered and composed from multiple dimensions and abstraction levels with normal form and integrity guarantees. Some extensions and applications of the P-RSM are introduced.Index Terms -cyber-physical society, faceted navigation, non-relational data model, resource management, resource space model, semantic link network, cyber-physical-socio services.

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Section: Automatically Detecting and Uploading Resources Into Resourcmentioning

confidence: 99%

Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society

Zhuge

Xing

2012

IEEE Trans. Serv. Comput.

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“…Historic data and observed data can be used as test cases. For example, from the Situ environment (Chang et al, 2009), we can obtain test cases from observing human's behavior pattern.…”

Section: Chapter 4 Genetic Programming Based Automated Service Compomentioning

confidence: 99%

“…For example, in Lu (1994), a tool called CAT is proposed to produce the executable test cases based on given functional specification. Other than generating test cases automatically for the black-box testing, test cases may be obtained from the historic data or observed data as explained in the Situ environment (Chang et al, 2009). In this thesis, we assume that we have existing test cases to use.…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

Automated Web Service Composition Using Genetic Programming

Xiao

Chang

Yang

et al. 2012

2012 IEEE 36th Annual Computer Software and Applications Conference Workshops

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“…Concentrating on human intention in service system evolution, [41] uses the situation framework to monitor, capture human intention and infer requirements for services. With this as the foundation, they propose a runtime service evolution mechanism, including releasing, feedback and packaging, to guide successor service development.…”

Section: ) Other Approaches For Service Evolutionmentioning

confidence: 99%

Software Service Evolution: A Requirements Perspective

Liu

Mylopoulos

2012

2012 IEEE 36th Annual Computer Software and Applications Conference Workshops

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Abstract-Software service has to adapt to constant changes of requirements and environment, which would give rise to the concentration on service evolution. Among the many reasons for evolution, requirements are regarded as the major driving factor. However, most current work on service evolution focuses on different kinds of tactics to keep the compatibility between services and client applications, few of them treat requirements in priority. In this paper, we thoroughly survey the state-of-the-art studies on service evolution, including basic concepts, types, challenges and approaches; then analyze service evolution from four dissimilar dimensions, and for each one we identify the open problems and inadequacies. Based on our analysis and discovery, we argue that requirements driven service evolution would become an essential and promising research direction.

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Situ: A Situation-Theoretic Approach to Context-Aware Service Evolution

Cited by 89 publications

References 31 publications

Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society

Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society

Automated Web Service Composition Using Genetic Programming

Software Service Evolution: A Requirements Perspective

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