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Both criterion values and user’s preference of criterion should be taken into account when selecting web services with same functionalities. Usually, user describes his/her preference of criterion using qualitative concept. But the quantitative value corresponding to qualitative concept is uncertain. Thus, the subjective weight acquired based on user's preference is uncertain. This paper provides a method to select web service using uncertain subjective weight. Firstly, we present two ways of calculating subjective weight; Normalization and Least square method. The subjective weight is described using cloud model. Secondly, the criterion values of each web service are synthesized using marginal substitution method with indifference curve of Cobb-Douglas preferences. Thirdly, an algorithm for service selection is presented. Using this scheme, an experiment is conducted on selecting weather forecast web service. The result of the experiment is validated by the sensibility analysis of weight.

In Service-Oriented Computing (SOC), personalized requirements from diverse user present challenges to develop software with lower cost and high degree of satisfaction. Due to the popularity and fundamentality of Web services (WS), WS-based software is born through SOC by dynamically linking and customizing Web Services resources in the Internet to meet users’ goals. This paper proposes a goal-driven approach for customizing WS-based software to satisfy diversity of users’ requirements. More specifically, a unified and service-oriented framework for requirements metamodeling is adopted to construct well-organized and interrelated domain assets as the basis for customization; and a goal-driven customization method for WS-based software is designed to support implementation of this approach. This is followed by a case study in the urban transportation domain that demonstrates in detail the feasibility of our approach.

For E-commerce, such as online trade and interactions on the Internet are on the rise, a key issue is how to use simple and effective evaluation methods to accomplish trust decision-making for customers. It is well known subjective trust holds uncertainty like randomness and fuzziness. However, existing approaches commonly based on probability or fuzzy set theory cannot attach enough importance to uncertainty. To remedy this problem, a new quantificational subjective trust evaluation approach is proposed based on the cloud model. The subjective trust may be modeled with cloud model, and expected value and hyper-entropy of subjective cloud is used to evaluate the reputation of trust objects. Our experimental data shows that the method can effectively support subjective trust decision, which provides a helpful exploitation for the subjective trust evaluation.

The increasing size and complexity combined with short development cycles for web-based applications has led to the term web crisis whereby undisciplined development techniques work to keep up with user needs. Therefore, defining and measuring the quality of web-based applications has emerged as a compelling area of exploration. By first examining the difference between conventional software applications and web-based software applications, this paper examines why methods used for measuring the quality of conventional software applications now have less applicability and provides a rationale for new factors to define quality for web-based software applications. Further research is proposed for measurement of these factors.

As online trade and interactions on the internet are on the rise, a key issue is how to use simple and effective evaluation methods to accomplish trust decision-making for customers. It is well known that subjective trust holds uncertainty like randomness and fuzziness. However, existing approaches which are commonly based on probability or fuzzy set theory can not attach enough importance to uncertainty. To remedy this problem, a new quantifiable subjective trust evaluation approach is proposed based on the cloud model. Subjective trust is modeled with cloud model in the evaluation approach, and expected value and hyper-entropy of the subjective cloud is used to evaluate the reputation of trust objects. Our experimental data shows that the method can effectively support subjective trust decisions and provide a helpful exploitation for subjective trust evaluation.

Quality of Web service, especially the reputation, has become a benchmark to differentiate the services and providers. Unfortunately, the current reputation research in the field of Web services don't reasonably and correctly think about the randomicity and fuzziness which has been the basic issue in the relative research area about trust. We proposed two novel metrics to qualify the reputation of Web services and providers. We designed two kinds of trust model based on cloud model theory to describe the randomicity and fuzziness of the two metrics. Furthermore, a formalized calculation was provided to obtain the trust degree of services requestors to Web services and providers.