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Code review is known to be of paramount importance for software quality assurance. However, finding a reviewer for certain code can be very challenging in Modern Code Review environment due to the difficulty of learning the expertise and availability of candidate reviewers. To tackle this problem, existing efforts mainly concern how to model a reviewer's expertise with the review history, and making...
Web services, as loosely-coupled software systems, are increasingly being published to the web and there are a large number of services with similar functions. Therefore, service users compare the non-functional properties of services, e.g., Quality of Service (QoS), when they make service selection. This paper aims at generating a more comprehensive web service recommendation to users with a novel...
As Cloud Computing has emerged as new computing paradigm, more and more services have been deployed and provided on the cloud platform with a SaaS model, thereby how to select a qualified service is becoming a key issue. Several approaches based on service feedback ranking e.g., rating-oriented collaborative filtering (CF) have been proposed. Traditional CF approaches predict the potential QoS values...
How to raise the efficiency of collaboration of modelers and bring down the cost of reusing processes are key problems in modern process developing activities. In the role-oriented way to organize modelers and the single-instance-based way to organize processes, traditional practices failed to tackle the problems. This paper describes an abstraction-level-based solution which organizes modelers and...
Several approaches to web service selection and recommendation via collaborative filtering have been studied, but seldom have these studies considered the difference between web service recommendation and product recommendation used in e-commerce sites. In this paper, we present RegionKNN, a novel hybrid collaborative filtering algorithm that is designed for large scale web service recommendation...
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