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Context: Software development effort estimation (SDEE) is the process of predicting the effort required to develop a software system. In order to improve estimation accuracy, many researchers have proposed machine learning (ML) based SDEE models (ML models) since 1990s. However, there has been no attempt to analyze the empirical evidence on ML models in a(More)
With the development of advanced Internet technology, business applications across multiple enterprises based on Web Services Composition (WSC) paradigm are widely used. When system failure occurs, some tasks of the flow may be committed while others unscheduled, in this situation, it is important to accurately analyze execution log of composition business(More)
Large-scale scientific and engineering computation is normally accomplished through the interaction of collaborating groups and diverse heterogeneous resources. Grid computing is emerging as an applicable paradigm, whilst, there is a critical challenge of authorization in the grid infrastructure. This paper proposes a Parallelized Subtask-level(More)
Wireless sensors and mobile devices have been widely deployed as data collecting devices for monitoring real world systems. A large amount of stream data is generated in real-time, which has to be processed in real-time as well. One of the common processing operations is clustering that automatically groups the elements of a stream into a number of clusters(More)
In this paper, we present a two-level distributed schedule model, and propose a scheduling approach with respect to overlap of computing and data transferring. On the basis of network status, node load, and the relation between task execution and task data access, data transferring and computing can occur concurrently in the following three cases: a) A task(More)
—In this paper, a new type of neural network model——PARCONE (Partially Connected Neural Evolutionary) was proposed, which can overcome the disadvantage that the previous neural networks can not accept more than thousands of inputs. With this new model, no feature extraction is needed before target identification and all of the pixels of a sample image can(More)