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Change impact analysis (CIA) is a specialized process of program comprehension that investigates the ripple effects of a code change in a software system. In this paper, we present a boosting way for change impact analysis via mapping the historical change-patterns to current CIA task in a cross-project scenario. The change-patterns reflect the coupling dependencies between changed entities in a change set. A traditional CIA tool (such as ImpactMiner) outputs an initial impact set for a starting entity. To boost the traditional CIA tool, our approach retrieves an equivalent entity from various historical change sets for the starting entity. Then, the change-patterns between the equivalent entity and the rest of entities in the change set are mapped to the CIA task at hand. For current CIA task, if an entity in the initial impact set involves the similar change-pattern with the starting entity when comparing with the mapped change-pattern, we will reward the impacted confidence of the entity. Accuracy improvements are observed in the experiments when applying our boosting method to three famous CIA tools, i.e., ImpactMiner, JRipples and ROSE.

In accordance with the requirements of oilfield production management, the management scheme was presented based on digital control system of oilfield. The five parts of the whole system was designed. The control system of oilfield is described from the two respects of hardware and software in detail. The feasibility and practicality of the system was proven.

The need to accelerate the innovation and application of the supply chain has been suggested by the State Council of China. To solve the problem of data isolation caused by privacy protection in the power material supply chain, a data traceability and sharing mechanism based on blockchain is designed in this paper. Firstly, the existing problems of the power material supply chain are introduced, and the applicability of blockchain in the power material supply chain in view of these problems is analyzed. Secondly, blockchain-based power material supply deployment and application structures are proposed. Then, considering the problem of data isolation in the material inspection and distribution links between suppliers and the material company, a data traceability mechanism based on blockchain is designed to provide evidence for the data authenticity and a proxy re-encryption method is used to ensure security and privacy in data sharing. Finally, the effectiveness of the proposed data traceability and sharing mechanism is verified using the Hyperledger Fabric platform for power material case studies. The simulation results show that the combination of proxy re-encryption and blockchain technology in the power material supply chain can confirm the validity of the historical data and keep the private data of the material company confidential, so as to realize the traceability and sharing of the power material supply data.

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