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An empirical study of a reverse engineering method for the aggregation relationship based on operation propagation

Dowming Yeh, Pei-chen Sun, William Chu, Chien-Lung Lin, Hongji Yang
2007 Empirical Software Engineering  
A reverse engineering approach is proposed on the basis of a primary characteristic for aggregation relationship-propagation of operations.  ...  Most reverse engineering methods for aggregation relationships are based on the lifetime dependence of an object on another object since many implementations of aggregation relationships result in such  ...  , R.O.C. under the grant 96-EC-17-A-02-S1-029.  ... 
doi:10.1007/s10664-007-9043-7 fatcat:fof5wmoo3zhrll3o2ufjv62lm4

An information aggregation method for hierarchical system reliability analysis with insufficient reliability information based on Bayesian Melding Method

Yingchun Xu, Wen Yao, Xiaoqian Chen, Jianfeng Liu, Sheng Wang, Xing Chen, Tao Zhou
2021 IOP Conference Series: Materials Science and Engineering  
In this paper, an information aggregation method is developed for the hierarchical system to make full use of the limited reliability information based on the traditional Bayesian Melding Method.  ...  In the literature, the Bayesian Melding Method is a useful tool to merge the subsystem and system information based on the deterministic structure.  ...  Acknowledgments This work was supported in part by National Natural Science Foundation of China under Grant No.51675525 and 11725211.  ... 
doi:10.1088/1757-899x/1043/2/022007 fatcat:zamxpsotpjhqheey5os5rctp7m

Nondestructive damage evaluation of reinforced concrete structure using infrared thermography

Minh Phong Luong, George Y. Baaklini, Carol A. Nove, Eric S. Boltz
2000 Nondestructive Evaluation of Aging Materials and Composites IV  
The acoustic emission method 17 is based on the principle that the formation and propagation of the micro-cracks are associated with the release of energy.  ...  It is successfully used as an experimental method for detection of plastic deformation during crack propagation of steel plate under monotonous loading or as a laboratory technique for investigating damage  ... 
doi:10.1117/12.385481 fatcat:4blspbour5dlpk75gpg2d3aj24

Reverse engineering aggregation queries

Wei Chit Tan, Meihui Zhang, Hazem Elmeleegy, Divesh Srivastava
2017 Proceedings of the VLDB Endowment  
First, based on a lattice graph structure, we identify a set of group-by candidates for the desired query.  ...  Query reverse engineering seeks to re-generate the SQL query that produced a given query output table from a given database.  ...  CONCLUSION In this paper, we proposed a novel algorithm for reverse engineering aggregation queries.  ... 
doi:10.14778/3137628.3137648 fatcat:nfxqiqdtuvavhfhk3rg2c7bxla

Delegation and circumvention

Suresh K. Bhavnani, Bonnie E. John
1998 Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98  
Throughout history, inefficient methods to use devices have been replaced by more efficient ones.  ...  We then present five corresponding GOMS models that demonstrate the value of efficient strategies when compared to the observed behavior of a professional CAD user.  ...  ACKNOWLEDGMENTS This research was supported by the National Science Foundation, Award:: IRI-9457628.  ... 
doi:10.1145/274644.274683 dblp:conf/chi/BhavnaniJ98 fatcat:orumfo2y7rgyzhyo4f5yczb2ke

HC-BGP: A light-weight and flexible scheme for securing prefix ownership

Ying Zhang, Zheng Zhang, Z. Morley Mao, Y. Charlie Hu
2009 2009 IEEE/IFIP International Conference on Dependable Systems & Networks  
The Border Gateway Protocol (BGP) is a fundamental building block of the Internet infrastructure.  ...  Prefix hijacking is one such misbehavior where an attacker AS injects false routes to the Internet routing system that misleads victim's traffic to the attacker AS.  ...  The key idea of HC-BGP is inspired by an empirical study we conducted to understand the most common routing dynamics.  ... 
doi:10.1109/dsn.2009.5270359 dblp:conf/dsn/ZhangZMH09 fatcat:4d3zgxubonbt7ovf6kptsnf434

Evaluating the performance of a EuroDivisia index using artificial intelligence techniques

Jane M. Binner, Alicia M. Gazely, Graham Kendall
2008 International Journal of Automation and Computing  
One method uses a standard back propagation neural network and the other uses an evolutionary approach, where the network weights and the network architecture are evolved.  ...  Also of interest is the fact that the Divisia measure of money is superior as a predictive tool over simple sum.  ...  Acknowledgements The authors thank Thomas Elger (Lund University, Sweden) and Barry Jones (State University of New York, US) for their helpful discussions during the development of this paper.  ... 
doi:10.1007/s11633-008-0058-3 fatcat:vfqzpqtoxzhz3bm6m3judyn7q4

Supply chain forecasting: Theory, practice, their gap and the future

Aris A. Syntetos, Zied Babai, John E. Boylan, Stephan Kolassa, Konstantinos Nikolopoulos
2016 European Journal of Operational Research  
ABSTRACT Supply Chain Forecasting (SCF) goes beyond the operational task of extrapolating demand requirements at one echelon.  ...  This paper provides a comprehensive review of the literature and aims at bridging the gap between the theory and practice in the existing knowledge base in SCF.  ...  We also thank Steve Disney and Fotios Petropoulos at Cardiff University, for their constructive comments on the material presented in Sections 2 and 3 respectively, and Len Tashman, the Editor of Foresight  ... 
doi:10.1016/j.ejor.2015.11.010 fatcat:duc2wyqkqvfqvaokfm3amz5lbu

PM: a system to support the automatic acquisition of programming knowledge

R.G. Reynolds, J.I. Maletic, S.E. Porvin
1990 IEEE Transactions on Knowledge and Data Engineering  
The framework for the knowledge acquisition process described is based on an empirical model of the stepwise refinement process for implementing code modules.  ...  Use of the metrics has suggested a method for breaking down completed code modules into a collection of refinement objects based on a canonical model of the process by which they were implemented.  ...  As a Unisys employee he worked on BEACON, an expert system configurator and pricer.  ... 
doi:10.1109/69.60791 fatcat:rt62psqggncglh4wewbh7nsj3u

Mining Crosscutting Concerns through Random Walks

Charles Zhang, Hans-Arno Jacobsen
2012 IEEE Transactions on Software Engineering  
The random walks are performed on the concept graphs extracted from the program sources to calculate metrics of "utilization" and "aggregation" for each of the program elements.  ...  We rank all the program elements based on these metrics and use a threshold to produce a set of candidates that represent crosscutting concerns(CCs).  ...  Special thanks to Andrew Clement for the technical help and insights and to Julie Waterhouse of IBM Canada for provisioning the project and reviewing an early draft of this paper.  ... 
doi:10.1109/tse.2011.83 fatcat:svabb7hcard2zi3meyty2lgpke

Efficiently mining crosscutting concerns through random walks

Charles Zhang, Hans-Arno Jacobsen
2007 Proceedings of the 6th international conference on Aspect-oriented software development - AOSD '07  
The random walks are performed on the concept graphs extracted from the program sources to calculate metrics of "utilization" and "aggregation" for each of the program elements.  ...  We rank all the program elements based on these metrics and use a threshold to produce a set of candidates that represent crosscutting concerns(CCs).  ...  Special thanks to Andrew Clement for the technical help and insights and to Julie Waterhouse of IBM Canada for provisioning the project and reviewing an early draft of this paper.  ... 
doi:10.1145/1218563.1218588 dblp:conf/aosd/ZhangJ07 fatcat:y7rmm6zrt5bhzajjfzbxvbzbbm

FastONN – Python based open-source GPU implementation for Operational Neural Networks [article]

Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
2020 arXiv   pre-print
This work introduces a fast GPU-enabled library for training operational neural networks, FastONN, which is based on a novel vectorized formulation of the operational neurons.  ...  Leveraging on automatic reverse-mode differentiation for backpropagation, FastONN enables increased flexibility with the incorporation of new operator sets and customized gradient flows.  ...  Figure 2 2 Top: Entity Relationship Diagram (ERD) of the 3 core modules of FastONN. Bottom: Aggregation of FastONN modules to configure an ONN model.  ... 
arXiv:2006.02267v1 fatcat:nggwsggjqzce7kfm5bqix7746u

Recommending High Utility Query via Session-Flow Graph [chapter]

Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan, Wolfgang Nejdl
2013 Lecture Notes in Computer Science  
Query recommendation is an integral part of modern search engines that helps users find their information needs.  ...  Extensively experiments were conducted on real query logs, and the results show that our method significantly outperforms the state-of-the-art methods under the evaluation metric QRR and MRD.  ...  Finally, we conduct an empirical study on publicly released query logs, and the results show that our method performs significantly better than the state-of-the-art methods in recommend high utility queries  ... 
doi:10.1007/978-3-642-36973-5_54 fatcat:xn2u4wbwwfgszn5bfnyqdcsyga

OR FORUM—Catching the "Network Science" Bug: Insight and Opportunity for the Operations Researcher

David L. Alderson
2008 Operations Research  
Third, it proposes optimizationbased reverse engineering to address some important open questions within network science from an operations research perspective.  ...  This paper offers perspective on the emerging field of "network science" in three ways.  ...  This manuscript benefited greatly from the feedback of numerous NPS colleagues, two anonymous referees, and a helpful area editor.  ... 
doi:10.1287/opre.1080.0606 fatcat:y4jnyegc3ndwfosdxy7b7dvnaa

Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence

Stavros Degiannakis, George Filis, Vipin Arora
2018 Energy Journal  
The majority of papers we survey study the impacts of oil markets on stock markets, whereas, little research in the reverse direction exists.  ...  In light of such attention, this paper reviews research on the oil price and stock market relationship.  ...  Acknowledgements Authors would like to thank Ian Mead, David Daniels, Melissa Lynes, Thomas Lee and James Smith for their constructive comments on a previous version of this study.  ... 
doi:10.5547/01956574.39.5.sdeg fatcat:hx755ubcr5bgjf3ugcq27jjmmu
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