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Displaying 1-16 out of 16 total
Data Quality: Some Comments on the NASA Software Defect Datasets
Found in: IEEE Transactions on Software Engineering
By Martin Shepperd,Qinbao Song,Zhongbin Sun,Carolyn Mair
Issue Date:September 2013
pp. 1208-1215
Background--Self-evidently empirical analyses rely upon the quality of their data. Likewise, replications rely upon accurate reporting and using the same rather than similar versions of datasets. In recent years, there has been much interest in using machi...
 
Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network
Found in: IEEE Transactions on Knowledge and Data Engineering
By Jianbin Huang,Heli Sun,Qinbao Song,Hongbo Deng,Jiawei Han
Issue Date:August 2013
pp. 1876-1889
Clustering is an important technique for mining the intrinsic community structures in networks. The density-based network clustering method is able to not only detect communities of arbitrary size and shape, but also identify hubs and outliers. However, it...
 
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
Found in: IEEE Transactions on Knowledge and Data Engineering
By Qinbao Song, Jingjie Ni, Guangtao Wang
Issue Date:January 2013
pp. 1-14
Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points of view. W...
 
A Simple Classifier Based on a Single Attribute
Found in: 2012 IEEE 14th Int'l Conf. on High Performance Computing and Communication (HPCC) & 2012 IEEE 9th Int'l Conf. on Embedded Software and Systems (ICESS)
By Lei Du,Qinbao Song
Issue Date:June 2012
pp. 660-665
Seeking a simple but effective classifier is exciting and meaningful in both machine leaning and data mining. As usual, simplicity and high performance are two sides of a same coin. Our aim is to explore an easy-to-use classifier without losing its effecti...
 
A Study of Laplacian Spectra of Graph for Subgraph Queries
Found in: Data Mining, IEEE International Conference on
By Lei Zhu,Qinbao Song
Issue Date:December 2011
pp. 1272-1277
The spectrum of graph has been widely used in graph mining to extract graph topological information. It has also been employed as a characteristic of graph to check the sub graph isomorphism testing since it is an invariant of a graph. However, the spectru...
 
A General Software Defect-Proneness Prediction Framework
Found in: IEEE Transactions on Software Engineering
By Qinbao Song, Zihan Jia, Martin Shepperd, Shi Ying, Jin Liu
Issue Date:May 2011
pp. 356-370
BACKGROUND—Predicting defect-prone software components is an economically important activity and so has received a good deal of attention. However, making sense of the many, and sometimes seemingly inconsistent, results is difficult. OBJECTIVE—We propose a...
 
k-NN Numeric Prediction Using Bagging and Instance-relevant Combination
Found in: Data, Privacy, and E-Commerce, International Symposium on
By Liang He, Qinbao Song, Junyi Shen
Issue Date:September 2010
pp. 3-8
The fixed number of reference neighbors leads to mutable prediction errors and low overall accuracy for various unknown instances, according to existing k-NN methods. To address this problem, a bagging-based k-NN numeric prediction algorithm with attribute...
 
Reference Model of Trustworthy Proof for Trusted Components
Found in: Future Information Technology and Management Engineering, International Seminar on
By JiuSong He, Hong Hou, QinBao Song, KeGang Hao
Issue Date:December 2009
pp. 136-139
Nowadays, trusted components have become one of the most focused fields of the software engineer. Trustworthy proof is a very important part of the trusted components, and also an important basis of the trusted components evaluation and relating studies. T...
 
A Business Process Modeling and Verification Architecture
Found in: Future Information Technology and Management Engineering, International Seminar on
By Hong Hou, Shangyu Wang, Ke-gang Hao, QinBao Song
Issue Date:December 2009
pp. 73-76
Business Process modeling and verification is one of the main functions for all the workflow products. In order to detect the deadlock, the lack of synchronization and other issues in process modeling, the majority of workflow products needed to provide an...
 
The Research of Metrics Repository for Business Process Metrics
Found in: Computational Intelligence and Design, International Symposium on
By Hong Hou, Guifang You, Qinbao Song, Kegang Hao
Issue Date:December 2009
pp. 168-171
According to the reusability of its assets, metrics repository as a place to collect and store all assets in the course of the business process metrics plays a more and more important role in business process metrics, provides effective service for it, enh...
 
The Research of BPM Software Trustworthy Evaluation Model
Found in: Education Technology and Computer Science, International Workshop on
By Hong Hou, Jing Yang, Qinbao Song, Kegang Hao
Issue Date:March 2009
pp. 815-823
To deal with the selection of BPM software and lack of unified trustworthy evaluation index standards, this paper summarizes a systematic and reasonable BPM software trustworthy evaluation index system from the two dimensional prospective. By introducing a...
 
Common Software-Aging-Related Faults in Fault-Tolerant Systems
Found in: Computational Intelligence for Modelling, Control and Automation, International Conference on
By Long Zhao, QinBao Song, Lei Zhu
Issue Date:December 2008
pp. 327-331
In recent years, remarkable attention has been focused on software aging phenomena, in which the performance of software systems degrades with time. Fault-tolerant software systems which provide high assurance may suffer from such phenomena. Based on the c...
 
Availability and Cost Analysis of a Fault-Tolerant Software System with Rejuvenation
Found in: Advanced Computer Theory and Engineering, International Conference on
By Long Zhao, QinBao Song
Issue Date:December 2008
pp. 261-265
In recent years, remarkable attention has been paid to software aging phenomena, in which the performance of software systems degrades with time. Software aging may eventually leads to transient crash/hang failures. The well-known technique of software rej...
 
An Novel Association Rule Mining Based Missing Nominal Data Imputation Method
Found in: Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
By Jianhua Wu, Qinbao Song, Junyi Shen
Issue Date:August 2007
pp. 244-249
Data quality is an important but usually been ignored issue in data mining. However, in this paper, we just focus on the missing data problem, which is one factor that affects data quality. Firstly we propose an association rule mining based missing nomina...
 
Software Defect Association Mining and Defect Correction Effort Prediction
Found in: IEEE Transactions on Software Engineering
By Qinbao Song, Martin Shepperd, Michelle Cartwright, Carolyn Mair
Issue Date:February 2006
pp. 69-82
Much current software defect prediction work focuses on the number of defects remaining in a software system. In this paper, we present association rule mining based methods to predict defect associations and defect correction effort. This is to help devel...
 
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets
Found in: Software Metrics, IEEE International Symposium on
By Qinbao Song, Martin Shepperd, Carolyn Mair
Issue Date:September 2005
pp. 35
The inherent uncertainty of the software development process presents particular challenges for software effort prediction. We need to systematically address missing data values, feature subset selection and the continuous evolution of predictions as the p...
 
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