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Measuring Structural Quality of Object-Oriented softwares via Bug Propagation Analysis on Weighted software networks

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Journal of Computer Science & Technology 2010年第6期25卷 1202-1213页

作者：潘伟丰李兵马于涛覃叶宜周晓燕 State Key Laboratory of software Engineering Wuhan University School of Computer Wuhan University Complex networks Research Center Wuhan University

The quality of a software system is partially determined by its structure（topological structure）,so the need to quantitatively analyze the quality of the structure has become *** this paper a novel metric called software quality of structure（SQoS） is presented for quantitatively measuring the structural quality of object-oriented（OO） softwares via bug propagation analysis on weighted software networks（WSNs）.First,the software systems are modeled as a WSN,weighted class dependency network（WCDN）,in which classes are nodes and the interaction between every pair of classes if any is a directed edge with a weight indicating the probability that a bug in one class will propagate to the *** we analyze the bug propagation process in the WCDN together with the bug proneness of each class,and based on this,a metric（SQoS） to measure the structural quality of OO softwares as a whole is *** approach is evaluated in two case studies on open source Java programs using different software structures（one employs design patterns and the other does not） for the same OO *** results of the case studies validate the effectiveness of the proposed *** approach is fully automated by a tool written in Java.

关键词： bug propagation design pattern object-oriented(OO) software software network structural quality

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Correlations between characteristics of maximum influence and degree distributions in software networks

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Science China(Information Sciences) 2014年第7期57卷 25-36页

作者： GU Qing XIONG ShiJie CHEN DaoXu National Key Lab of Novel software Technology and Department of Computer Science and Technology Nanjing University National Laboratory of Solid State Microstructures and Department of Physics Nanjing University

software systems can be represented as complex networks and their artificial nature can be investigated with approaches developed in network *** maximization has been successfully applied on software networks to identify the important nodes that have the maximum influence on the other ***,research is open to study the effects of network fabric on the influence behavior of the highly influential *** this paper,we construct class dependence graph(CDG)networks based on eight practical Java software systems,and apply the procedure of influence maximization to study empirically the correlations between the characteristics of maximum influence and the degree distributions in the software *** demonstrate that the artificial nature of CDG networks is reflected partly from the scale free behavior:the in-degree distribution follows power law,and the out-degree distribution is *** the influence behavior,the expected influence spread of the maximum influence set identified by the greedy method correlates significantly with the degree *** addition,the identified influence set contains influential classes that are complex in both the number of methods and the lines of code(LOC).For the applications in software engineering,the results provide possibilities of new approaches in designing optimization procedures of software systems.

关键词： software network scale free influence maximization power law complex network

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