A Software Network Model for Software Structure and Faults Distribution Analysis

2019 ◽  
Vol 68 (3) ◽  
pp. 844-858 ◽  
Author(s):  
Jun Ai ◽  
Wenzhu Su ◽  
Shaoxiong Zhang ◽  
Yiwen Yang
Keyword(s):  
Network Model ◽  
Distribution Analysis ◽  
Software Structure ◽  
Software Network

scholarly journals A Weighted Multi-Local-World Network Evolving Model and Its Application in Software Network Modeling

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Zengyang Li ◽  
Hui Liu ◽  
Jun-An Lu ◽  
Bing Li
Keyword(s):  
Power Law ◽  
Network Modeling ◽  
Real Life ◽  
Strength Distribution ◽  
Software Systems ◽  
Distribution Analysis ◽  
Power Law Distribution ◽  
Software Network ◽  
Evolving Model ◽  
Theoretical Results

The phenomenon of local worlds (also known as communities) exists in numerous real-life networks, for example, computer networks and social networks. We proposed the Weighted Multi-Local-World (WMLW) network evolving model, taking into account (1) the dense links between nodes in a local world, (2) the sparse links between nodes from different local worlds, and (3) the different importance between intra-local-world links and inter-local-world links. On topology evolving, new links between existing local worlds and new local worlds are added to the network, while new nodes and links are added to existing local worlds. On weighting mechanism, weight of links in a local world and weight of links between different local worlds are endowed different meanings. It is theoretically proven that the strength distribution of the generated network by the WMLW model yields to a power-law distribution. Simulations show the correctness of the theoretical results. Meanwhile, the degree distribution also follows a power-law distribution. Analysis and simulation results show that the proposed WMLW model can be used to model the evolution of class diagrams of software systems.

Metrics on Software Structure Based on Structural Features in Software Network

2014 ◽  
Vol 543-547 ◽  
pp. 3260-3263
Author(s):  
Zheng Liu ◽  
Qian Zhang ◽  
Hai Zhao
Keyword(s):  
Structural Complexity ◽  
Structural Features ◽  
Software System ◽  
Software Structure ◽  
Software Network ◽  
Definition Of

According to the problem that traditional metric methods for software structure cannot reflect the structural features of software system on macro-view, the definition of Radiation Degree is presented based on software network that directed and weighted firstly, and the structural complexity of each node and the overall complexity of the system are measured by evaluating the outward Radiation Degree and inward Radiation Degree of the node. Secondly, because inward Radiation Degree and outward Radiation Degree are different reflection of structural features, Ratio of Radiation Cycle is presented to find the nodes have both high inward Radiation Degree and outward Radiation Degree. This method is detection for defects in software structure that can find the dangerous nodes in structure in time and provide guides during developing or maintaining of software system.

scholarly journals Mining the Key Nodes from Software Network Based on Fault Accumulation and Propagation

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Huang Guoyan ◽  
Wang Qian ◽  
Liu Xinqian ◽  
Hao Xiaobing ◽  
Yan Huaizhi
Keyword(s):  
Network Model ◽  
Propagation Characteristic ◽  
Fault Propagation ◽  
Fault Probability ◽  
Software Complexity ◽  
Probability Metric ◽  
Software Network ◽  
Fault Severity ◽  
Accumulation Characteristic ◽  
Key Nodes

The increasement of software complexity directly results in the augment of software fault and costs a lot in the process of software development and maintenance. The complex network model is used to study the accumulation and accumulation of faults in complex software as a whole. Then key nodes with high fault probability and powerful fault propagation capability can be found, and the faults can be discovered as soon as possible and the severity of the damage to the system can be reduced effectively. In this paper, the algorithm MFS_AN (mining fault severity of all nodes) is proposed to mine the key nodes from software network. A weighted software network model is built by using functions as nodes, call relationships as edges, and call times as weight. Exploiting recursive method, a fault probability metric FP of a function, is defined according to the fault accumulation characteristic, and a fault propagation capability metric FPC of a function is proposed according to the fault propagation characteristic. Based on the FP and FPC, the fault severity metric FS is put forward to obtain the function nodes with larger fault severity in software network. Experimental results on two real software networks show that the algorithm MFS_AN can discover the key function nodes correctly and effectively.

A New System For Optomanual Semiautomatic Quantitative Image Analysis

1977 ◽  
Vol 35 ◽  
pp. 210-211
Author(s):  
H.P. Rohr
Keyword(s):  
Image Analysis ◽  
Volume Density ◽  
List Type ◽  
Distribution Analysis ◽  
Type Number ◽  
Point Counting ◽  
Human Eye ◽  
Quantitative Image ◽  
Point Density ◽  
Electronic Counting

Today, in image analysis the broadest possible rationalization and economization have become desirable. Basically, there are two approaches for image analysis: The image analysis through the so-called scanning methods which are usually performed without the human eye and the systems of optical semiautomatic analysis completely relying on the human eye.The new MOP AM 01 opto-manual system (fig.) represents one of the very promising approaches in this field. The instrument consists of an electronic counting and storing unit, which incorporates a microprocessor and a keyboard for choice of measuring parameters, well designed for easy use.Using the MOP AM 01 there are three possibilities of image analysis:the manual point counting,the opto-manual point counting andthe measurement of absolute areas and/or length (size distribution analysis included).To determine a point density for the calculation of the corresponding volume density the intercepts lying within the structure are scanned with the light pen.

Local atomic structure of relaxor ferroelectric solids studied by pulsed neutron scattering

1994 ◽  
Vol 52 ◽  
pp. 554-555
Author(s):  
T. Egami ◽  
H. D. Rosenfeld ◽  
S. Teslic
Keyword(s):  
Neutron Scattering ◽  
Atomic Structure ◽  
Argonne National Laboratory ◽  
Relaxor Ferroelectrics ◽  
Relaxor Ferroelectric ◽  
Crystallographic Structure ◽  
Chemical Inhomogeneity ◽  
Distribution Analysis ◽  
Ferroelectric Transition ◽  
Pulsed Neutron

Relaxor ferroelectrics, such as Pb(Mg1/3Nb2/3)O3 (PMN) or (Pb·88La ·12)(Zr·65Ti·35)O3 (PLZT), show diffuse ferroelectric transition which depends upon frequency of the a.c. field. In spite of their wide use in various applications details of their atomic structure and the mechanism of relaxor ferroelectric transition are not sufficiently understood. While their crystallographic structure is cubic perovskite, ABO3, their thermal factors (apparent amplitude of thermal vibration) is quite large, suggesting local displacive disorder due to heterovalent ion mixing. Electron microscopy suggests nano-scale structural as well as chemical inhomogeneity.We have studied the atomic structure of these solids by pulsed neutron scattering using the atomic pair-distribution analysis. The measurements were made at the Intense Pulsed Neutron Source (IPNS) of Argonne National Laboratory. Pulsed neutrons are produced by a pulsed proton beam accelerated to 750 MeV hitting a uranium target at a rate of 30 Hz. Even after moderation by a liquid methane moderator high flux of epithermal neutrons with energies ranging up to few eV’s remain.

A Network Model for Optimizing two Echelon Multi-Item Repair Level Decisions

1991 ◽  
Vol 8 (1) ◽  
pp. 77-90
Author(s):  
W. Steven Demmy ◽  
Lawrence Briskin
Keyword(s):  
Network Model
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