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Algorithms and Software for the Analysis of Large Complex Networks
2016
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The work presented intersects three main areas, namely graph algorithmics, network science and applied software engineering. ...
Each computational method discussed relates to one of the main tasks of data analysis: to extract structural features from network data, such as methods for community detection; or to transform network ...
-from The Unix Koans of Master Foo Part II introduces NetworKit, an open-source software package for the analysis of large complex networks. ...
doi:10.5445/ir/1000056470
fatcat:whtb2n5ds5ab5aajfjbtzg52qe
GraphCombEx: a software tool for exploration of combinatorial optimisation properties of large graphs
2018
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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2018 pre-print arXiv:1801.09229v1 fatcat:f7r77b73xrdjhd7bolnvajvqzi
We present a prototype of a software tool for exploration of multiple combinatorial optimisation problems in large real-world and synthetic complex networks. ...
Efficient representation and applicability to large-scale graphs and complex networks are particularly considered in its design. ...
very large complex networks. ...
doi:10.1007/s00500-018-3230-x
fatcat:cpaw2j6evjcifn7yrctubfs2z4
NetworKit: A Tool Suite for Large-scale Complex Network Analysis
[article]
2015
arXiv
pre-print
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We introduce NetworKit, an open-source software package for analyzing the structure of large complex networks. ...
Our goal for the software is to package results of our algorithm engineering efforts and put them into the hands of domain experts. ...
This work was partially supported by the project Parallel Analysis of Dynamic Networks -Algorithm Engineering of Efficient Combinatorial and Numerical Methods, which is funded by the Ministry of Science ...
arXiv:1403.3005v3
fatcat:5kg5gfcm4jgj3mpghtl3cssoda
Detecting Communities of Methods Using Dynamic Analysis Data
2015
2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software Metrics
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Network analysis is a promising approach to extract useful knowledge from network representations of large and complex systems. ...
Maintaining large-scale software is difficult due to the size and variable nature of such software. ...
Network analysis is can be used to assess the complexity of the software leading to network metrics of software complexity [3] , [14] . ...
doi:10.1109/wetsom.2015.11
dblp:conf/icse/DuffeeA15
fatcat:f33moambmral3jqubmt3icpq4q
Application of Bayesian Regularization Algorithm for Evaluation of Performance Software Complexity Prediction Model Based On Requirement
2019
International journal of recent technology and engineering
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This research proposes the application of the Bayesian regularization algorithm for evaluating the performance of software complexity prediction model based on requirement. ...
Model performance evaluation is a method and process of evaluating the model that has been built. The model that will be evaluated is software complexity prediction model based on requirement. ...
The following will describe the effect of basic factors, requirements factors, user terminal factors, and function points on software complexity using regression analysis. ...
doi:10.35940/ijrte.c4715.098319
fatcat:a4rvgtgj5vhobhgwvwwisla62q
NetworKit: A tool suite for large-scale complex network analysis
2016
Network Science
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We introduce NetworKit, an open-source software package for analyzing the structure of large complex networks. ...
Our goal for the software is to package results of our algorithm engineering efforts and put them into the hands of domain experts. ...
Acknowledgments This work was partially supported by the project Parallel Analysis of Dynamic Networks-Algorithm Engineering of Efficient Combinatorial and Numerical Methods, which is funded by the Ministry ...
doi:10.1017/nws.2016.20
fatcat:46nozmdun5b3pd4p3ruf74lveq
NOESIS: A Framework for Complex Network Data Analysis
2019
Complexity
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NOESIS features a large number of techniques and methods for the analysis of structural network properties, network visualization, community detection, link scoring, and link prediction. ...
Network data mining has attracted a lot of attention since a large number of real-world problems have to deal with complex network data. ...
Palacio for their contributions to the implementation of community detection methods in NOESIS. ...
doi:10.1155/2019/1439415
fatcat:hjrngg7fs5gsnhu6rwlh7elfii
Research on motif discovery algorithm in network based on MapReduce
2019
IOP Conference Series: Materials Science and Engineering
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The motif discovery algorithms in network are always serial algorithms that run on single machine, which leads to lower efficiency and cannot meet the demands for discovering motifs in large-scale networks ...
From the application test, the efficiency, speedup and expandability of the parallel algorithm are analysed and verified. ...
According to the problems above, we present a parallel motif discovery algorithm based on MapReduce Model, which is a parallel programming model, and apply it to the analysis on software network structure ...
doi:10.1088/1757-899x/490/4/042026
fatcat:m26t4xtjvnavnffncc5dknvhu4
Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
2003
Genome Research
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Introduction Cytoscape is an open source software platform for visualizing complex-networks and integrating these with any type of attribute data. Cytoscape is domain-independent making it useful in ...
Upper Mapping and Binding Exchange Layer) construction and refinement. Features of interest where: Large scale graph capable Graph filtering Graph analysis Extensibility Support for RDF(Resource ...
doi:10.1101/gr.1239303
pmid:14597658
pmcid:PMC403769
fatcat:ewd2ijw6zvfyvavr2fiqzx55oa
Comparative Analysis of Common Software Cost Estimation Modelling Techniques
2017
Mathematical Modelling and Applications
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It gives the overview of resources, efforts and time/schedule required for a software project in respect of cost to the software company. ...
Unfortunately, regardless of the large body of experienced and skilled with estimation models, the accuracy of these models is not adequate. ...
the amount of time spent in each phase
Function Point Analysis (FPA) Method The Function Point Analysis model is computing the size and complexity of a software project in terms of the functions that ...
doi:10.11648/j.mma.20170203.12
fatcat:xz2kjaysxjgqxmgxg7kk4sufua
Jaya Algorithm and Artificial Neural Network Based Approach for Object- Oriented Software Quality Analysis
2018
International Journal of Intelligent Engineering and Systems
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This paper develops a technique by using Jaya algorithm and feed-forward neural network to determine the quality of object-oriented software by using Chidamber & Kemerer (CK) along with Li & Henry metrics ...
The technique basically focuses on the maintainability factor of software quality which in turn depends upon the software complexity. ...
This work takes some changes directly proportional to the complexity of software, i.e., higher software complexity will lead to a large number of changes per class and vice-versa. ...
doi:10.22266/ijies2018.0831.27
fatcat:3agh6mwsazdtrca63ylllble4m
Explore the Community Structure of the Software Network
2017
International Journal of Future Generation Communication and Networking
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In respect of the complex software network, size and issue/bugs often have good correlation with each other; however, our results present modularity metrics are not larger for larger communities. ...
In this paper, we explore a software system of nodes and edges where nodes show as classes and the relationship between them as edges which is called a complex software network. ...
In terms of community structure and complex software network, we analysis the following measurement of software network. ...
doi:10.14257/ijfgcn.2017.10.4.11
fatcat:wh4bdrh5obdchlln25vzguhdny
Model studies of systems with diagnostics based on fault simulation
2020
IOP Conference Series: Materials Science and Engineering
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The results of the experiment on defects detection of routing and control algorithms for information statistics devices are presented for the simulated system. ...
The set of requirements and components is defined for integrate node validation algorithms into the routing environment of the information system. ...
The purpose of this article is to design an algorithm for diagnosing failures during communication for routing information complex, which includes operations for the analysis and correction of device components ...
doi:10.1088/1757-899x/734/1/012021
fatcat:awl4umfcyrevlm4xjewzgpz6yy
Community structure of complex software systems: Analysis and applications
2011
Physica A: Statistical Mechanics and its Applications
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Due to notable discoveries in the fast evolving field of complex networks, recent research in software engineering has also focused on representing software systems with networks. ...
We empirically confirm our observations on several networks constructed from Java and various third party libraries, and propose different applications of community detection to software engineering. ...
Acknowledgment The work has been supported by the Slovene Research Agency ARRS within the research program P2-0359. ...
doi:10.1016/j.physa.2011.03.036
fatcat:eutzaxcjsranvdb2j3hr7ljml4
Mining dynamic noteworthy functions in software execution sequences
2017
PLoS ONE
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Most analysis and evaluation on important entities like codesbased static structure analysis are on the destruction of the actual software running. ...
As the quality of crucial entities can directly affect that of software, their identification and protection become an important premise for effective software development, management, maintenance and ...
Comparing the results from these traditional algorithms mostly applied on complex network, the proposed model and method in this paper are much suitable for software analysis. ...
doi:10.1371/journal.pone.0173244
pmid:28278276
pmcid:PMC5344384
fatcat:zolwhttkmvf4npenlhwb2eiefe
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