Filters








387,108 Hits in 7.0 sec

An empirical comparison and characterization of high defect and high complexity modules

A. Güneş Koru, Jeff Tian
2003 Journal of Systems and Software  
We observed that the most complex modules often have an acceptable quality and HD modules are not typically the most complex ones.  ...  Our analyses also indicated that the clusters of modules with the highest defects are usually those whose complexity rankings are slightly below the most complex ones.  ...  We would like to thank Dave Frame, Tony Nguyen, and others at Nortel Networks for their help throughout this work.  ... 
doi:10.1016/s0164-1212(02)00126-7 fatcat:pl7hqznumrdnhbrfwvmeenwwta

An Empirical Comparison of Graph Databases

Salim Jouili, Valentin Vansteenberghe
2013 2013 International Conference on Social Computing  
Although there have been some comparison attempts, they are mostly focused on certain aspects only.  ...  In this paper, we present a distributed graph database comparison framework and the results we obtained by comparing four important players in the graph databases market: Neo4j, OrientDB, Titan and DEX  ...  However, the project suffers from exactly the same limitation as the HPC Scalable Graph Analysis Benchmark. In this paper, we present GDB, a distributed graph database benchmarking framework.  ... 
doi:10.1109/socialcom.2013.106 dblp:conf/socialcom/JouiliV13 fatcat:mee6m76ynbhdbpsaonlxvdjug4

An empirical comparison of social, collaborative filtering, and hybrid recommenders

Alejandro Bellogín, Iván Cantador, Fernando Díez, Pablo Castells, Enrique Chavarriaga
2013 ACM Transactions on Intelligent Systems and Technology  
We use this metric together with precision metrics in an empirical comparison of several social, collaborative filtering, and hybrid recommenders.  ...  relevance in a social network.  ...  EXPERIMENTAL COMPARISON We report in this section the results obtained in empiric observations with the different recommenders described in the previous section.  ... 
doi:10.1145/2414425.2414439 fatcat:bxc56kudc5g3bmya7sjxfvbxha

An Empirical Comparison of Dependency Network Evolution in Seven Software Packaging Ecosystems [article]

Alexandre Decan, Tom Mens, Philippe Grosjean
2017 arXiv   pre-print
This manuscript uses the libraries.io dataset to carry out a quantitative empirical analysis of the similarities and differences between the evolution of package dependency networks for seven packaging  ...  Nearly every popular programming language comes with one or more package managers. The software packages distributed by such package managers form large software ecosystems.  ...  FRQ-FNRS collaborative research project R.60.04.18.F "SECOHealth", ARC research project AUWB-12/17-UMONS-3 "Ecological Studies of Open Source Software Ecosystems", and FNRS Research Credit J.0023.16 "Analysis  ... 
arXiv:1710.04936v1 fatcat:okxlileaazbulngqn5yx55krhe

An Empirical Comparison of Big Graph Frameworks in the Context of Network Analysis [article]

Jannis Koch, Christian L. Staudt, Maximilian Vogel, Henning Meyerhenke
2016 arXiv   pre-print
We describe and compare programming models for distributed computing with a focus on graph algorithms for large-scale complex network analysis.  ...  Complex networks are relational data sets commonly represented as graphs.  ...  Complex networks present certain inherent performance challenges for distributed systems: Computation is datadriven in this case, i.e. it is largely determined by the graph structure.  ... 
arXiv:1601.00289v1 fatcat:zr3icqvs2fa4vnmjgh2il25e3e

An Empirical Comparison of Formalisms for Modelling and Analysis of Dynamic Reconfiguration of Dependable Systems [article]

Anirban Bhattacharyya and Andrey Mokhov and Ken Pierce
2016 arXiv   pre-print
This paper uses a case study to evaluate empirically three formalisms of different kinds for their suitability for the modelling and analysis of dynamic reconfiguration of dependable systems.  ...  The requirements on an ideal formalism for dynamic software reconfiguration are defined.  ...  If the interference can be controlled, then this method is the most suitable for large, complex, distributed systems, including hard real-time systems, but it is also the least researched method of software  ... 
arXiv:1609.08531v1 fatcat:4fnud2u2gfgbbmodf337c2zy2i

Modeling Toothpaste Brand Choice: An Empirical Comparison of Artificial Neural Networks and Multinomial Probit Model

Tolga Kaya, Emel Aktas, Ilker Topçu, Burç Ülengin
2010 International Journal of Computational Intelligence Systems  
To do this, based on 2597 toothpaste purchases of a panel sample of 404 households, choice models are built and their performances are compared on the 861 purchases of a test sample of 135 households.  ...  The purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector  ...  The aim of this paper was to make an empirical comparison of ANN and MNP approaches in modeling the brand choice decision in Turkish fast moving consumer goods sector.  ... 
doi:10.1080/18756891.2010.9727732 fatcat:5wjkbyo5jjek3d5u4byhcdiria

Modified Lomax Model: A heavy-tailed distribution for fitting large-scale real-world complex networks [article]

Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh, Asit K. das
2020 arXiv   pre-print
behavior of the entire degree distribution of real-world complex networks.  ...  Finally, the effectiveness of the proposed MLM model is demonstrated through rigorous experiments over fifty real-world complex networks from diverse applied domains.  ...  Motivation: Networks are a powerful way to represent and study the structure of real-world complex systems.  ... 
arXiv:1911.12612v4 fatcat:kqxdxb2ga5gnlmu2t3mjgthr3u

Evolutionary Multi-Objective Energy Production Optimization: An Empirical Comparison

Gustavo-Adolfo Vargas-Hákim, Efrén Mezura-Montes, Edgar Galván
2020 Mathematical and Computational Applications  
The Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) is also adopted in the comparison so as to enrich the empirical evidence by contrasting the NSGA-II versions against a non-Pareto-based  ...  This work presents the assessment of the well-known Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and one of its variants to optimize a proposed electric power production system.  ...  U 1 and U 2 are random numbers sampled from an uniform distribution. Wind Speed Prediction Wind speed is more complex to predict. It has two components.  ... 
doi:10.3390/mca25020032 fatcat:x3qarvy75jdp3kqpcnzy6drfmi

Model comprehension for security risk assessment: an empirical comparison of tabular vs. graphical representations

Katsiaryna Labunets, Fabio Massacci, Federica Paci, Sabrina Marczak, Flávio Moreira de Oliveira
2017 Empirical Software Engineering  
The experimental results show that tabular risk models are more effective than the graphical ones with respect to simple comprehension tasks and in some cases are more effective for complex comprehension  ...  Tabular and graphical representations are used to communicate security risk assessments for IT systems.  ...  Empirical Comparisons of Software Modelling Notations Among the works which reported empirical studies on the effectiveness of visual vs. textual notions focusing on the early stages of software development  ... 
doi:10.1007/s10664-017-9502-8 fatcat:hsi7hykrnvcibnav53enqbyvy4

An Empirical Comparison Of Supervised Learning Algorithms In Disease Detection

S Aruna, Rajagopalan, Nandakishore
2011 International Journal of Advanced Information Technology  
In this paper empirical comparison is carried out with various supervised algorithms.  ...  We studied the performance criterion of the machine learning tools such as Naïve Bayes, Support vector machines, Radial basis neural networks, Decision trees J48 and simple CART in detecting diseases.  ...  Bauer et al [15] did empirical analysis about different statistical methods such as bagging and boosting.  ... 
doi:10.5121/ijitcs.2011.1408 fatcat:y52sgwzbz5d7hlmrpm2yrmfdfa

An empirical comparison of methods to support QoS-aware service selection

Bice Cavallo, Massimiliano Di Penta, Gerardo Canfora
2010 Proceedings of the 2nd International Workshop on Principles of Engineering Service-Oriented Systems - PESOS '10  
This paper presents an empirical study aimed at comparing different approaches for QoS forecasting, namely the use of average and current values, linear models, and models based on time series.  ...  Run-time binding is an important and useful feature of Service Oriented Architectures (SOA), which aims at selecting, among functionally equivalent services, the ones that optimize some QoS objective of  ...  With respect to the existing state-of-the-art, however, the present work, in the authors' knowledge, is the first that reports an empirical evaluation and comparison-upon time series of real observations  ... 
doi:10.1145/1808885.1808899 dblp:conf/icse/CavalloPC10 fatcat:tviq77dutrbcxmyrl2fzclkjba

An Empirical Comparison of SVM and Some Supervised Learning Algorithms for Vowel recognition [article]

Rimah Amami, Dorra Ben Ayed, Noureddine Ellouze
2015 arXiv   pre-print
Thus, we present an empirical comparison between five supervised learning classifiers and two combined classifiers: SVM, KNN, Naive Bayes, Quadratic Bayes Normal (QDC) and Nearst Mean.  ...  In this article, we conduct a study on the performance of some supervised learning algorithms for vowel recognition. This study aims to compare the accuracy of each algorithm.  ...  This paper presents results of an empirical comparison of seven supervised learning algorithms for vowel recognition.  ... 
arXiv:1507.06021v1 fatcat:5melrydyyraqrbomfu35aa5hqu

An empirical comparison of formalisms for modelling and analysis of dynamic reconfiguration of dependable systems

Anirban Bhattacharyya, Andrey Mokhov, Ken Pierce
2017 Formal Aspects of Computing  
An empirical comparison of formalisms for modelling and analysis of dynamic reconfiguration of dependable systems 253 Existing research in Case 3 has focused on timing interference between application  ...  An empirical comparison of formalisms for modelling and analysis of dynamic reconfiguration of dependable systems 255 F10 The formalism should be as terse as possible.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution  ... 
doi:10.1007/s00165-016-0405-z fatcat:wdpmcwcq5zgbhhjtipb6375cju

An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification [chapter]

Márjory Abreu, Michael Fairhurst
2008 Lecture Notes in Computer Science  
This paper describes an empirical study to investigate the performance of a wide range of classifiers deployed in applications to classify biometric data.  ...  The study specifically reports results based on two different modalities, the handwritten signature and fingerprint recognition.  ...  This paper reports on an empirical study which addresses these fundamental questions.  ... 
doi:10.1007/978-3-540-89991-4_14 fatcat:zxvaod3egfgdxdpp5bx6jbklra
« Previous Showing results 1 — 15 out of 387,108 results