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检索条件"主题词=software algorithms"

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A comparison of four adaptation algorithms for increasing the reliability of real-time software

A comparison of four adaptation algorithms for increasing th...

引用

Real-Time Systems Symposium (RTSS)

作者： T.E. Bihari K. Schwan Adaptive Machine Technologies Inc. Georgia Institute of Technology USA

In a large, parallel, real-time computer system, it is frequently most cost-effective to use different software reliability techniques (e.g., retry, replication, and resource-allocation algorithms) at different levels of granularity or within different subsystems, dependent on the reliability requirements and fault models associated with each subsystem. The authors describe the results of applying four reliability algorithms, via RESAS (REal-time software Adaptation System), to a sample real-time program executing on a multiprocessor.< >

关键词： software algorithms Real time systems software performance Communication system software software systems Vehicle dynamics Concurrent computing Fault detection Hardware software tools

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Analyzing Multicast Routing algorithms on software Defined Network

Analyzing Multicast Routing Algorithms on Software Defined N...

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IEEE Region 10 Symposium

作者： Sabila Nawshin Sarah Ahsin Iffat Jahan Rabaya Jalal Moon A.K.M. Mazharul Haque Nasif Muslim Salekul Islam United International University Dhaka Bangladesh Department of Computer Science and Engineering United International University Dhaka Bangladesh

ISBN: (数字)9781728173665

ISBN: (纸本)9781728173672

The existing Internet is a network consisting of several routers and communication links, where each of the routers has the information about its adjacent routers only. As a result, the algorithms in practice are decentralized and work in a distributed setting. When forwarding a packet from a single source to multiple destinations, multicasting is the concept of sending only one packet for the common path between the source and the destinations and replicating it when the paths are divided. As the routing algorithms operate only on localized information in the present network, multicasting is a difficult task to implement. software Defined Network (SDN) provides us with a centralized view of the whole topology, opening up the opportunity to deploy more complex and efficient algorithms for multicasting. Much research has already been carried out on this field based on various dimensions of SDN. In this paper, we reviewed some of the existing algorithms associating with our target. We also tested the existing routing algorithms on SDN and conducted a comparative analysis among the algorithms to determine which one would efficiently deploy multicast routing.

关键词： Multicast algorithms Multicast communication Topology Routing Delays Streaming media software algorithms

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Automated software testing for application maintenance by using bee colony optimization algorithms (BCO)

Automated software testing for application maintenance by us...

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International Conference on Information Communication and Embedded Systems (ICICES)

作者： K. Karnavel J. Santhoshkumar Department of Computer science Engineering Anand Institute of Higher Technology India Department of Computer Science Engineering Anand Institute of Higher Technology India

The discipline of software engineering encompasses knowledge, tools, and methods for defining software requirements, and performing software design, software construction, software testing, and software maintenance tasks. In software development practice, testing accounts for as much as 50% of total development efforts. Testing can be manual, automated, or a combination of both. Manual testing is the process of executing the application and manually interacting with the application, specifying inputs and observing outputs The objective of the project is to test the software application by suitable algorithm. The proposed system has to reduce the application testing moment, easily can find out bug and solve the bug by Regression Testing. Here by we are going to using a safe efficient regression bee colony optimization algorithm(BCO) for construct control flow graphs for a procedure or program and its modified version and use these graphs to select tests that execute changed code from the original test suite. Traceability relation of completeness checking for agent errors. In traceability relation to identifying missing elements in entire application and classifying defect in the testing moment.

关键词： software Algorithm design and analysis Optimization software testing Computer bugs software algorithms

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Numerical algorithms and software for Spectral Factorization Problems

Numerical Algorithms and Software for Spectral Factorization...

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American Control Conference (ACC)

作者： Matt Wette Alan J. Laub Department of Electrical and Computer Engineering University of California Santa Barbara CA USA

Numerical algorithms for spectral factorization problems appearing in linear filtering and control are given. These algorithms are based on state space realizations of rational transfer matrices. Issues addressed incl... 详细信息

关键词： software algorithms State-space methods Poles and zeros Filtering algorithms Eigenvalues and eigenfunctions Maximum likelihood detection Nonlinear filters Application software software packages

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Performance of recovery time improvement algorithms for software RAIDs

Performance of recovery time improvement algorithms for soft...

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International Conference on Parallel and Distributed Information Systems

作者： J. Riegel J. Menon IBM Almaden Research Center San Jose CA USA

A software RAID is a RAID implemented purely in software running on a host computer. One problem with software RAIDs is that they do not have access to special hardware such as NVRAM. Thus, software RAIDs may need to check every parity group of an array for consistency following a host crash or power failure. This process of checking parity groups is called recovery, and results in long delays when the software RAID is restarted. The authors review two algorithms to reduce this recovery time for software RAIDs: the PGS bitmap algorithm and the list algorithm. They compare the performance of these two algorithms using trace-driven simulations. Their results show that the PGS bitmap algorithm can reduce recovery time by a factor of 12 with a response time penalty of less than 1%, or by a factor of 50 with a response time penalty of less than 2%, and a memory requirement of around 9 Kbytes. The list algorithm can reduce recovery time by a factor of 50 but cannot achieve a response time penalty of less than 16%.

关键词： software algorithms software performance Delay Hardware Random access memory Nonvolatile memory Computer crashes Read-write memory Databases File servers

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algorithms and software for approximating and evaluating FIR filters

Algorithms and software for approximating and evaluating FIR...

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European Control Conference (ECC)

作者： Wim Michiels Hakkı Ulaş Ünal Department of Computer Science KU Leuven Heverlee Belgium Department of Electrical and Electronics Engineering Anadolu University Eski§ehir Turkey

The controllers designed for time-delays systems often involve finite impulse response (FIR) filters, in particular prediction based controllers for systems with input/output delays. We present algorithms and software to evaluate the frequency response, to approximate the filters by stable linear time-invariant systems and to compute their induced L 2 gain. The approach is based on the theory of functions of matrices. In the approach pole zero cancelations in frequency domain representations are explicitly taken into account.

关键词： Approximation methods Eigenvalues and eigenfunctions Finite impulse response filters Approximation algorithms Transfer functions software algorithms Delays

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Enhancing software Test Effort Estimation using Ensemble Learning algorithms

Enhancing Software Test Effort Estimation using Ensemble Lea...

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Intelligent Technologies (CONIT), International Conference on

作者： K Venkatraman M Akashvarma S Siddharth Department of Computer Science & Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India

ISBN: (数字)9798350349900

ISBN: (纸本)9798350349917

In software engineering, accurate test effort prediction is critical to project schedule and resource efficiency. Conventional approaches, which depend on past performance or expert opinion, frequently fail to provide a reliable estimate of the testing effort. These approaches might offer some insight at first, but as project complexity rises, they become less scalable and more error-prone. This study explores the use of machine learning to improve the estimation of software test effort in response. This work intends to overcome the shortcomings of conventional methods and create more accurate and scalable solutions by utilising the power of machine learning algorithms. The goal of the research is to determine the best machine learning strategy for software test effort estimation through extensive testing and comparative analysis. The results of this study are compared using metrics such as RMSE, MSE, MAE, and R2 score, with Random Forest algorithm demonstrating superior performance over other algorithms.

关键词： Schedules Machine learning algorithms Accuracy software algorithms Estimation software software reliability

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A study of comparative analysis of regression algorithms for reusability evaluation of object oriented based software components

A study of comparative analysis of regression algorithms for...

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International Conference on Open Source Systems and Technologies (ICOSST)

作者： Syeda Iffat Zahara Muhammad Ilyas Tehseen Zia Department of Computer Science and Information Technology University of Sargodha Sargodha Pakistan

Reusability of software is found to be a key feature of quality. The most obvious outcomes of software reuse are overcoming the software crisis, advancing in software quality and improving productivity. The issue of spotting reusable software components from given existing system is very important but yet it is not much cultivated. For identification and evaluation of reusable software we use an approach that has foundation of software models and metrics. Idea of this study is to examine the competence and effectiveness of machine learning regression techniques which are experimented here to build precise and constructive evaluation model that can assess the reusability of Object Oriented based software components based on the values of five metrics of metrics suite presented by “Shyam R. Chaidmber and Chris F. Kemerer”. By setting different values of parameters of these algorithms, it is also concluded that which specific algorithm or class of algorithms is appropriate for reusability evaluation and with which parameter's values. For this comparative analysis we have used Weka and experimented different regression techniques as Multi-linear regression, Model Tree M5P, Standard instance-based learning scheme IBk and Meta-learning scheme Additive Regression. As the result of this analysis and experimentation “Standard instance-based learning IBk with no distance weighting” is found to be the best regression algorithm for reusability evaluation of Object Oriented software components using CK metrics.

关键词： software software algorithms Measurement Object oriented modeling Algorithm design and analysis Regression tree analysis Machine learning algorithms

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Efficient algorithms and software for detection of full-length LTR retrotransposons

Efficient algorithms and software for detection of full-leng...

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Proceedings of the IEEE Computational Systems Bioinformatics Conference, CSB

作者： A. Kalyanaraman S. Aluru Department of Electrical and Computer Engineering Iowa State University Ames IA USA

LTR retrotransposons constitute one of the most abundant classes of repetitive elements in eukaryotic genomes. In this paper, we present a new algorithm for detection of full-length LTR retrotransposons in genomic sequences. The algorithm identifies regions in a genomic sequence that show structural characteristics of LTR retrotransposons. Three key components distinguish our algorithm from that of current software-(i) a novel method that preprocesses the entire genomic sequence in linear time and produces high quality pairs of LTR candidates in running time that is constant per pair, (ii) a thorough alignment-based evaluation of candidate pairs to ensure high quality prediction, and (Hi) a robust parameter set encompassing both structural constraints and quality controls providing users with a high degree of flexibility. Validation of both our serial and parallel implementations of the algorithm against the yeast genome indicates both superior quality and performance results when compared to existing software.

关键词： software algorithms Bioinformatics Genomics Sequences Organisms software quality Robust control Quality control DNA Evolution (biology)

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algorithms And TCAD software Using Parallel Computation

Algorithms And TCAD Software Using Parallel Computation

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International Workshop on VLSI Process and Device Modeling, VPAD

作者： R.W. Dutton University of Stanford Stanford CA USA

Progress in algorithms and simulators that exploit parallel computers are reported. Results using two generations of the Intel iPSC architecture for device analysis of 2D and 3D bipolar problems are used to illustrate substantial progress being made in parallelization. New approaches in the areas of hydrodynamic and Monte Carlo analysis are also discussed.

关键词： software algorithms Concurrent computing High definition video Equations Hydrodynamics Computational fluid dynamics Monte Carlo methods Algorithm design and analysis Technological innovation Convergence

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