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检索条件"主题词=software algorithms"

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Knowledge-based software testing agent using evolutionary learning with cultural algorithms

Knowledge-based software testing agent using evolutionary le...

引用

Congress on Evolutionary Computation

作者： D.A. Ostrowski R.G. Reynolds Scientific Research Laboratory Ford Motor Company Limited Dearborn MI USA Department of Computer Science Wayne State University Detroit MI USA

software testing is extremely difficult in the context of large scale engineering applications. We suggest that the application of the white and black box testing methods within a cultural algorithm environment will present a successful approach to fault detection. In order to utilize both a functional approach and a structural approach, two cultural algorithms will be applied within this tool. The first cultural algorithm will utilize the black box testing by learning equivalence classes of faulty input/output pairs. These equivalence classes are then passed over to the second cultural algorithm that will apply program slicing techniques to determine program slices from the data. The goal will be to pinpoint specific faults within the program design. Through the searching of the program code, this approach can be considered as behavioral mining of a program.

关键词： software testing Cultural differences software algorithms System testing Large-scale systems Application software Laboratories Programming software maintenance software systems

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Search-Based software Testing Driven by Bioinspired algorithms: A Systematic Literature Mapping

Search-Based Software Testing Driven by Bioinspired Algorith...

引用

International Conference in software Engineering Research and Innovation (CONISOFT)

作者： Joshua E. Hernández-Suárez Mario A. Jiménez-Jiménez Saúl Domínguez-Isidro Jorge Octavio Ocharán-Hernández Facultad de Estadistíca e Informática Universidad Veracruzana Xalapa México

ISBN: (数字)9798331532116

ISBN: (纸本)9798331532123

Bioinspired algorithms have gained relevance in Search-Based software Testing (SBST) mainly because they can find multiple solutions to difficult-to-solve problems. Exploring the usage trends and elements of its implementation is necessary for software engineering since it allows for understanding the area's current state and proposing guidelines for innovation. We proposed a Systematic Literature Mapping to analyze the canonical bioinspired algorithms used in SBST. During the mapping conduction, 60 studies were analyzed, in which bio-inspired algorithms were used in different software testing activities, such as test data generation, test case generation, test case prioritization, and others. The practical implications of our research are significant. The most commonly applied bioinspired algorithms in these activities are the Genetic Algorithm, Particle Swarm Optimization, and Ant Colony Optimization. Concerning problem types, most of these algorithms are focused on single-objective, with or without constraints, and, to a lesser extent, multi-objective and phased problems. According to the results, SBST driven by bio-inspired algorithms favors variables such as execution time and computational cost. Code coverage is usually used as a performance metric to evaluate its effectiveness. The application of canonical bioinspired algorithms mainly seeks to solve single-objective problems.

关键词： software testing Measurement Technological innovation Systematics Codes software algorithms Data collection Computational efficiency Genetic algorithms software engineering

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Search speed and power driven integrated software and hardware optimizations for motion estimation algorithms

Search speed and power driven integrated software and hardwa...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Shengqi Yang W. Wolf N. Vijaykrishnan EE Department Princeton University USA Microsystems Design Lab The Penn State University

The motion estimation (ME) is the most time consuming and power demanding module in a video encoder. In this paper, we provide the first detailed instruction-level simulation results on motion estimation. Firstly, we analyze various aspects of the selected seven typical motion estimation algorithms, such as search speed, instruction frequencies, branch behavior, and power distribution. Then, we propose suitable compiler techniques, hardware techniques and optimal instruction set architecture to speed up and reduce the power consumption of the motion estimation. SimpleScalar and SimplePower are used to simulate the effects of the optimizations on the motion estimation algorithms. Experimental results show that the execution time spent on motion vector search for one frame are averagely reduced by 39% and the power consumption is reduced by 62% by applying these techniques

关键词： Hardware Motion estimation software algorithms Multilevel systems Clocks Frequency selective surfaces Algorithm design and analysis Energy consumption Timing Instruction sets

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Applicability of Process Discovery algorithms for software Organizations

Applicability of Process Discovery Algorithms for Software O...

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Euromicro Conference on software Engineering and Advanced Applications (SEAA)

作者： Burcu Akman Onur Demirörs STM A Ş Ankara Turkey Informatics Institute METU Turkey

Process modeling is one of the most significant tasks software process improvement teams perform. Conventionally modeling is performed by teams composed of domain experts and process engineers and it takes considerable effort and time. In recent years there have been studies which use the data extracted from the actual events that took place to determine process models. In this paper we present the results of a case study we conducted to determine the effectiveness of four process discovery and process mining algorithms. After applying process discovery algorithms we compare the results by the actual process and process definitions. We discuss the discrepancies between the actual flow and the process definitions, and the weaknesses and strong aspects of the algorithms.

关键词： software algorithms Data mining Open source software software performance software tools software engineering Application software Informatics Algorithm design and analysis Programming

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Clustering of software Systems Using New Hybrid algorithms

Clustering of Software Systems Using New Hybrid Algorithms

引用

International Conference on Computer and Information Technology (CIT)

作者： Ali Safari Mamaghani Mohammad Reza Meybodi Computer Engineering Department Islamic Azad University Bonab Iran Computer Engineering and Information Technology Department Amirkabir University of Technology슠 Tehran Iran

software clustering is a method for increasing software system understanding and maintenance. software designers, first use MDG graph to model the structure of software system. In MDG, system modules (e.g. files ,classes) are represented as nodes and their relationships (e.g. function calls , inheritance relationships) as directed edges that connect the nodes. Once the MDG created, clustering algorithms are applied and create a partitioned MDG. Graph partitioning is a NP-Complete problem, So many algorithms for solving it has been reported in the literatures. In this paper two approximate algorithms have been proposed. The first algorithm is based on object migration learning automata and the second algorithm is a hybrid evolutionary algorithm obtained from combining object migration learning automata and genetic algorithm. The second algorithm by using learning automata and genetic algorithm accelerates the searching process and also prevents the algorithm from getting stuck in local optimal. Another positive point of the proposed algorithm is high stability. The proposed algorithms have been compared with some of the existing algorithms. Results show that the second algorithm has superiority over the existing methods.

关键词： software systems Clustering algorithms software algorithms Partitioning algorithms Learning automata Genetic algorithms software maintenance software design NP-complete problem Evolutionary computation

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software platform for PMU algorithms testing

Software platform for PMU algorithms testing

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Conference on Precision Electromagnetic Measurements (CPEM)

作者： Umberto Pogliano Jean-Pierre Braun Boštjan Volj Rado Lapuh Istituto Nazionale di Ricerca Metrologica Torino Italy Federal Office of Metrology (METAS) Bern-Wabern Switzerland Slovenian Institute of Quality and Metrology Ljubljana Slovenia

ISBN: (纸本)9781467304399

This paper describes a software platform used for the testing of PMU algorithms. The platform is implemented in MATLAB and consists of two parts. The first one permits the insertion of the simulation parameters while the second is the actual simulator for the algorithms. The second program contains a waveform generator including modulation and filtering. It also permits the comparison between the results of the PMU algorithm against those of an “ideal PMU”. The platform has been tested for its functionality and is used as a shared tool to quantify the uncertainties of the estimation algorithms developed in the framework of the EMRP project “Smart Grids”.

关键词： Phasor measurement units software algorithms Signal generators software Smart grids Algorithm design and analysis Testing

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Complex polynomials in communications: motivation, algorithms, software

Complex polynomials in communications: motivation, algorithm...

引用

IEEE International Symposium on Computer Aided Control System Design (CACSD)

作者： M. Hromcik M. Sebek J. Jezek Centre for Applied Cybernetics Czech Technical University Prague Czech Republic Institute of Information Theory and Automation AS CR Prague Czech Republic

Quite recently the polynomial design methods found a new great field of application outside the control area: the algebraic approach has been used successfully in signal processing and mobile communications. In contrast to the control systems synthesis, polynomials and polynomial matrices with complex coefficients are often required when designing filters, equalizers, decouplers and other components of mobile phones for instance. Polynomial Toolbox for Matlab admits complex polynomials in most computations, including Diophantine equations and spectral factorizations. As a result, the toolbox appears a suitable tool for rapid prototyping whenever polynomial design routines with complex coefficients are required. The objective of this report is twofold. First, we explain in a clear and popular manner how the complex coefficients arise in technical practice. Based on this motivation, we present important numerical algorithms for complex polynomials and polynomial matrices and their implementation in the Polynomial Toolbox for Matlab. Finally, the power of the Toolbox is illustrated by selected numerical examples involving complex coefficients.

关键词： Polynomials software algorithms Signal processing algorithms Mobile communication Design methodology Application software Communication system control Control system synthesis Filters Equalizers

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Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule

Statistical non-parametric algorithms to estimate the optima...

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Pacific Rim International Symposium on Dependable Computing

作者： T. Dohi K. Goseva-Popstojanova K.S. Trivedi Department of Industrial and Systems Engineering Hiroshima University Higashi Hiroshima Japan Department of Electrical and Computer Engineering Duke University Durham NC USA

In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvenation schedule. More precisely, the software rejuvenation models are formulated via the semi-Markov processes, and the optimal software rejuvenation schedules which maximize the system availabilities are derived analytically for respective cases. Further, we develop nonparametric statistical algorithms to estimate the optimal software rejuvenation schedules, provided that the statistical complete (unsensored) sample data of failure times is given. In numerical examples, we examine asymptotic properties for the statistical estimation algorithms.

关键词： software algorithms Scheduling algorithm Job shop scheduling Aging Application software software testing Availability Humans software performance software safety

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Estimating Parameters of Van Genuchten Equation Based on Intelligent algorithms and RETC software

Estimating Parameters of Van Genuchten Equation Based on Int...

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International Symposium on Computer Science and Society (ISCCS)

作者： Xu Yang Xueyi You Min Ji Liuming Pan Xiuduo Wang Lejun Zhao School of Environmental Science and Engineering Tianjin University TJU Tianjin China Tianjin Municipal Engineering Design and Research Institute Tianjin China

In order to explore optimization effects of RETC software and intelligent algorithms, including genetic algorithm, simulated annealing algorithm and particle swarm optimization, on parameters of Van Genuchten (VG)Equation for the soil water characteristic curve of urban green space, the soil drying curve of green space was obtained by using the tensiometer method in this study, where RETC software, genetic algorithm, simulated annealing algorithm and particle swarm optimization we reconstructed to solve parameters of VG Equation. The results indicated that the parameter fitting results of VG Equation determined by RETC software and three intelligent algorithms were very close to experimental results with a very high simulation accuracy (R 2 = 0.996) in given conditions, moreover, the fitting effect of intelligent algorithms was better than that of RECT software.

关键词： Soil Mathematical model Equations Water software algorithms software Fitting

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Analyzing Multicast Routing algorithms on software Defined Network

Analyzing Multicast Routing Algorithms on Software Defined N...

引用

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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