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Journal articles on the topic 'Software structure'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Sherrill, C. David, David E. Manolopoulos, Todd J. Martínez, and Angelos Michaelides. "Electronic structure software." Journal of Chemical Physics 153, no. 7 (2020): 070401. http://dx.doi.org/10.1063/5.0023185.

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2

Clement, Ray. "Software: Easy structure drawing." Analytical Chemistry 68, no. 19 (1996): 616A—617A. http://dx.doi.org/10.1021/ac9620876.

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3

Chivu, Catrina, Cătălin-Iulian Chivu, and Magdalena Barbu. "CADOProSys Software. General structure." MATEC Web of Conferences 94 (2017): 02003. http://dx.doi.org/10.1051/matecconf/20179402003.

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4

Fenton, Norman E., and Agnes A. Kaposi. "Metrics and software structure." Information and Software Technology 29, no. 6 (1987): 301–20. http://dx.doi.org/10.1016/0950-5849(87)90029-2.

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5

Babu, N. Suresh, and Prof G. V. Chalam Prof. G.V.Chalam. "Key Factors Influencing Capital Structure Decision of Indian Computer Software Industry." Indian Journal of Applied Research 4, no. 6 (2011): 103–5. http://dx.doi.org/10.15373/2249555x/june2014/31.

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6

Gorla, Narasimhaiah, and Ravi Ramakrishnan. "Effect of software structure attributes on software development productivity." Journal of Systems and Software 36, no. 2 (1997): 191–99. http://dx.doi.org/10.1016/0164-1212(95)00202-2.

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7

Concas, Giulio, Michele Marchesi, Cristina Monni, Matteo Orrù, and Roberto Tonelli. "Software Quality and Community Structure in Java Software Networks." International Journal of Software Engineering and Knowledge Engineering 27, no. 07 (2017): 1063–96. http://dx.doi.org/10.1142/s0218194017500401.

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We present a study of 600 Java software networks with the aim of characterizing the relationship among their defectiveness and community metrics. We analyze the community structure of such networks, defined as their topological division into subnetworks of densely connected nodes. A high density of connections represents a higher level of cooperation between classes, so a well-defined division in communities could indicate that the software system has been designed in a modular fashion and all its functionalities are well separated. We show how the community structure can be an indicator of we

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8

Magee, Jeff, and Jeff Kramer. "Dynamic structure in software architectures." ACM SIGSOFT Software Engineering Notes 21, no. 6 (1996): 3–14. http://dx.doi.org/10.1145/250707.239104.

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9

Cui, Xin. "Structure design of knowledge base of software enterprise based on project development." Functional materials 24, no. 2 (2017): 005–284. http://dx.doi.org/10.15407/fm24.02.278.

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10

Zhou, Zhi Hao, Jia Hu, and Qi Lin Zhang. "Development of CAD/CAE Software System for Raw-Soil Structure." Advanced Materials Research 201-203 (February 2011): 157–61. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.157.

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With the good ecological functions, the raw-soil structures attract attention of the people all over the world recently. According to surveys, more than 30 million farmers in China still choose to build their house using raw-soil. Since the advent of CAD/CAE techology, it became easier for engineers to design better buildings. However, for lack of adequate research on raw-soil structure, existing domestic and oversea softwares are incapable of solving the detailing work of this structure. In this paper, characteristics of the raw-soil structure and software function requirements are analyzed;

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11

Guida, Wayne C. "Software for structure-based drug design." Current Opinion in Structural Biology 4, no. 5 (1994): 777–81. http://dx.doi.org/10.1016/s0959-440x(94)90179-1.

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12

Lin Zhang, and Feng Pan. "Software Structure Entropy Evolution Trend Analysis." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 16 (2012): 510–15. http://dx.doi.org/10.4156/aiss.vol4.issue16.60.

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13

Karyakin, Y. E., I. Y. Karyakin, and Svetlana V. Karyakina. "Software Application of Material Structure Prediction." Materials Science Forum 906 (September 2017): 88–94. http://dx.doi.org/10.4028/www.scientific.net/msf.906.88.

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The developed software application allows the user to model phase transformations under isothermal conditions for a specified steel grade at arbitrary tempering temperature. Architecture of the software application using scheme of the chart of distributed computation of simulation model kinematic parameters for reducing time expenditures during computer experiments. The recognition algorithm of raster images on the isothermal and thermokinetic diagrams has been proposed. The imaging algorithm of the material structure after heat treatment have been developed.

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14

KRIEGER, JAMES. "Software predicts toxicity based on structure." Chemical & Engineering News 65, no. 19 (1987): 30. http://dx.doi.org/10.1021/cen-v065n019.p030.

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15

van den Broek, P. M., and K. G. van den Berg. "Generalised approach to software structure metrics." Software Engineering Journal 10, no. 2 (1995): 61. http://dx.doi.org/10.1049/sej.1995.0009.

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16

Dowson, M. "The structure of the software process." ACM SIGSOFT Software Engineering Notes 11, no. 4 (1986): 6–8. http://dx.doi.org/10.1145/12944.12945.

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17

Schwanke, R. W., R. Z. Altucher, and M. A. Platoff. "Discovering, visualizing, and controlling software structure." ACM SIGSOFT Software Engineering Notes 14, no. 3 (1989): 147–54. http://dx.doi.org/10.1145/75200.75223.

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18

WAN, Jiangping. "Research on Software Production Support Structure." Journal of Software Engineering and Applications 02, no. 03 (2009): 173–94. http://dx.doi.org/10.4236/jsea.2009.23025.

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19

White, Brian, Ilana Perna, and Reino Carlson. "Software for teaching structure-hydrophobicity relationships." Biochemistry and Molecular Biology Education 33, no. 1 (2005): 65–70. http://dx.doi.org/10.1002/bmb.2005.494033010427.

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20

Kanzaki, J. "Software structure for detectors at TRISTAN." Computer Physics Communications 45, no. 1-3 (1987): 485. http://dx.doi.org/10.1016/0010-4655(87)90195-0.

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21

Gibson, Virginia R., and James A. Senn. "System structure and software maintenance performance." Communications of the ACM 32, no. 3 (1989): 347–58. http://dx.doi.org/10.1145/62065.62073.

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22

Soyer, A. "LMCTEP: software for crystal-structure representation." Journal of Applied Crystallography 26, no. 3 (1993): 495. http://dx.doi.org/10.1107/s0021889892010343.

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23

Jin, Wuxia, Ting Liu, Yu Qu, Qinghua Zheng, Di Cui, and Jianlei Chi. "Dynamic structure measurement for distributed software." Software Quality Journal 26, no. 3 (2017): 1119–45. http://dx.doi.org/10.1007/s11219-017-9369-3.

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24

Cody, Vivian. "Chemical structure software for personal computers." Journal of Molecular Graphics 7, no. 3 (1989): 184. http://dx.doi.org/10.1016/0263-7855(89)80049-9.

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25

Duisterhout, Joop S., Berend Franken, and Frans Witte. "Structure and software tools of AIDA." Computer Methods and Programs in Biomedicine 25, no. 3 (1987): 259–73. http://dx.doi.org/10.1016/0169-2607(87)90083-6.

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26

Emeljanov, G. M., I. U. Zukovsky, and N. I. Smirnov. "Computer-aided ionogram reduction: Software structure." Advances in Space Research 8, no. 4 (1988): 73–76. http://dx.doi.org/10.1016/0273-1177(88)90209-8.

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27

Lu, Li Fang. "Reliability Assessment of Digital Protection Software under the Software Module Structure." Applied Mechanics and Materials 713-715 (January 2015): 2292–95. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2292.

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Today, digital protection has been widely used in the power system.Its reliability directly affects the safety operation of the entire system.However, the current study focused primarily on hardware reliability, less digital protection software reliability study.The purpose of this article is to study digital protection software reliability assessment method based on software module structure. Through the existing digital protection software reliability, performance and agility make quantitative prediction and evaluation, we analye the reliable type of digital protection software.This paper us

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28

Liu, Zheng, Qian Zhang, and Hai Zhao. "Metrics on Software Structure Based on Structural Features in Software Network." Applied Mechanics and Materials 543-547 (March 2014): 3260–63. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3260.

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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 presente

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29

Ai, Jun, Wenzhu Su, Shaoxiong Zhang, and Yiwen Yang. "A Software Network Model for Software Structure and Faults Distribution Analysis." IEEE Transactions on Reliability 68, no. 3 (2019): 844–58. http://dx.doi.org/10.1109/tr.2019.2909786.

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30

Soga, Tomiji, Teruhiro Kubota, and Tadashi Ohta. "Electronic switching system software structure considering virtualizing technique and software components." Electronics and Communications in Japan (Part I: Communications) 70, no. 10 (1987): 83–94. http://dx.doi.org/10.1002/ecja.4410701009.

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31

McCoy, Airlie J., Ralf W. Grosse-Kunstleve, Paul D. Adams, Martyn D. Winn, Laurent C. Storoni, and Randy J. Read. "Phasercrystallographic software." Journal of Applied Crystallography 40, no. 4 (2007): 658–74. http://dx.doi.org/10.1107/s0021889807021206.

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Phaseris a program for phasing macromolecular crystal structures by both molecular replacement and experimental phasing methods. The novel phasing algorithms implemented inPhaserhave been developed using maximum likelihood and multivariate statistics. For molecular replacement, the new algorithms have proved to be significantly better than traditional methods in discriminating correct solutions from noise, and for single-wavelength anomalous dispersion experimental phasing, the new algorithms, which account for correlations betweenF+andF−, give better phases (lower mean phase error with respec

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32

Et. al., A. Deiveegan,. "Service Life Prediction of Concrete Structure Using Life-365 Software." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 1816–26. http://dx.doi.org/10.17762/turcomat.v12i2.1519.

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The performances of repaired concrete structures continue to be a major global concern. This is the improvement in repairing materials and method, several repaired concrete structures still fail, leading to costly and time-consuming. This study was conducted to assess the effect of long-term chloride penetration as well as the effect of fly ash, water-cement ratio, and inhibitor on concrete structures to predict its Service life to obtained high strength durable concrete. The water-cement ratio played a vital role, as the water-cement ratio is reducing to get more service life of the concrete

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33

Ren, Ji Ping, and Cui Fang Dang. "Research on Software System Framework Based on Software Reused Technology." Applied Mechanics and Materials 536-537 (April 2014): 668–72. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.668.

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Combining the development tendency and the current situation of information system, this article provides the design idea and structure of new software system based on reused technology and information sharing principle. It also discusses the key elements and problems when the reused technology is applied into practice. It is meaningful for building the structure of the new information software system.

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34

Reddy, K. nirmal Kumar. "Capital Structure and its Impact on Profitability in Select Software Companies in South India." Indian Journal of Applied Research 2, no. 3 (2011): 108–10. http://dx.doi.org/10.15373/2249555x/dec2012/33.

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35

Wu, Xiao Mao, Hui Ming Guo, and Yong Quan Yu. "The Research for Extension Software Data Structure." Advanced Materials Research 121-122 (June 2010): 849–53. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.849.

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In this paper, we analyze the data structure of design of matter-element model from the level of software design, combined with the features of the common used data structure and matter-element model in Extenics, finally propose a new data structure model, which adapt to computation, reasoning and transformation using matter-element model.

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36

Li, Jia Wen, Xu Chen, and Bang De Li. "Frame Structure Bridge Design CAD Software Systems." Advanced Materials Research 562-564 (August 2012): 768–71. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.768.

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After the railway speeding-up, a large number of railway level-crossing has changed to the underpass or overpass type of structure. In the underpass type of structure, the most of structure take the underpass bridges or frame bridge structure. This paper put forward the level-crossing rebuild into the frame structure bridge method of design, through using the object-oriented program design method realizes the frame structure bridge automatic design analysis，calculation and drawing process, greatly enhancing the frame structure bridge design work efficiency, accelerating the changing level cros

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37

Adamov, R. "A naive approach to software structure validation." Microprocessing and Microprogramming 25, no. 1-5 (1989): 361–65. http://dx.doi.org/10.1016/0165-6074(89)90222-6.

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38

BORMAN, STU. "Software adds new dimension to structure searching." Chemical & Engineering News 67, no. 38 (1989): 28–32. http://dx.doi.org/10.1021/cen-v067n038.p028.

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39

Levitin, Gregory. "Optimal structure of fault-tolerant software systems." Reliability Engineering & System Safety 89, no. 3 (2005): 286–95. http://dx.doi.org/10.1016/j.ress.2004.09.001.

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40

Yamamoto, Akiji. "Software package for structure analysis of quasicrystals∗." Science and Technology of Advanced Materials 9, no. 1 (2008): 013001. http://dx.doi.org/10.1088/1468-6996/9/3/013001.

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41

Lee, Hye-Ryun, Seung-Hun Shin, Kyung-Hee Choi, Gi-Hyun Jung, and Seung-Kyu Park. "Constructing Software Structure Graph through Progressive Execution." Journal of the Korea Society of Computer and Information 18, no. 7 (2013): 111–23. http://dx.doi.org/10.9708/jksci.2013.18.7.111.

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42

White, Brian, Azmin Kahriman, Lois Luberice, and Farhia Idleh. "Evaluation of software for introducing protein structure." Biochemistry and Molecular Biology Education 38, no. 5 (2010): 284–89. http://dx.doi.org/10.1002/bmb.20410.

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43

Notkin, David. "Proxies: A software structure for accommodating heterogeneity." Software: Practice and Experience 20, no. 4 (1990): 357–64. http://dx.doi.org/10.1002/spe.4380200403.

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44

Wilbur, S. A., A. W. Crew, and G. Gravenstreter. "Process Protection Software Structure and Design Philosophy." IEEE Transactions on Nuclear Science 33, no. 1 (1986): 978–82. http://dx.doi.org/10.1109/tns.1986.4337262.

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45

Hihn, Jairus M., Karen Lum, and Erik Monson. "Organizational Structure Impacts Flight Software Cost Risk." Journal of Cost Analysis and Parametrics 2, no. 1 (2009): 23–36. http://dx.doi.org/10.1080/1941658x.2009.10462222.

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46

Borman, S. "Software adds new dimension to structure searching." Chemical & Engineering News 67, no. 38 (1989): 28–32. http://dx.doi.org/10.1145/70305.70306.

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47

Jackson, Michael. "Representing structure in a software system design." Design Studies 31, no. 6 (2010): 545–66. http://dx.doi.org/10.1016/j.destud.2010.09.002.

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48

PAN, WEIFENG, BING LI, BO JIANG, and KUN LIU. "RECODE: SOFTWARE PACKAGE REFACTORING VIA COMMUNITY DETECTION IN BIPARTITE SOFTWARE NETWORKS." Advances in Complex Systems 17, no. 07n08 (2014): 1450006. http://dx.doi.org/10.1142/s0219525914500064.

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It is an intrinsic property of real-world software to evolve, which is usually accompanied by the increase of software complexity and deterioration of software quality. So successful software has to be reconditioned from time to time. Though many refactoring approaches have been proposed, only a few of them are performed at the package level. In this paper, we present a novel approach to refactor the package structure of object-oriented (OO) software. It uses weighted bipartite software networks to represent classes, packages, and their dependencies; it proposes a guidance community detection

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49

ESTEVA, JUAN CARLOS, and ROBERT G. REYNOLDS. "IDENTIFYING REUSABLE SOFTWARE COMPONENTS BY INDUCTION." International Journal of Software Engineering and Knowledge Engineering 01, no. 03 (1991): 271–92. http://dx.doi.org/10.1142/s0218194091000202.

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The goal of the Partial Metrics Project is the automatic acquisition of planning knowledge from target code modules in a program library. In the current prototype the system is given a target code module written in Ada as input, and the result is a sequence of generalized transformations that can be used to design a class of related modules. This is accomplished by embedding techniques from Artificial Intelligence into the traditional structure of a compiler. The compiler performs compilation in reverse, starting with detailed code and producing an abstract description of it. The principal tas

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50

Kaeuffer, R., D. Réale, D. W. Coltman, and D. Pontier. "Detecting population structure using STRUCTURE software: effect of background linkage disequilibrium." Heredity 99, no. 4 (2007): 374–80. http://dx.doi.org/10.1038/sj.hdy.6801010.

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