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Books on the topic 'Software comparison'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

James, Purtilo, and Zelkowitz Marvin V. 1945-, eds. Software specification: A comparison of formal methods. Norwood, N.J: Ablex Pub. Co., 1994.

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2

Botterbusch, Karl F. A comparison of computerized job matching systems. Menomonie, Wis: Materials Development Center, Stout Vocational Rehabilitation Institute, School of Education and Human Services, University of Wisconsin-Stout, 1986.

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3

Gale, Julia. A comparison of U.S. and Japanese software process maturity. Pittsburgh: Research Access Inc., 1991.

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4

Jung, Young Je. Data compression and archiving software implementation and their algorithm comparison. Monterey, Calif: Naval Postgraduate School, 1992.

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5

Zeidman, Robert. The software IP detective's handbook: Measurement, comparison, and infringement detection. Upper Saddle River, NJ: Prentice Hall, 2011.

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6

Shimeall, Tomothy J. An empirical comparison of software fault tolerance and fault elimination. Monterey, California: Naval Postgraduate School, 1989.

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7

Zeidman, Robert. The software IP detective's handbook: Measurement, comparison, and infringement detection. Upper Saddle River, NJ: Prentice Hall, 2011.

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8

Hannah, Stan A. A comparison of software methodologies in the development of a serials control system. Ann Arbor, Mich: University Microfilms International, 1994.

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9

O'Reilly, Brendan. The comparison of software engineering and human computer interaction approaches to system development. [s.l: The author], 1998.

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10

Cusumano, Michael A. Hardware and software customer satisfaction in Japan: A comparison of U.S. and Japanese vendors. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1988.

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11

1966-, Engelhardt Kai, and Buth Karl-Heinz, eds. Data refinement: Model-oriented proof methods and their comparison. Cambridge, UK: Cambridge University Press, 1998.

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12

Hakim, Daulath. A comparison of Ward-Mellor structured analysis and Shlaer-Mellor object-oriented analysis for engineering real-time software. Manchester: UMIST, 1994.

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13

Masters, Christopher Robert Otis. The application of synchronised chaos to robust communications: A comparison of software simulated non-linear synchronisation and communication schemes. Oxford: Oxford Brookes University, 2001.

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14

Cooil, John A. An i nvestigation and comparison of object oriented and traditional analysis and design methodologies in relation to development of a musical software package. London: University of East London, 1992.

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15

Preece, Guy Joseph. The infringement of copyright in computer software by non-textual copying: An examination of, and comparison between, the law of England and the United States of America. Wolverhampton: University of Wolverhampton, 1994.

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16

Knopp, Tom. A comparison of the African Doppler Survey Project point position results using various softwares. Columbus, Ohio: Dept. of Geodetic Science and Surveying, Ohio State University, 1987.

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17

Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects). The second edition is supplemented by materials that are in demand by researchers in the part of the correct use of clustering algorithms. Are elements of the classification algorithms to identify their capabilities, strengths and weaknesses. Are the procedures of justification and verify the adequacy of the results of the cluster analysis, conducted a comparison and evaluation of different clustering techniques, given information about visualization of multidimensional data and examples of practical application of clustering algorithms. Meets the requirements of Federal state educational standards of higher education of the last generation. For students of economic specialties, specialists, and graduate students.

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18

Cooil, John. Investigation and comparision of object oriented and traditional analysis and design methodogies in relation to development of a musical software package. London: University ofEast London, 1992.

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19

Graphics, RLS. 2000/2001 Steel Detailing Software Comparison. RLS Graphics, 2000.

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20

Archer, Catherine A. A comparison of software cost estimation models. Bradford, 1986.

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21

Comparison of Spectral Analysis Software Programs (RobWin and RSEMCA). Storming Media, 2001.

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22

Malone, Robert. The 1998 Plant Floor Automation Software Comparison CD-ROM. Thomas Publishing Company (NY), 1998.

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23

Comparison study of gear dynamic computer programs at NASA Lewis Research Center. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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24

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Comparison study of gear dynamic computer programs at NASA Lewis Research Center. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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25

1974-, Wan Yun, ed. Comparison-shopping services and agent designs. Hershey PA: Information Science Reference, 2009.

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26

Advanced software development workstation: Comparison of two object-oriented development methodologiess : interim report. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.

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27

United States. National Aeronautics and Space Administration., ed. Advanced software development workstation: Comparison of two object-oriented development methodologiess : interim report. [Houston, Tex.]: Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1992.

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28

Zelkowitz, Marvin V., James M. Purtilo, and John D. Gannon. Software Specification: A Comparison of Formal Methods (Computer Based Information Systems in Organizations). Ablex Publishing Corporation, 1993.

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29

Mclane, Dawn. AAAHC-Joint Commission-CMS Crosswalk: A Side-by-Side Comparison of Ambulatory Care Requirements, The. HCPro Inc., 2007.

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30

Roever, Willem-Paul de, and Kai Engelhardt. Data Refinement: Model-Oriented Proof Methods and their Comparison (Cambridge Tracts in Theoretical Computer Science). Cambridge University Press, 2001.

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31

Osterweil, Leon, and Xiping Song. Understanding Software Design Methodologies: Comparisons and Integrations. Oxford University Press, 2007.

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32

Mutsaers, Paul, and Marja-Liisa Trux. In Search of the ‘Real’. Edited by Regine Bendl, Inge Bleijenbergh, Elina Henttonen, and Albert J. Mills. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199679805.013.10.

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This chapter presents a comparison of two ethnographic case studies in two different national contexts, with the purpose of separating the rhetorics from the realities in the field of diversity management. It counterweighs mainstream diversity management literature by discussing (1) the disadvantages of certain offshoots of diversity management discourses for ethnic minority police officers in the Netherlands and (2) the benefits of the absence of diversity management for software engineers working in a highly internationalized high-tech company in Finland, a company characterized by a strong tradition of ‘organizational democracy’. The two studies are based on long-term fieldwork in both organizational settings, including several years of participant observation.

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33

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. DNA metabarcoding data analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0008.

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DNA metabarcoding generates huge amounts of data containing noise introduced by molecular methods. Chapter 8 “DNA metabarcoding data analysis” discusses the analytic steps and available software to curate and evaluate DNA metabarcoding data prior to final ecological analyses. It provides command lines to perform primary analyses of Illumina sequencing data with the OBITools, ranging from read assignment to samples to the formation of molecular operational taxonomic units (MOTUs) and their assignment to a taxon through comparison against reference databases. Chapter 8 also develops several methods to further curate sequencing data from contaminants or dysfunctional PCRs by using DNA extraction, PCR, and sequencing blank controls as well as PCR/biological replicates. It also presents several classical analyses to ensure that the diversity of the sample or the study site is appropriately covered. Finally, this chapter considers what conclusions on biodiversity and ecological processes can be really drawn from metabarcoding data.

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34

Hirschman, Lynette, and Inderjeet Mani. Evaluation. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0022.

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The commercial success of natural language (NL) technology has raised the technical criticality of evaluation. Choices of evaluation methods depend on software life cycles, typically charting four stages — research, advance prototype, operational prototype, and product. At the prototype stage, embedded evaluation can prove helpful. Analysis components can be loose grouped viz., segmentation, tagging, extracting information, and document threading. Output technologies such as text summarization can be evaluated in terms of intrinsic and extrinsic measures, the former checking for quality and informativeness and the latter, for efficiency and acceptability, in some tasks. ‘Post edit measures’ commonly used in machine translation, determine the amount of correction required to obtain a desirable output. Evaluation of interactive systems typically evaluates the system and the user as one team and deploys subject variability, which runs enough subjects to obtain statistical validity hence, incurring substantial costs. Evaluation being a social activity, creates a community for internal technical comparison, via shared evaluation criteria.

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35

Center, NASA Glenn Research, ed. An evaluation of an analytical simulation of an airplane with tailplane icing by comparision to flight data. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2000.

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36

Hörnle, Julia. Internet Jurisdiction Law and Practice. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198806929.001.0001.

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Jurisdiction is the foundational concept for both national laws and international law as it provides the link between the sovereign government and its territory, and ultimately its people. The internet challenges this concept at its root: data travels across the internet without respecting political borders or territory. This book is about this Jurisdictional Challenge created by internet technologies. The Jurisdictional Challenge arises as civil disputes, criminal cases, and regulatory action span different countries, rising questions as to the international competence of courts, law enforcement, and regulators. From a technological standpoint, geography is largely irrelevant for online data flows and this raises the question of who governs “YouTubistan.” Services, communication, and interaction occur online between persons who may be located in different countries. Data is stored and processed online in data centres remote from the actual user, with cloud computing provided as a utility. Illegal acts such as hacking, identity theft and fraud, cyberespionage, propagation of terrorist propaganda, hate speech, defamation, revenge porn, and illegal marketplaces (such as Silkroad) may all be remotely targeted at a country, or simply create effects in many countries. Software applications (“apps”) developed by a software developer in one country are seamlessly downloaded by users on their mobile devices worldwide, without regard to applicable consumer protection, data protection, intellectual property, or media law. Therefore, the internet has created multi-facetted and complex challenges for the concept of jurisdiction and conflicts of law. Traditionally, jurisdiction in private law and jurisdiction in public law have belonged to different areas of law, namely private international law and (public) international law. The unique feature of this book is that it explores the notion of jurisdiction in different branches of “the” law. It analyses legislation and jurisprudence to extract how the concept of jurisdiction is applied in internet cases, taking a comparative law approach, focusing on EU, English, German, and US law. This synthesis and comparison of approaches across the board has produced new insights on how we should tackle the Jurisdictional Challenge. The first three chapters explain the Jurisdictional Challenge created by the internet and place this in the context of technology, sovereignty, territory, and media regulation. The following four chapters focus on public law aspects, namely criminal law and data protection jurisdiction. The next five chapters are about private law disputes, including cross-border B2C e-commerce, online privacy and defamation disputes, and internet intellectual property disputes. The final chapter harnesses the insights from the different areas of law examined.

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