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1

Zeidman, Bob. „Software v. Software“. IEEE Spectrum 47, Nr. 10 (Oktober 2010): 32–53. http://dx.doi.org/10.1109/mspec.2010.5583460.

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2

Voas, J. „Software's secret sauce: the "-ilities" [software quality]“. IEEE Software 21, Nr. 6 (November 2004): 14–15. http://dx.doi.org/10.1109/ms.2004.54.

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3

Mamoriya, Alka. „Open-Source Software and Proprietary Software for Library Automation“. Journal of Advanced Research in Library and Information Science 08, Nr. 02 (09.07.2021): 1–3. http://dx.doi.org/10.24321/2395.2288.202101.

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By using library automation software the work gets done easily and quickly. There is no error in library housekeeping operation and solve many issues like stock verification, bibliography, OPAC search operation easily by library automation software. Open-source software is Open bibliog. library management software, KOHA, Avanti. Proprietary software is e-Granthalaya, SOUL, TLSS, and Libsys. By using any software handling library housekeeping and administrative work is very easy and reduces duplication. Many modules are available in software for library operation and each has its unique quality by which the work can be done easily.
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4

Mamoriya, Alka. „Open-Source Software and Proprietary Software for Library Automation“. Journal of Advanced Research in Library and Information Science 08, Nr. 02 (09.07.2021): 1–3. http://dx.doi.org/10.24321/2395.2288.202101.

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By using library automation software the work gets done easily and quickly. There is no error in library housekeeping operation and solve many issues like stock verification, bibliography, OPAC search operation easily by library automation software. Open-source software is Open bibliog. library management software, KOHA, Avanti. Proprietary software is e-Granthalaya, SOUL, TLSS, and Libsys. By using any software handling library housekeeping and administrative work is very easy and reduces duplication. Many modules are available in software for library operation and each has its unique quality by which the work can be done easily.
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5

Mamoriya, Alka. „Open-Source Software and Proprietary Software for Library Automation“. Journal of Advanced Research in Library and Information Science 08, Nr. 02 (09.07.2021): 1–3. http://dx.doi.org/10.24321/2395.2288.202101.

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By using library automation software the work gets done easily and quickly. There is no error in library housekeeping operation and solve many issues like stock verification, bibliography, OPAC search operation easily by library automation software. Open-source software is Open bibliog. library management software, KOHA, Avanti. Proprietary software is e-Granthalaya, SOUL, TLSS, and Libsys. By using any software handling library housekeeping and administrative work is very easy and reduces duplication. Many modules are available in software for library operation and each has its unique quality by which the work can be done easily.
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6

Pineda Ballesteros, Eliécer, Freddy Reynaldo Tellez Acuña und Javier Medina Cruz. „Software requirements: prototyping, legacy software, and document analysis“. Ingeniería y Desarrollo 37, Nr. 2 (24.03.2020): 327–45. http://dx.doi.org/10.14482/inde.37.2.1053.

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7

Habli, Ibrahim, Richard Hawkins und Tim Kelly. „Software safety: relating software assurance and software integrity“. International Journal of Critical Computer-Based Systems 1, Nr. 4 (2010): 364. http://dx.doi.org/10.1504/ijccbs.2010.036605.

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8

Munson, John C. „Software faults, software failures and software reliability modeling“. Information and Software Technology 38, Nr. 11 (November 1996): 687–99. http://dx.doi.org/10.1016/0950-5849(96)01117-2.

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9

Bahrami, Mehdi, und Mohammad Bahrami. „A Review of Software Architecture for Collaborative Software’s“. Advanced Materials Research 433-440 (Januar 2012): 2372–76. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2372.

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Software architecture has emerged as an important sub-discipline of software engineering; particularly in the realm of large system development. Collaboration software applications are inherently cooperative, requiring many software applications to coordinate their efforts to produce a software system application. Integral to this effort is developing shared understanding surrounding multiple artifacts, each artifact embodying its own model, over the entire development process. This focus on model collaboration embedded within a larger process is what distinguishes collaboration research in software engineering from broader collaboration research. This article first review a list of goals for software architecture, then collaboration software application, several possible future directions for collaboration in software engineering is presented. The article concludes by noting a problem in performing research on collaborative systems.
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10

Rine, David. „Software perfective maintenance: Including retrainable software in software reuse“. Information Sciences 75, Nr. 1-2 (Dezember 1993): 109–32. http://dx.doi.org/10.1016/0020-0255(93)90116-4.

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11

Vaníček, J. „Software quality requirements“. Agricultural Economics (Zemědělská ekonomika) 52, No. 4 (17.02.2012): 177–85. http://dx.doi.org/10.17221/5014-agricecon.

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At the present time, the international standards and technical reports for system and software product quality are dispersed in several series of normative documents (ISO/IEC 9126, ISO/IEC 14598, ISO/IEC 12119 etc.). These documents are not purely consistent and do not contain a tools for exact requirements set-ups. As quality is defined as a degree to which the set of inherent characteristic fulfils requirements, the exact requirement formulation is the key point for the quality measurement evaluation. This paper presents the framework for quality requirements for software, which is recommendable to use in the new international standard series ISO/IEC 250xx developed on the SQuaRE (Software Quality Requirements and Evaluation) standardisation research project. The main part of this contribution was presented on the conference Agrarian Perspectives XIV, organised by the Czech University of Agriculture in Prague, September 20 to 21, 2005.
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12

Aksatha, Mrs D. Seema Dev, und M. Blessing Marshal. „Software Piracy Protection“. International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (30.04.2019): 243–46. http://dx.doi.org/10.31142/ijtsrd21705.

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13

Tharmaseelan, Janani. „Cohesive Software Design“. International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (30.04.2019): 955–57. http://dx.doi.org/10.31142/ijtsrd22900.

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14

Gupta, Karan, und Anita Goel. „Software Engineering for Tagging Software“. International Journal of Software Engineering & Applications 4, Nr. 4 (31.07.2013): 65–76. http://dx.doi.org/10.5121/ijsea.2013.4406.

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15

Amirat, Abdelkrim, Halima Bahi, Mourad Oussalah und Ahcene Menasria. „Software connector as software process“. International Journal of Simulation and Process Modelling 17, Nr. 4 (2021): 231. http://dx.doi.org/10.1504/ijspm.2021.10046773.

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16

Menasria, Ahcene, Mourad Oussalah, Abdelkrim Amirat und Halima Bahi. „Software connector as software process“. International Journal of Simulation and Process Modelling 17, Nr. 4 (2021): 231. http://dx.doi.org/10.1504/ijspm.2021.122503.

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17

Nagel, Stuart. „Software Review: Creativity-Aiding Software“. Social Science Computer Review 19, Nr. 3 (August 2001): 376–78. http://dx.doi.org/10.1177/089443930101900313.

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18

Hurlburt, George, und Jeffrey Voas. „Software is Driving Software Engineering?“ IEEE Software 33, Nr. 1 (Januar 2016): 101–4. http://dx.doi.org/10.1109/ms.2016.22.

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19

Rakhmawati, Nur Aini. „SOFTWARE OPEN SOURCE, SOFTWARE GRATIS?“ JUTI: Jurnal Ilmiah Teknologi Informasi 5, Nr. 1 (01.01.2006): 13. http://dx.doi.org/10.12962/j24068535.v5i1.a201.

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20

Power, Lee. „Software Integration without Integrated Software“. OCLC Micro 1, Nr. 5 (Mai 1985): 13–15. http://dx.doi.org/10.1108/eb055753.

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21

Charette, R. N. „Why software fails [software failure“. IEEE Spectrum 42, Nr. 9 (September 2005): 42–49. http://dx.doi.org/10.1109/mspec.2005.1502528.

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22

Lindner, Felix "FX". „Software security is software reliability“. Communications of the ACM 49, Nr. 6 (Juni 2006): 57–61. http://dx.doi.org/10.1145/1132469.1132502.

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23

Kittlaus, Dipl Inform Hans-Bernd. „Software-Engineering und Software-Fabrik“. Informatik-Spektrum 26, Nr. 1 (01.01.2003): 8–12. http://dx.doi.org/10.1007/s00287-002-0278-9.

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24

Broy, Manfred. „Software-Engineering und Software-Fabrik“. Informatik-Spektrum 26, Nr. 1 (01.01.2003): 13–16. http://dx.doi.org/10.1007/s00287-002-0279-8.

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25

Clark, Ruth C. „Software: Wanted: Desktop software reviews“. Performance + Instruction 27, Nr. 6 (Juli 1988): 45. http://dx.doi.org/10.1002/pfi.4170270611.

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26

Leach, Ronald J. „Software metrics and software maintenance“. Journal of Software Maintenance: Research and Practice 2, Nr. 2 (Juni 1990): 133–42. http://dx.doi.org/10.1002/smr.4360020204.

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27

Rossi, Jandira Ferreira de Jesus, Luis Carlos Passarini und Leandro Innocentini Lopes de Faria. „Aplicação do software Zotero para apoiar a prática de Inteligência CompetitivaThe application of Zotero software as a tool to support the practice of Competitive Intelligence“. RDBCI: Revista Digital de Biblioteconomia e Ciência da Informação 10, Nr. 1 (10.07.2012): 1. http://dx.doi.org/10.20396/rdbci.v10i1.1893.

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Existem softwares que podem ser aplicados às várias fases do ciclo de Inteligência Competitiva – IC, como por exemplo, os que fazem a garimpagem de informações. Porém esses softwares são deficientes quando se trata de atividades realizadas entre as fases da coleta e análise que necessitam da leitura humana de documentos. Em geral, um software não consegue analisar dados puramente qualitativos nas fases do ciclo de IC. Por essa razão é de suma importância estudar softwares que tenham cunho colaborativo para saber até onde podem ser efetivos na prática de IC. Este artigo relata a aplicação do software Zotero por coletores e analistas de IC. Para averiguar seu apoio foi realizado um experimento simulando-o em um projeto de inteligência competitiva dividido em duas partes: sem o uso do software e com o uso do software. A simulação teve a participação de duas equipes locadas em diferentes pontos tendo a comunicação somente via web. O resultado indicou que com o uso do software foi possível comprovar que efetivamente o Zotero auxilia coletores e analistas em suas atividades.Abstract There are softwares which can be applied to various stages of the cycle of Competitive Intelligence - CI, such as, the ones which can sort the information. However, these softwares are defficient when it comes to activities to be carried out between the stages of collection and analysis which require the human reading of documents. Generally, a software cannot analize purely qualitative data in the stages of CI. Therefore, it is of paramount importance to study softwares which have a collaborative nature to know how far it can be effective in the practice of CI. This article reports the applicaiton of the software Zotero by CI collectors and analists. To assess its support, an simulating experiment was conducted in a CI project divided into two parts: one without the use of the software and the other with the use of the softwared. Two teams, located in different points and being connected only via web, participated in the simulation. The result indicated that with the use of the software it was possible to prove that Zotero effectivelly helps collectors and analysts in their activities.
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28

Khan, Mohd Kamran. „LITERATURE REVIEW ON SOFTWARE COMPLEXITY, SOFTWARE USABILITY AND SOFTWARE DELIVERABILITY“. International Journal of Advanced Research in Computer Science 9, Nr. 2 (20.04.2018): 438–41. http://dx.doi.org/10.26483/ijarcs.v9i2.5853.

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29

Sudhaman, Parthasarathy. „Evaluating software quality using software metrics for a software product“. International Journal of Information Systems and Change Management 5, Nr. 2 (2011): 180. http://dx.doi.org/10.1504/ijiscm.2011.041514.

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30

Notkin, David. „Software, Software Engineering and Software Engineering Research: Some Unconventional Thoughts“. Journal of Computer Science and Technology 24, Nr. 2 (März 2009): 189–97. http://dx.doi.org/10.1007/s11390-009-9217-4.

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31

Phanthanithilerd, Nattapon, und Nakornthip Prompoon. „Verifying Software Requirements Characteristics Based on Rules Defined from Software Component Relationships“. Lecture Notes on Software Engineering 4, Nr. 1 (2016): 27–33. http://dx.doi.org/10.7763/lnse.2016.v4.219.

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32

Frankel, James. „Software“. Music Educators Journal 92, Nr. 5 (Mai 2006): 29. http://dx.doi.org/10.2307/3878495.

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33

Silva, Fabio. „Software“. Journal of Skyscape Archaeology 7, Nr. 2 (18.02.2022): 325–26. http://dx.doi.org/10.1558/jsa.22285.

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34

Bauer, William I. „Software“. Music Educators Journal 92, Nr. 2 (November 2005): 25–26. http://dx.doi.org/10.2307/3400191.

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35

Huffman, Valarie. „Software“. Music Educators Journal 92, Nr. 1 (September 2005): 28. http://dx.doi.org/10.2307/3400221.

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36

McEndree, Heather. „Software“. Music Educators Journal 92, Nr. 4 (März 2006): 22. http://dx.doi.org/10.2307/3401105.

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37

Kersten, Fred. „Software“. Music Educators Journal 92, Nr. 3 (Januar 2006): 22. http://dx.doi.org/10.2307/3401133.

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38

Kano, Yutaka, James L. Arbuckle, Roderick P. McDonald, Colin Fraser, Peter M. Bentier, Karl G. Jöreskog, G. Arminger, Michael W. Browne und James H. Steiger. „Software“. Behaviormetrika 24, Nr. 1 (Januar 1997): 85–125. http://dx.doi.org/10.2333/bhmk.24.85.

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39

DEAN, J. MICHAEL. „Software“. Annals of Internal Medicine 103, Nr. 5 (01.11.1985): 817. http://dx.doi.org/10.7326/0003-4819-103-5-817.

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40

Porter, Stephen. „Software“. Health Informatics 2, Nr. 3 (September 1996): 160. http://dx.doi.org/10.1177/146045829600200312.

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41

TÜTÜNCÜ, Özkan. „Open Source Softwares and Jamovi Statistical Software“. Anatolia: Turizm Araştırmaları Dergisi, 01.12.2023, 95–105. http://dx.doi.org/10.17123/atad.1404447.

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Bu çalışmada açık ve kapalı kaynak kodlu işletim sistemleri ve programlar değerlendirilmektedir. Bu kapsamda açık kaynak kodlu-Jamovi ve kapalı kaynak kodlu-SPSS istatistiksel yazılımları karşılaştırmalı olarak incelenmiştir. Açık kaynak kodlu işletim sistemleri ve istatistiksel yazılımlar daha şeffaf ve ücretsiz olsalar da araştırmalarda kapalı kaynak kodlu işletim sistemleri ve yazılımların egemen olduğu görülmektedir. Bilim insanları her zaman araştırmalarında şeffaflık, bağımsızlık ve tarafsızlığı savunmaktadır. Bununla birlikte, işletim sistemlerinin ve istatistiksel yazılımlarının seçiminde şeffaflığı ve tarafsızlığı göz ardı edebilmektedirler.
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42

„Software: Software“. Analytical Chemistry 68, Nr. 1 (Januar 1996): 41A. http://dx.doi.org/10.1021/ac961806d.

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43

„Software: Software“. Analytical Chemistry 68, Nr. 7 (April 1996): 261A. http://dx.doi.org/10.1021/ac961887d.

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44

„Software: Software“. Analytical Chemistry 68, Nr. 9 (Mai 1996): 319A. http://dx.doi.org/10.1021/ac961917c.

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45

„Software: Software“. Analytical Chemistry 68, Nr. 13 (Juli 1996): 427A. http://dx.doi.org/10.1021/ac961981u.

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46

„Software: Software“. Analytical Chemistry 68, Nr. 15 (August 1996): 485A. http://dx.doi.org/10.1021/ac962015e.

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47

„Software: Software“. Analytical Chemistry 68, Nr. 17 (September 1996): 555A. http://dx.doi.org/10.1021/ac9620573.

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48

„Software: Software“. Analytical Chemistry 68, Nr. 19 (Oktober 1996): 617A. http://dx.doi.org/10.1021/ac962088y.

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49

„Software: Software“. Analytical Chemistry 68, Nr. 23 (Dezember 1996): 741A. http://dx.doi.org/10.1021/ac962164x.

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50

„Software: Software“. Analytical Chemistry 69, Nr. 1 (Januar 1997): 37A. http://dx.doi.org/10.1021/ac9715074.

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