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Journal articles on the topic 'Evaluation and open source'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Fuggetta, Alfonso. "Open source software––an evaluation." Journal of Systems and Software 66, no. 1 (2003): 77–90. http://dx.doi.org/10.1016/s0164-1212(02)00065-1.

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2

Confino, Joel P., and Phillip A. Laplante. "An Open Source Software Evaluation Model." International Journal of Strategic Information Technology and Applications 1, no. 1 (2010): 60–77. http://dx.doi.org/10.4018/jsita.2010101505.

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The allure of free, industrial-strength software has many enterprises rethinking their open source strategies. However, selecting an appropriate open source software for a given problem or set of requirements is very challenging. The challenges include a lack of generally accepted evaluation criteria and a multitude of eligible open source software projects. The contribution of this work is a set of criteria and a methodology for assessing candidate open source software for fitness of purpose. To test this evaluation model, several important open source projects were examined. The results of t

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3

Castro, Hélio, Goran Putnik, Alrenice Castro, and Rodrigo Dal Bosco Fontana. "Open Design initiatives: an evaluation of CAD Open Source Software." Procedia CIRP 84 (2019): 1116–19. http://dx.doi.org/10.1016/j.procir.2019.08.001.

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4

Park, Ju-Byung, and Hae-Sool Yang. "Quality Evaluation Method of Open Source Software." Journal of the Korea Academia-Industrial cooperation Society 13, no. 5 (2012): 2353–59. http://dx.doi.org/10.5762/kais.2012.13.5.2353.

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5

Gautam, Aparna. "Evaluation of Open Source Markup Validation Tools." International Journal for Research in Applied Science and Engineering Technology V, no. X (2017): 1707–12. http://dx.doi.org/10.22214/ijraset.2017.10249.

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6

M. Johnson, Wayne, Matthew Rowell, Bill Deason, and Malik Eubanks. "Comparative evaluation of an open-source FDM system." Rapid Prototyping Journal 20, no. 3 (2014): 205–14. http://dx.doi.org/10.1108/rpj-06-2012-0058.

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Purpose – The purpose of this paper is to present a qualitative and quantitative comparison and evaluation of an open-source fused deposition modeling (FDM) additive manufacturing (AM) system with a proprietary FDM AM system based on the fabrication of a custom benchmarking model. Design/methodology/approach – A custom benchmarking model was fabricated using the two AM systems and evaluated qualitatively and quantitatively. The fabricated models were visually inspected and scanned using a 3D laser scanning system to examine their dimensional accuracy and geometric dimensioning and tolerancing

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7

Silva, Elise, Jessica Green, and Cole Walker. "Source evaluation behaviours of first-year university students." Journal of Information Literacy 12, no. 2 (2018): 24. http://dx.doi.org/10.11645/12.2.2512.

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Researchers at Brigham Young University studied first-year students’ information evaluation behaviours of open-access, popular news-based, non-academic source material on a variety of subjects. Using think-aloud protocols and screen-recording, researchers coded most and least used evaluation behaviours. Students most used an article’s sources, previous experience with the source or subject matter, or a bias judgement to decide whether the source was reliable. Researchers also compared what students said was important when evaluating information vs. what behaviours students actually exhibited a

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8

Olla, Phillip. "Open Source E-Learning Systems." International Journal of Open Source Software and Processes 4, no. 4 (2012): 33–43. http://dx.doi.org/10.4018/ijossp.2012100103.

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E-learning applications are becoming commonplace in most higher education institutions, and some institutions have implemented open source applications such as course management systems and electronic portfolios. These e-learning applications initiatives are the first step to moving away from proprietary software such as Blackboard and WEBCT toward open source. With open source, higher education institutions can easily and freely audit their systems. This article presents evaluation criteria that was used by a higher education institution to evaluate an open source e-learning system.

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Abdullah, Himli S. "Evaluation of Open Source Web Application Vulnerability Scanners." Academic Journal of Nawroz University 9, no. 1 (2020): 47. http://dx.doi.org/10.25007/ajnu.v9n1a532.

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Nowadays, web applications are essential part of our lives. Web applications are used by people for information gathering, communication, e-commerce and variety of other activities. Since they contain valuable and sensitive information, the attacks against them have increased in order to find vulnerabilities and steal information. For this reason, it is essential to check web application vulnerabilities to ensure that it is secure. However, checking the vulnerabilities manually is a tedious and time-consuming job. Therefore, there is an exigent need for web application vulnerability scanners.

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10

Good, Kenneth, and Kenneth Roy. "Open plan privacy index measurement source speaker evaluation." Journal of the Acoustical Society of America 121, no. 5 (2007): 3035. http://dx.doi.org/10.1121/1.4781683.

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11

Balnaves, Edmund. "Open Source Library Management Systems: A Multidimensional Evaluation." Australian Academic & Research Libraries 39, no. 1 (2008): 1–13. http://dx.doi.org/10.1080/00048623.2008.10721320.

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12

Preatoni, Damiano G., Clara Tattoni, Francesco Bisi, et al. "Open source evaluation of kilometric indexes of abundance." Ecological Informatics 7, no. 1 (2012): 35–40. http://dx.doi.org/10.1016/j.ecoinf.2011.07.002.

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13

Dion Goh, Brendan Luyt, Alton Chua, See-Yong Yee, Kia-Ngoh Poh, and How-Yeu Ng. "Evaluating open source portals." Journal of Librarianship and Information Science 40, no. 2 (2008): 81–92. http://dx.doi.org/10.1177/0961000608089344.

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14

Alturkistani, Abrar, Ching Lam, Kimberley Foley, et al. "Massive Open Online Course Evaluation Methods: Systematic Review." Journal of Medical Internet Research 22, no. 4 (2020): e13851. http://dx.doi.org/10.2196/13851.

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Background Massive open online courses (MOOCs) have the potential to make a broader educational impact because many learners undertake these courses. Despite their reach, there is a lack of knowledge about which methods are used for evaluating these courses. Objective The aim of this review was to identify current MOOC evaluation methods to inform future study designs. Methods We systematically searched the following databases for studies published from January 2008 to October 2018: (1) Scopus, (2) Education Resources Information Center, (3) IEEE (Institute of Electrical and Electronic Enginee

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15

Alnaser, Aseel, Bo Gong, and Knut Moeller. "Evaluation of open-source software for the lung segmentation." Current Directions in Biomedical Engineering 2, no. 1 (2016): 515–18. http://dx.doi.org/10.1515/cdbme-2016-0114.

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AbstractIn this study we evaluated open-source software for lung segmentation. Several parameters which emphasize on functionality, usability, image quality and 3D export are considered for this evaluation. Based on these parameters, a scoring system is generated. Our preliminary evaluation results indicated that the Pulmonary toolkit obtains the best overall performance according to the scoring system. However, the ranking of software shows a certain variation among different criteria. The selection of software should regard the focus and the specific interest of the user.

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16

Tschannen, Philipp, and Ali Ahmed. "Bitcoin’s APIs in Open-Source Projects: Security Usability Evaluation." Electronics 9, no. 7 (2020): 1077. http://dx.doi.org/10.3390/electronics9071077.

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Given the current state of software development, it does not seem that we are nowhere near vulnerability-free software applications, due to many reasons, and software developers are one of them. Insecure coding practices, the complexity of the task in hand, and usability issues, amongst other reasons, make it hard on software developers to maintain secure code. When it comes to cryptographic currencies, the need for assuring security is inevitable. For example, Bitcoin is a peer-to-peer software system that is primarily used as digital money. There exist many software libraries supporting vari

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17

Ait Houaich, Youssef, and Mustapha Belaissaoui. "New Maturity Evaluation Model for Open Source Software Selection." International Review on Computers and Software (IRECOS) 10, no. 9 (2015): 930. http://dx.doi.org/10.15866/irecos.v10i9.7285.

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18

Awang, Norkhushaini Bt, and Mohamad Yusof B. Darus. "Evaluation of an Open Source Learning Management System: Claroline." Procedia - Social and Behavioral Sciences 67 (December 2012): 416–26. http://dx.doi.org/10.1016/j.sbspro.2012.11.346.

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19

Alexander, Joshua M., Odile Clavier, and William Audette. "Audiologic evaluation of the tympan open source hearing aid." Journal of the Acoustical Society of America 143, no. 3 (2018): 1736. http://dx.doi.org/10.1121/1.5035665.

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20

Adewumi, Adewole, Sanjay Misra, Nicholas Omoregbe, and Luis Fernandez Sanz. "FOSSES: Framework for open‐source software evaluation and selection." Software: Practice and Experience 49, no. 5 (2019): 780–812. http://dx.doi.org/10.1002/spe.2682.

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21

Bhom, Jihyun, and Marcin Chrzaszcz. "HEPLike: An open source framework for experimental likelihood evaluation." Computer Physics Communications 254 (September 2020): 107235. http://dx.doi.org/10.1016/j.cpc.2020.107235.

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22

Zhao, Rongying, and Mingkun Wei. "Impact evaluation of open source software: an Altmetrics perspective." Scientometrics 110, no. 2 (2016): 1017–33. http://dx.doi.org/10.1007/s11192-016-2204-y.

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23

García-Lucas, David, Gabriel Cebrián-Márquez, and Pedro Cuenca. "Parallelization and performance evaluation of open-source HEVC codecs." Journal of Supercomputing 73, no. 1 (2016): 495–513. http://dx.doi.org/10.1007/s11227-016-1895-4.

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24

Pangestu, Harijanto. "Model Evaluasi Perangkat Lunak: Pemodelan Visual Berbasis Open Source." ComTech: Computer, Mathematics and Engineering Applications 2, no. 2 (2011): 923. http://dx.doi.org/10.21512/comtech.v2i2.2843.

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Visual modeling softwares are numerously available based on both open source and proprietary. However, the softwares are not easy to use and tools available are so confusing for users. Therefore, the evaluation model is needed to choose the proper software. The purpose of this study is to create a model to evaluate the visual modeling software from the user interface and usability. Studied softwares are open source-based because they can be obtained easily for free. The softwares are Umleditor, Umlpad, Violet UML editor, ArgoUML, HE, StarUML, UMLet, Winbrello. This evaluation model is also abl

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25

Sohal, Amitpal Singh, Sunil Kumar Gupta, and Hardeep Singh. "Trust in Open Source Software Development Communities." International Journal of Open Source Software and Processes 9, no. 4 (2018): 1–19. http://dx.doi.org/10.4018/ijossp.2018100101.

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This study presents the significance of trust for the formation of an Open Source Software Development (OSSD) community. OSSD has various challenges that must be overcome for its successful operation. First is the development of a community, which requires a healthy community formation environment. Taking into consideration various factors for community formation, a strong sense of TRUST among its members has been felt. Trust development is a slow process with various methods for building and maintaining it. OSSD is teamwork but the team is of unknowns and volunteers. Trust forms a pillar for

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26

Symeonidis, Panagiotis, Ludovik Coba, and Markus Zanker. "Improving Time-Aware Recommendations in Open Source Packages." International Journal on Artificial Intelligence Tools 28, no. 06 (2019): 1960007. http://dx.doi.org/10.1142/s0218213019600078.

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Collaborative filtering techniques have been studied extensively during the last decade. Many open source packages (Apache Mahout, LensKit, MyMediaLite, rrecsys etc.) have implemented them, but typically the top-N recommendation lists are only based on a highest predicted ratings approach. However, exploiting frequencies in the user/item neighborhood for the formation of the top-N recommendation lists has been shown to provide superior accuracy results in offline simulations. In addition, most open source packages use a time-independent evaluation protocol to test the quality of recommendation

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27

Stathopoulou, E. K., M. Welponer, and F. Remondino. "OPEN-SOURCE IMAGE-BASED 3D RECONSTRUCTION PIPELINES: REVIEW, COMPARISON AND EVALUATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (November 29, 2019): 331–38. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-331-2019.

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Abstract. State-of-the-art automated image orientation (Structure from Motion) and dense image matching (Multiple View Stereo) methods commonly used to produce 3D information from 2D images can generate 3D results – such as point cloud or meshes – of varying geometric and visual quality. Pipelines are generally robust and reliable enough, mostly capable to process even large sets of unordered images, yet the final results often lack completeness and accuracy, especially while dealing with real-world cases where objects are typically characterized by complex geometries and textureless surfaces

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28

Dagienė, Valentina, and Gintautas Grigas. "Quantitative evaluation of the process of open source software localization." Informatica 17, no. 1 (2006): 3–12. http://dx.doi.org/10.15388/informatica.2006.119.

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29

Good, Kenneth, and Kenneth Roy. "Measuring speech privacy–open plan source speaker evaluation: Part 2." Journal of the Acoustical Society of America 118, no. 3 (2005): 1854. http://dx.doi.org/10.1121/1.4778763.

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30

López-López, Edgar, J. Jesús Naveja, and José L. Medina-Franco. "DataWarrior: an evaluation of the open-source drug discovery tool." Expert Opinion on Drug Discovery 14, no. 4 (2019): 335–41. http://dx.doi.org/10.1080/17460441.2019.1581170.

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31

Gronle, Marc, Wolfram Lyda, Marc Wilke, Christian Kohler, and Wolfgang Osten. "itom: an open source metrology, automation, and data evaluation software." Applied Optics 53, no. 14 (2014): 2974. http://dx.doi.org/10.1364/ao.53.002974.

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32

Marinheiro, Antonio, and Jorge Bernardino. "Experimental Evaluation of Open Source Business Intelligence Suites using OpenBRR." IEEE Latin America Transactions 13, no. 3 (2015): 810–17. http://dx.doi.org/10.1109/tla.2015.7069109.

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33

W. Good, Kenneth, and Kenneth P. Roy. "An evaluation of source speakers for open‐plan privacy measurements." Journal of the Acoustical Society of America 116, no. 4 (2004): 2611. http://dx.doi.org/10.1121/1.4785414.

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34

Ntantogian, Christoforos, Stefanos Malliaros, and Christos Xenakis. "Evaluation of password hashing schemes in open source web platforms." Computers & Security 84 (July 2019): 206–24. http://dx.doi.org/10.1016/j.cose.2019.03.011.

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35

Nolè, Gabriele, Beniamino Murgante, Giuseppe Calamita, Antonio Lanorte, and Rosa Lasaponara. "Evaluation of urban sprawl from space using open source technologies." Ecological Informatics 26 (March 2015): 151–61. http://dx.doi.org/10.1016/j.ecoinf.2014.05.005.

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36

Hanandeh, Feras, Ahmad A. Saifan, Mohammed Akour, Noor Khamis Al-Hussein, and Khadijah Zayed Shatnawi. "Evaluating Maintainability of Open Source Software." International Journal of Open Source Software and Processes 8, no. 1 (2017): 1–20. http://dx.doi.org/10.4018/ijossp.2017010101.

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Maintainability is one of the most important quality attribute that affect the quality of software. There are four factors that affect the maintainability of software which are: analyzability, changeability, stability, and testability. Open source software (OSS) developed by collaborative work done by volunteers through around the world with different management styles. Open source code is updated and modified all the time from the first release. Therefore, there is a need to measure the quality and specifically the maintainability of such code. This paper discusses the maintainability for the

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37

Donnelly, Francis P. "Evaluating open source GIS for libraries." Library Hi Tech 28, no. 1 (2010): 131–51. http://dx.doi.org/10.1108/07378831011026742.

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38

Burtsev, Mikhail, and Varvara Logacheva. "Conversational Intelligence Challenge: Accelerating Research with Crowd Science and Open Source." AI Magazine 41, no. 3 (2020): 18–27. http://dx.doi.org/10.1609/aimag.v41i3.5324.

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Development of conversational systems is one of the most challenging tasks in natural language processing, and it is especially hard in the case of open-domain dialogue. The main factors that hinder progress in this area are lack of training data and difficulty of automatic evaluation. Thus, to reliably evaluate the quality of such models, one needs to resort to time-consuming and expensive human evaluation. We tackle these problems by organizing the Conversational Intelligence Challenge (ConvAI) — open competition of dialogue systems. Our goals are threefold: to work out a good design for hum

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39

Herrera-Melo, Camila Andrea, and Juan Sebastián González Sanabria. "Proposal for the Evaluation of Open Data Portals." Revista Facultad de Ingeniería 29 (December 31, 2019): e10194. http://dx.doi.org/10.19053/01211129.v29.n0.2020.10194.

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The provision of portals that serve as a source of access and availability of public domain data is part of the adoption of public policies that some government entities have implemented in response to the establishment of an open, transparent, multidirectional, collaborative and focused on citizen participation government, both in monitoring and in making public decisions. However, the publication of this data must meet certain characteristics to be considered open and of quality. For this reason, studies arise that focus on the approach of methodologies and indicators that measure the

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40

Ahmad, Norita, and Phillip A. Laplante. "A Systematic Approach to Evaluating Open Source Software." International Journal of Strategic Information Technology and Applications 2, no. 1 (2011): 48–67. http://dx.doi.org/10.4018/jsita.2011010104.

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Selecting appropriate Open Source Software (OSS) for a given problem or a set of requirements can be very challenging. Some of the difficulties are due to the fact that there is not a generally accepted set of criteria to use in evaluation and that there are usually many OSS projects available to solve a particular problem. In this study, the authors propose a set of criteria and a methodology for assessing candidate OSS for fitness of purpose using both functional and non-functional factors. The authors then use these criteria in an improved solution to the decision problem using the well-dev

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41

Ueberham, Maximilian, Florian Schmidt, and Uwe Schlink. "Advanced Smartphone-Based Sensing with Open-Source Task Automation." Sensors 18, no. 8 (2018): 2456. http://dx.doi.org/10.3390/s18082456.

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Smartphone-based sensing is becoming a convenient way to collect data in science, especially in environmental research. Recent studies that use smartphone sensing methods focus predominantly on single sensors that provide quantitative measurements. However, interdisciplinary projects call for study designs that connect both, quantitative and qualitative data gathered by smartphone sensors. Therefore, we present a novel open-source task automation solution and its evaluation in a personal exposure study with cyclists. We designed an automation script that advances the sensing process with regar

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42

Seungchang Lee, 서응교, and 박훈성. "Behavior-Structure-Evolution Evaluation Model(BSEM) for Open Source Software Service." Journal of Distribution Science 13, no. 1 (2015): 57–70. http://dx.doi.org/10.15722/jds.13.1.201501.57.

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43

LI, Chunyan, and Xuejie ZHANG. "Performance evaluation on open source cloud platform for high performance computing." Journal of Computer Applications 33, no. 12 (2013): 3580–85. http://dx.doi.org/10.3724/sp.j.1087.2013.03580.

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44

Akatsu, Shinji, Yoshikatu Fujita, Takumi Kato, and Kazuhiko Tsuda. "Structured analysis of the evaluation process for adopting open-source software." Procedia Computer Science 126 (2018): 1578–86. http://dx.doi.org/10.1016/j.procs.2018.08.131.

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45

Rasetshwane, Daniel M., Judy G. Kopun, Ryan W. McCreery, et al. "Electroacoustic and behavioral evaluation of an open source audio processing platform." Journal of the Acoustical Society of America 143, no. 3 (2018): 1738. http://dx.doi.org/10.1121/1.5035671.

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46

Ghapanchi, Amir Hossein, and Aybuke Aurum. "An evaluation criterion for open source software projects: enhancement process effectiveness." International Journal of Information Systems and Change Management 5, no. 3 (2011): 193. http://dx.doi.org/10.1504/ijiscm.2011.044508.

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47

Ratra, Ritu, and Preeti Gulia. "Experimental Evaluation of Open Source Data Mining Tools (WEKA and Orange)." International Journal of Engineering Trends and Technology 68, no. 8 (2020): 30–35. http://dx.doi.org/10.14445/22315381/ijett-v68i8p206s.

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48

Mukherjee, Sandip, P. K. Joshi, Samadrita Mukherjee, Aniruddha Ghosh, R. D. Garg, and Anirban Mukhopadhyay. "Evaluation of vertical accuracy of open source Digital Elevation Model (DEM)." International Journal of Applied Earth Observation and Geoinformation 21 (April 2013): 205–17. http://dx.doi.org/10.1016/j.jag.2012.09.004.

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49

Pangestu, Harijanto. "Penerapan Metode GOMS untuk Evaluasi Perangkat Lunak Pemodelan Visual Berbasis Open Source." ComTech: Computer, Mathematics and Engineering Applications 3, no. 1 (2012): 325. http://dx.doi.org/10.21512/comtech.v3i1.2418.

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Software evaluation is needed to determine the usability level of the software. Good usability is having the following characteristics: effective to use (effectiveness), efficient to use (efficiency), safe to use (safety), having good utility (utility), easy to learn (learnability) and easy to remember how to use (memorability). Analytical evaluation is one evaluation approach that does not involve users. The evaluation is conducted by experts associated with the product. One method used in the analytical evaluation is GOMS, a method to analyze a task related to human computer interaction. GOM

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50

Haynes, M., S. Coetzee, and V. Rautenbach. "SUPPORTING URBAN DESIGN WITH OPEN SOURCE GEOSPATIAL TECHNOLOGIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W14 (August 23, 2019): 93–97. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w14-93-2019.

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<p><strong>Abstract.</strong> Urban designers collect information about a city or neighborhood, design improvements so that the city is functional and pleasant to live in, and communicate these improvements to relevant stakeholders. The use of space and the spatial relationships between physical features play a significant role in urban design, therefore much of the information that is collected and manipulated is georeferenced. We followed a scenario-based approach for collecting requirements for urban design projects. Functional and non-functional requirements were categori

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