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Journal articles on the topic 'Open source software – Uganda'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Muwanguzi, Samuel. "Adoption of open source software (OSS) for Uganda: A social construction perspective." Proceedings of the American Society for Information Science and Technology 46, no. 1 (2009): 1–4. http://dx.doi.org/10.1002/meet.2009.1450460321.

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Ponelis, Shana Rachel, and Philliam Adoma. "Diffusion of open source integrated library systems in academic libraries in Africa." Library Management 39, no. 6-7 (2018): 430–48. http://dx.doi.org/10.1108/lm-05-2017-0052.

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Purpose Libraries globally automate their operations and services using integrated library systems (ILS) to increase operational efficiency and meet the ever-evolving demands of their users. Open source ILS (OS ILS) has become more popular globally. The purpose of this paper is to better understand the diffusion of OS ILS in academic libraries in Uganda. Design/methodology/approach Rogers’ diffusion of innovation (DoI) supplemented by the fit-viability theory was used as a theoretical framework. A questionnaire was developed based on extant literature and distributed electronically to representative members of a Ugandan university library association. Findings The diffusion of OS ILS in Ugandan academic libraries approximates the S-curve expected based on DoI. Ugandan academic libraries are adopting OS ILS for more flexibility to meet changing needs at what is perceived as an affordable cost but not all are fully satisfied. Koha is the most adopted OS ILS and is also being considered by all libraries without any ILS or a proprietary ILS. The information and communication technology (ICT) infrastructure, organizational procurement policies and national procurement legislation, human resource capacity and limited finances are barriers to diffusion. The total cost of ownership and technical skills required are of particular concern for OS ILS. Research limitations/implications The research was limited to a single African country and the recommendations may not be transferable to other African countries. Future research can expand the survey, the countries studied and/or address the methodological limitations of this study. Practical implications When embarking upon library automation using OS ILS or migrating to an OS ILS solution libraries should consider their ICT infrastructure, local support community, available training and be realistic about the costs. Local library associations should provide guidance on OS ILS selection, ongoing training, and opportunities for knowledge sharing. LIS schools should consider expanding their curriculum to include library automation and, in Uganda incorporate training on Koha as OS ILS. Libraries and library associations should advocate to reduce restrictive organizational procurement policies and national procurement legislation. Originality/value Studies on country-level diffusion of ILS are comparatively few, particularly in African countries. This is the first country-level study of OS ILS diffusion in Uganda. This study can positively impact future patterns of diffusion for optimal deployment of OS ILS software by informing academic libraries, university management, library association, LIS schools, and policymakers in Uganda and across the African continent, and encouraging academics and researchers to teach and study library automation using OS ILS.

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Twaakyondo, Hashim M., and Kennedy Mwakisole. "Open Source Kiswahili Spell Checker (SW-TZ)." Tanzania Journal of Engineering and Technology 34, no. 1 (2013): 15–25. http://dx.doi.org/10.52339/tjet.v34i1.455.

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Different English software products are localized into many native languages spoken around the world, the most popular software products localized so far are word processing software and web browsers. The effort has begun to localize these software products in Kiswahili language which is widely spoken in Tanzania, East and Central Africa. Kiswahiliis an official language of Tanzania, and is a national language in Uganda and Kenya. To make these software products useful to Kiswahili speaking community particularly in Tanzania a new Kiswahili spell checker has been developed and, it uses most of the Kiswahili words spoken in Tanzania and its locale identity is sw-TZ for OpenOffice.org and Mozilla Firefox while Kiswahili spoken in Kenya has a locale identity sw-KE which is common for Microsoft office products. It was developed due to the shortcomings of first ever Kiswahili spell checker developed by Open Kiswahili Localization Project(KILINUX). A spell-checking tool called MySpell has been used in developing a new spell checker. The dictionary of a new spell checker consists of 4894 stems and its affixes were created based on Kiswahili noun classification system and by selecting different groups of verb stems that follow the same trends in generating other Kiswahili valid words. Thispaper addresses the shortcomings of the existing spell checker and the approach carried out to develop a new spell checker.

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Muwanguzi, Samuel, and George Musambira. "The adoption of open source software in Uganda: Analyzing stakeholders and their underlying interests." Technology in Society 58 (August 2019): 101138. http://dx.doi.org/10.1016/j.techsoc.2019.05.002.

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Jovanovic, S., D. Jovanovic, G. Bratic, and M. A. Brovelli. "ANALYSIS OF FREE ROAD DATA IN TANZANIA, UGANDA AND KENYA USING FREE AND OPEN SOURCE SOFTWARE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1567–72. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1567-2019.

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<p><strong>Abstract.</strong> Roads are one of the most important infrastructural objects for each country. Slow development of third world countries is partially influenced by missing roads. Therefore, United Nation (UN) enlisted them inside the ninth Sustainable Development Goal (SDG) whose achievement highly relies on geospatial data. Since the authoritative data for the majority of developing countries are incomplete and unavailable, the focus of this study is on free data. The conveyed research, explained in this paper, was divided in two parts. The first one refers to completeness and positional accuracy assessment of three different road data sets (freely available). The second part was focused only on OpenStreetMap (OSM) since it showed the best results in the previous stage. Thus, OSM was used to compute (in the second part of the research) and analyse the road accessibility rate within the buffer zone of two kilometers from human settlements. To locate human settlements, raster data, representing land covers were used. Results are pointing where the infrastructure is not mapped or is not present. The complete work was done using Free and Open Source Software, which is important, since the proposed procedure can be implemented by anyone.</p>

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Van Reijswoud, Victor, and Emmanuel Mulo. "Applying Open Source Software in a Development Context: Expectations and Experiences. A Case Study of a University in Uganda." E-Learning and Digital Media 3, no. 3 (2006): 361–72. http://dx.doi.org/10.2304/elea.2006.3.3.361.

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7

BALDASSI, F., F. D'AMICO, M. CARESTIA, et al. "Testing the accuracy ratio of the Spatio-Temporal Epidemiological Modeler (STEM) through Ebola haemorrhagic fever outbreaks." Epidemiology and Infection 144, no. 7 (2015): 1463–72. http://dx.doi.org/10.1017/s0950268815002939.

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SUMMARYMathematical modelling is an important tool for understanding the dynamics of the spread of infectious diseases, which could be the result of a natural outbreak or of the intentional release of pathogenic biological agents. Decision makers and policymakers responsible for strategies to contain disease, prevent epidemics and fight possible bioterrorism attacks, need accurate computational tools, based on mathematical modelling, for preventing or even managing these complex situations. In this article, we tested the validity, and demonstrate the reliability, of an open-source software, the Spatio-Temporal Epidemiological Modeler (STEM), designed to help scientists and public health officials to evaluate and create models of emerging infectious diseases, analysing three real cases of Ebola haemorrhagic fever (EHF) outbreaks: Uganda (2000), Gabon (2001) and Guinea (2014). We discuss the cases analysed through the simulation results obtained with STEM in order to demonstrate the capability of this software in helping decision makers plan interventions in case of biological emergencies.

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Mwesigwa, Catherine Lutalo, Brenda Akinyi Okumu, Charity Kirabo-Nagemi, Emma Ejuu, Estie Kruger, and Marc Tennant. "Mapping the geographic availability of public dental services in Uganda relative to ruralization and poverty of the population." Journal of Global Oral Health 2 (February 29, 2020): 86–92. http://dx.doi.org/10.25259/jgoh_66_2019.

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Objectives: Uganda is a low-income country faced with a number of challenges in health service delivery, including oral health services. Despite reports of an increased prevalence of oral diseases, they are afforded less priority, amidst competing priorities of infectious and other non-communicable diseases. Oral health-care services are offered free-of-charge in public health facilities. The majority of the Ugandan population live in rural areas. This would imply that public dental services should be more widely distributed in rural areas to meet the needs of the majority population. This study, therefore, aimed to determine the geographic distribution of public dental services relative to poverty and ruralization of the Ugandan population. Materials and Methods: All 112 districts in Uganda were to be surveyed for this study using an ecological design that incorporated the Ugandan population with socio-demographics obtained from the latest Uganda National Housing and Population Census and poverty data from the national Poverty Status Report 2014. The data from the districts were on the availability of public dental services and the physical location of these dental facilities. Overall, 182 public facilities were included in the study. The geographic location of public dental clinics was established using open-data sources. The data on ruralization were aggregated at the district level and that on poverty at the subregion level. Spatial analysis was done using geographic information science software, Quantum Geographic Information System. Results: The total Ugandan population was 34 million. Overall, 19.7% of the population was poor with the highest proportion located in the North and East of Uganda. Urban-rural characteristics varied across the country. Information on the 182 public dental clinics was collected from 97 of the 112 Ugandan districts. Among the 97 districts, 15% had no public clinic and were located in the poorest Ugandan regions. Among the 40 districts containing over 90% of the rural population, 20% had none, and 55% only had one dental clinic. In general, service availability reduced as the proportion of the rural and poor population increased. Conclusion: The spatial analysis presents an avenue to inform and guide the decision making and planning process by identifying geographic areas with access gaps relative to population socio-demographic characteristics. This study revealed that public dental services were least available for the poorest and rural populations, and yet they are already vulnerable to other access barriers. It is recommended that efforts should be made by health planners and policymakers to avert the health inequalities presented by inequitable access.

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Akello, Sarah, Nelson Turyahabwe, Paul Okullo, and Jacob Godfrey Agea. "Land Use Change using Geospatial Techniques: The Case of AwojaWatershed in Ngora District in Eastern Uganda." Uganda Journal of Agricultural Sciences 18, no. 2 (2018): 93–101. http://dx.doi.org/10.4314/ujas.v18i2.3.

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This study used remote sensing and Geo-graphical Information System (GIS) to assess the status of Awoja watersheds in Ngora district of Eastern Uganda. Landsat ETM Images covering the whole of Ngora district and part of Lake Kyoga of two time periods was carried out in the period April to July 2015. This wasacquired using USGS Earth Explorer. The images were processed and enhanced with ERDAS 2014 software to aid information extraction and analysis. Land cover change analysis was performed using ENVI 5.3 software. Supervised classification method with maximum likelihood algorithm was performed to obtain land use/ cover types. Five land use/cover types were identified: open water, wetland, tree cover, agriculture and built up area. The findings indicate a fivefold increase in built up area by 154.27km2 (i.e. 375%) and open water increased by 8.7 km2 (i.e. 55.33%). Wetland, tree cover and agriculture reduced in area by -1.0km2 (i.e. 5.1%), - 48.07 km2 (i.e. 34.46%) and -114.0km2 (i.e. 51.05%), respectively. These changes mainly resulted from deforestation, wetland encroachment, poor attitude and over population. Unless, appropriate watershed restoration strategies are designed through afforestation, law enforcement on culprits, continuous sensitisation of the watershed community on the causes of degradation, the over 1,700,000 individuals whose livelihoods depend on Awojawill continue to suffer the effects of degradation. There is need to advocate for non-consumptive projects as alternative sources of income. Keywords: Remote sensing, GIS, Watersheds.

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Semwogerere, Twaibu, R. Awichi, J. D. Lwanyaga, Esemu Joseph Noah, Verdiana G. Masanja, and H. Nampala. "An Application of Computational Fluid Dynamics to Optimize Municipal Sewage Networks; A Case of Tororo Municipality, Eastern Uganda." JOURNAL OF ADVANCES IN MATHEMATICS 18 (January 10, 2020): 18–27. http://dx.doi.org/10.24297/jam.v18i.8345.

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Two-phase pipe ﬂow is a common occurrence in many industrial applications such as sewage, water, oil, and gas transportation. Accurate prediction of liquid velocity, holdup and pressure drop is of vast importance to ensure eﬀective design and operation of ﬂuid transport systems. This paper aimed at the simulation of a two-phase ﬂow of air and sewage (water) using an open source software OpenFOAM. Numerical Simulations have been performed using varying dimensions of pipes as well as their inclinations. Specifically, a Standard k- turbulence model and the Volume of Fluid (VOF) free water surface model is used to solve the turbulent mixture flow of air and sewage (water). A two dimensional, 0.5m diameter pipe of 20m length is used for the CFD approach based on the Navier-Stokes equations. Results showed that the ﬂow pattern behaviour is influenced by the pipe diameters as well as their inclination. It is concluded that the most effective way to optimize a sewer network system for Tororo Municipality conditions and other similar situations, is by adjusting sewer diameters and slope gradients and expanding the number of sewer network connections of household and industries from 535 (i.e., 31.2% of total) to at least 1,200 (70% of total).

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11

Byonanebye, Dathan Mirembe, Maria S. Nabaggala, Agnes Bwanika Naggirinya, et al. "An Interactive Voice Response Software to Improve the Quality of Life of People Living With HIV in Uganda: Randomized Controlled Trial." JMIR mHealth and uHealth 9, no. 2 (2021): e22229. http://dx.doi.org/10.2196/22229.

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Background Following the successful scale-up of antiretroviral therapy (ART), the focus is now on ensuring good quality of life (QoL) and sustained viral suppression in people living with HIV. The access to mobile technology in the most burdened countries is increasing rapidly, and therefore, mobile health (mHealth) technologies could be leveraged to improve QoL in people living with HIV. However, data on the impact of mHealth tools on the QoL in people living with HIV are limited to the evaluation of SMS text messaging; these are infeasible in high-illiteracy settings. Objective The primary and secondary outcomes were to determine the impact of interactive voice response (IVR) technology on Medical Outcomes Study HIV QoL scores and viral suppression at 12 months, respectively. Methods Within the Call for Life study, ART-experienced and ART-naïve people living with HIV commencing ART were randomized (1:1 ratio) to the control (no IVR support) or intervention arm (daily adherence and pre-appointment reminders, health information tips, and option to report symptoms). The software evaluated was Call for Life Uganda, an IVR technology that is based on the Mobile Technology for Community Health open-source software. Eligibility criteria for participation included access to a phone, fluency in local languages, and provision of consent. The differences in differences (DIDs) were computed, adjusting for baseline HIV RNA and CD4. Results Overall, 600 participants (413 female, 68.8%) were enrolled and followed-up for 12 months. In the intervention arm of 300 participants, 298 (99.3%) opted for IVR and 2 (0.7%) chose SMS text messaging as the mode of receiving reminders and health tips. At 12 months, there was no overall difference in the QoL between the intervention and control arms (DID=0.0; P=.99) or HIV RNA (DID=0.01; P=.94). At 12 months, 124 of the 256 (48.4%) active participants had picked up at least 50% of the calls. In the active intervention participants, high users (received >75% of reminders) had overall higher QoL compared to low users (received <25% of reminders) (92.2 versus 87.8, P=.02). Similarly, high users also had higher QoL scores in the mental health domain (93.1 versus 86.8, P=.008) and better appointment keeping. Similarly, participants with moderate use (51%-75%) had better viral suppression at 12 months (80/94, 85% versus 11/19, 58%, P=.006). Conclusions Overall, there was high uptake and acceptability of the IVR tool. While we found no overall difference in the QoL and viral suppression between study arms, people living with HIV with higher usage of the tool showed greater improvements in QoL, viral suppression, and appointment keeping. With the declining resources available to HIV programs and the increasing number of people living with HIV accessing ART, IVR technology could be used to support patient care. The tool may be helpful in situations where physical consultations are infeasible, including the current COVID epidemic. Trial Registration ClinicalTrials.gov NCT02953080; https://clinicaltrials.gov/ct2/show/NCT02953080

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12

Parry, David, Emma Parry, Phurb Dorji, and Peter Stone. "Open Source Software." International Journal of Healthcare Information Systems and Informatics 3, no. 3 (2008): 1–15. http://dx.doi.org/10.4018/jhisi.2008070101.

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13

Gaff, Brian M., and Gregory J. Ploussios. "Open Source Software." Computer 45, no. 6 (2012): 9–11. http://dx.doi.org/10.1109/mc.2012.213.

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14

Wolf, Marty J., Kevin Bowyer, Don Gotterbarn, and Keith Miller. "Open source software." ACM SIGCSE Bulletin 34, no. 1 (2002): 317–18. http://dx.doi.org/10.1145/563517.563464.

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15

Rowell, Laurie. "Open source software." eLearn 2008, no. 1 (2008): 1. http://dx.doi.org/10.1145/1361066.1361070.

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Asiri, Sami. "Open Source Software." ACM SIGCAS Computers and Society 33, no. 1 (2003): 2. http://dx.doi.org/10.1145/966498.966501.

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Oberg, Steve. "Open Source Software." Serials Review 29, no. 1 (2003): 36–39. http://dx.doi.org/10.1080/00987913.2003.10764787.

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18

Rakhmawati, Nur Aini. "SOFTWARE OPEN SOURCE, SOFTWARE GRATIS?" JUTI: Jurnal Ilmiah Teknologi Informasi 5, no. 1 (2006): 13. http://dx.doi.org/10.12962/j24068535.v5i1.a201.

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Baldi, Stefan, Hauke Heier, and Anett Mehler-Bicher. "Open courseware and open source software." Communications of the ACM 46, no. 9 (2003): 105–7. http://dx.doi.org/10.1145/903893.903922.

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Lenin, R. B., S. Ramaswamy, Liguo Yu, and R. B. Govindan. "Open Source Software Systems." International Journal of Open Source Software and Processes 2, no. 4 (2010): 28–47. http://dx.doi.org/10.4018/ijossp.2010100103.

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Complex software systems and the huge amounts of data they produce are becoming an integral part of our organizations. We are also becoming increasingly dependent on high quality software products in our everyday lives. These systems ‘evolve’ as we identify and correct existing defects, provide new functionalities, or increase their nonfunctional qualities - such as security, maintainability, performance, etc. Simultaneously, more software development projects are distributed over multiple locations (often globally) and are often several millions of dollars in development costs. Consequently, as the Internet continually eliminates geographic boundaries, the concept of doing business within a single country has given way to companies focusing on competing in an international marketplace. The digitalization of work and the reorganization of work processes across many organizations have resulted in routine and/or commodity components being outsourced.

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Chahal, Kuljit Kaur, and Munish Saini. "Open Source Software Evolution." International Journal of Open Source Software and Processes 7, no. 1 (2016): 1–27. http://dx.doi.org/10.4018/ijossp.2016010101.

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Due to the dominance of Open Source Software (OSS) in IT and the IT enabled services industry, various stakeholders are keen to understand the OSS evolution process. Several studies have been conducted in the past in this regard. There are various techniques used in the past for understanding OSS evolution process from different perspectives. This paper reports a systematic literature review on the topic in order to understand its current state and to identify opportunities for future. This research identified 190 studies, selected against a set of questions, for discussion. It categorizes the research studies into nine categories. We report the review results in a set of two papers. This paper discusses the research results of the techniques used for OSS evolution analysis only i.e. one out of the nine categories. A subsequent paper carries discussion on the remaining categories. Based on the results obtained from the systematic review, there is evidence of shift in the metrics and methods for OSS evolution analysis over the period of time. OSS systems were found to grow at a super linear rate in the initial studies. But later studies revealed that branches of an OSS system grow at different rates. However, more number of studies should be carried out using a repeatable methodology in order to obtain well-formed and generalizable results.

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Chahal, Kuljit Kaur, and Munish Saini. "Open Source Software Evolution." International Journal of Open Source Software and Processes 7, no. 1 (2016): 28–48. http://dx.doi.org/10.4018/ijossp.2016010102.

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This paper presents the results of a systematic literature review conducted to understand the Open Source Software (OSS) development process on the basis of evidence found in the empirical research studies. The study targets the OSS project evolution research papers to understand the methods and techniques employed for analysing the OSS evolution process. Our results suggest that there is lack of a uniform approach to analyse and interpret the results. The use of prediction techniques that just extrapolate the historic trends into the future should be a conscious task as it is observed that there are no long-term correlations in data of such systems. OSS evolution as a research area is still in nascent stage. Even after a number of empirical studies, the field has failed to establish a theory. There is need to formalize the field as a systematic and formal approach can produce better software.

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Ghose, Dipanjan, Sreejita Naskar, Shabbiruddin, and Amit Kumar Roy. "An Open Source Software." International Journal of Open Source Software and Processes 10, no. 1 (2019): 49–68. http://dx.doi.org/10.4018/ijossp.2019010104.

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Most of the issues regarding power supply occurs due to transmission of power through long distances over diverse and unsuitable landscapes. A solar power plant, if installed within the vicinity of the diverse recipient areas, cuts short the transmission related problems by great numbers and acts like an absolute boon to hilly terrains like Sikkim. The study presented here investigates the land suitability for medium-scale solar power installations in Sikkim by using open source software - Quantum-Geographic Information System (Q-GIS) combined with Multi-criteria Decision Making (MCDM) techniques. Six exclusion criteria are identified to avoid unsuitable areas for plant installation. Analytic Hierarchy Process (AHP) is used to rank the available areas according to their suitability, which have been further presented in a technology-aided suitability map. Such a study greatly reduces the feasibility related issues for investors in such projects to visit every site available for construction of the plant, saving time and money.

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Fitzgerald, Brian. "Open Source Software Adoption." International Journal of Open Source Software and Processes 1, no. 1 (2009): 1–23. http://dx.doi.org/10.4018/jossp.2009010101.

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Hasselbring, Wilhelm, Leslie Carr, Simon Hettrick, Heather Packer, and Thanassis Tiropanis. "Open Source Research Software." Computer 53, no. 8 (2020): 84–88. http://dx.doi.org/10.1109/mc.2020.2998235.

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Li, Yan, Chuan-Hoo Tan, Heng Xu, and Hock-Hai Teo. "Open source software adoption." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 42, no. 2 (2011): 76–94. http://dx.doi.org/10.1145/1989098.1989103.

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de Hoon, M. J. L., S. Imoto, J. Nolan, and S. Miyano. "Open source clustering software." Bioinformatics 20, no. 9 (2004): 1453–54. http://dx.doi.org/10.1093/bioinformatics/bth078.

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Karels, Michael J. "Commercializing Open Source Software." Queue 1, no. 5 (2003): 46–55. http://dx.doi.org/10.1145/945074.945125.

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Koch, Frank A. "Rechtsrisiko Open Source Software?" Informatik-Spektrum 27, no. 1 (2004): 55–60. http://dx.doi.org/10.1007/s00287-003-0365-6.

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Vlagioiu, Constantin, Vlad Vuta, Florica Barbuceanu, Gabriel Predoi, and Nicolae Tudor. "Open-source bioinformatics software." Journal of Biotechnology 256 (August 2017): S53. http://dx.doi.org/10.1016/j.jbiotec.2017.06.979.

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Kristan, William B. "OPEN-SOURCE SOFTWARE FOR ECOLOGISTS: A QUICK INTRODUCTION TO OPEN-SOURCE SOFTWARE." Bulletin of the Ecological Society of America 84, no. 1 (2003): 30–33. http://dx.doi.org/10.1890/0012-9623(2003)84[30:osfeaq]2.0.co;2.

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Singh, Amandeep, R. K. Bansal, and Neetu Jha. "Open Source Software vs Proprietary Software." International Journal of Computer Applications 114, no. 18 (2015): 26–31. http://dx.doi.org/10.5120/20080-2132.

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Thomas, D., and A. Hunt. "Open source ecosystems." IEEE Software 21, no. 4 (2004): 89–91. http://dx.doi.org/10.1109/ms.2004.24.

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Bergman, Seth D. "Open Source Textbooks: A Paradigm Derived from Open Source Software." Publishing Research Quarterly 30, no. 1 (2014): 1–10. http://dx.doi.org/10.1007/s12109-014-9346-7.

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Capiluppi, Andrea, Klaas-Jan Stol, and Cornelia Boldyreff. "Software Reuse in Open Source." International Journal of Open Source Software and Processes 3, no. 3 (2011): 10–35. http://dx.doi.org/10.4018/jossp.2011070102.

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A promising way to support software reuse is based on Component-Based Software Development (CBSD). Open Source Software (OSS) products are increasingly available that can be freely used in product development. However, OSS communities still face several challenges before taking full advantage of the “reuse mechanism”: many OSS projects duplicate effort, for instance when many projects implement a similar system in the same application domain and in the same topic. One successful counter-example is the FFmpeg multimedia project; several of its components are widely and consistently reused in other OSS projects. Documented is the evolutionary history of the various libraries of components within the FFmpeg project, which presently are reused in more than 140 OSS projects. Most use them as black-box components; although a number of OSS projects keep a localized copy in their repositories, eventually modifying them as needed (white-box reuse). In both cases, the authors argue that FFmpeg is a successful project that provides an excellent exemplar of a reusable library of OSS components.

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Blum, Vladislav Stanislavovich, and Vadim Petrovich Zabolotski. "Open Source Software for Health." SPIIRAS Proceedings, no. 8 (March 17, 2014): 46. http://dx.doi.org/10.15622/sp.8.3.

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Walters, B. Wayne. "The Open Source Software Paradigm." Review of Business Information Systems (RBIS) 11, no. 3 (2007): 29–34. http://dx.doi.org/10.19030/rbis.v11i3.4413.

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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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Feller, J., B. Fitzgerald, and A. Van der Hoek. "Editorial: Open source software engineering." IEE Proceedings - Software 149, no. 1 (2002): 1. http://dx.doi.org/10.1049/ip-sen:20020363.

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Velasco, Monette, and Wei Tsang Ooi. "Embracing Open Source Multimedia Software." IEEE Multimedia 19, no. 2 (2012): 11–15. http://dx.doi.org/10.1109/mmul.2012.16.

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Witten, Ian H., David Bainbridge, and Stefan Boddie. "Greenstone: Open-source DL software." Communications of the ACM 44, no. 5 (2001): 47. http://dx.doi.org/10.1145/374308.374338.

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Blansit, B. Douglas. "Free/Open Source Software Licenses." Journal of Electronic Resources in Medical Libraries 6, no. 4 (2009): 362–70. http://dx.doi.org/10.1080/15424060903364891.

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Ebert, Christof. "Open Source Software in Industry." IEEE Software 25, no. 3 (2008): 52–53. http://dx.doi.org/10.1109/ms.2008.67.

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Lee, Sang-Yong Tom, Hee-Woong Kim, and Sumeet Gupta. "Measuring open source software success." Omega 37, no. 2 (2009): 426–38. http://dx.doi.org/10.1016/j.omega.2007.05.005.

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Timbó, Raphael, Rodrigo Martins, Gabriel Bachmann, et al. "ROSS - Rotordynamic Open Source Software." Journal of Open Source Software 5, no. 48 (2020): 2120. http://dx.doi.org/10.21105/joss.02120.

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Zhou, Ying, and Joseph Davis. "Open source software reliability model." ACM SIGSOFT Software Engineering Notes 30, no. 4 (2005): 1–6. http://dx.doi.org/10.1145/1082983.1083273.

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Lihitkar, Shalini R. "Guest Editorial: Open Source Software." DESIDOC Journal of Library & Information Technology 32, no. 5 (2012): 379–80. http://dx.doi.org/10.14429/djlit.32.5.2645.

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Miller, Keith W., Jeffrey Voas, and Tom Costello. "Free and Open Source Software." IT Professional 12, no. 6 (2010): 14–16. http://dx.doi.org/10.1109/mitp.2010.147.

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Herrera, Antonio M., Hendy F. Suhandri, Eugenio Realini, Mirko Reguzzoni, and M. Clara de Lacy. "goGPS: open-source MATLAB software." GPS Solutions 20, no. 3 (2015): 595–603. http://dx.doi.org/10.1007/s10291-015-0469-x.

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Henley, Mark, and Richard Kemp. "Open Source Software: An introduction." Computer Law & Security Review 24, no. 1 (2008): 77–85. http://dx.doi.org/10.1016/j.clsr.2007.11.003.

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