Code quality analysis in open source software development

BackgroundInnovation through an open source model has proven to be successful for software development. This success has led many to speculate if open source can be applied to other industries with similar success. We attempt to provide an understanding of open source software development characteristics for researchers, business leaders and government officials who may be interested in utilizing open source innovation in other contexts and with an emphasis on drug discovery.MethodsA systematic review was performed by searching relevant, multidisciplinary databases to extract empirical research regarding the common characteristics and barriers of initiating and maintaining an open source software development project.ResultsCommon characteristics to open source software development pertinent to open source drug discovery were extracted. The characteristics were then grouped into the areas of participant attraction, management of volunteers, control mechanisms, legal framework and physical constraints. Lastly, their applicability to drug discovery was examined.ConclusionsWe believe that the open source model is viable for drug discovery, although it is unlikely that it will exactly follow the form used in software development. Hybrids will likely develop that suit the unique characteristics of drug discovery. We suggest potential motivations for organizations to join an open source drug discovery project. We also examine specific differences between software and medicines, specifically how the need for laboratories and physical goods will impact the model as well as the effect of patents.

Shared understandings are important for software development as they guide effective individual contributions and coordination of the software development process. However, it is not clear if such understandings can be developed in highly distributed groups that do not regularly meet face-to-face. In this paper, we present the results of a preliminary analysis of shared mental models within a Free/Libre Open Source Software (FLOSS) development team. We analyzed mental models using cognitive mapping and process analysis and compared the models of four developers from the Apache Lucene Java project. Our analysis suggests that there is a high level of sharing among core developers but the sharing is not complete, with some differences related to tenure and role in the project. Finally, we suggest directions for further research on shared mental models in FLOSS teams.

We empirically examine the relationship between software design modularity and software quality in open source software (OSS) development projects. Conventional wisdom suggests that degree of software modularity affects software quality. An analysis of 203 software releases in 46 OSS projects hosted on SourceForge.net lends support for a more complex relationship between software modularity and software quality than conventional wisdom suggests. We find that software modularity is associated with reduced software complexity, an increased number of static software bugs, and a mixed relationship with the percentage of bugs closed. We do not find empirical evidence supporting any relationship between modularity and other measures of customer satisfaction. In addition to empirically testing the relationship between modularity and quality, we introduce new measures of software modularity and software quality. Implications are developed for the theory of modularity and the practice of software development.

Interest of scientific research on Open Source software and its development process is frequent. The number of articles available and the number of tracks or workshops on this topic in most relevant IS Conferences is high. The usability of Open Source Software has been scarcely considered until few years ago, probably due to the particular role that the user has in such a development environment. In Open Source software development, users and developers are not so different. Anyhow, the diffusion of the Open Source software outside the development community contributes to sharpen the distinction among these two groups that are no longer equivalent. This circumstance has contributed to increase the interest on usability of Open Source software. Nevertheless, studies on end-users in Open Source contexts are still young. This paper introduces a pilot study on end user's perception of Open Source software. The aim of this pilot study is to identify how the end user perceives the Open Source software (in terms of Usability, Functionality, Reliability, Efficiency and Quality in Use).

Wikitopia: Balancing intellectual property rights within open source research databases

Usability is an important quality characteristic of software products and information systems. Different approaches for introducing usability activities into open source software (OSS) development have not yet been fully evaluated. This paper experiments with the introduction of usability activities into OSS development through a participative approach. An empirical case study was carried out in a game development OSS project. The results of this study suggest that it is beneficial to introduce usability activities into OSS development through the participative approach. In the participative approach the usability experts become recognized part of the development community through adapting their ways of work into the culture of the OSS project and submitting code patches. This participative approach had a clear impact in the case project as seen in changes in the user interface and in improved usability. The challenge of adapting usability and OSS development philosophies and practices should, however, be researched further.

Open source software is becoming increasingly prominent, and the economic structure of open-source development is changing. In recent years, firms motivated by revenues from software services markets have become the primary contributors to open-source development. In this paper we study the role of services in open source software development and explore the choice between open source and proprietary software. Specifically, our economic model jointly analyzes the investment and pricing decisions of the originators of software and of subsequent open-source contributors. We find that if a contributor is efficient in software development, the originator should adopt an open-source strategy, allowing the contributor to offer higher total quality and capture the higher end of the market while the originator focuses on providing software services to lower end consumers. Conversely, if the contributor is not efficient in development, the originator should adopt a proprietary software development strategy, gaining revenue from software sales and squeezing the contributor out of the services market. In certain cases an increase in originator development efficiency can result in increased contributor profits. Finally, we find that, somewhat counterintuitively, an increase in contributor development efficiency can reduce overall social welfare.

By reviewing the history of the open-source movement and highlighting recent research on its unique developmental processes, the author suggests that there are general lessons for anyone seeking to encourage innovation in any field or industry. What incentives, for instance, spark these Internet-based communities of software developers to innovate voluntarily outside the company's boundaries without formal work agreements? Research shows that open-source software developers freely reveal and share information because they garner personal benefits, such as reputation enhancement, expertise refinement and, quite simply, enjoyment. Researchers also note that, since most of these benefits are contingent upon membership in well-functioning developer enclaves, a sense of community is important to the open-source phenomenon. For example, identification with the highly esteemed Linux operating-system project instills a sense of responsibility and loyalty among contributors, who are motivated by their perceived indispensability to the team. Researchers point out, however, that developers also are motivated by a pragmatic desire to customize software. Much of the referenced research explores the unusual nature of open-source licensing agreements and intellectual-property protection. That is, open-source licenses guarantee the rights not of developers, but of future users against appropriation, and developers guard their work zealously with online sanctioning, brands and logos. Noting that the products emanating from open-source projects are often commercially attractive and widely used in business and government (for example, at IBM, NASA, Sun Microsystems, the German government), the author concludes by discussing the implications for future business activities.

Open Source Software (OSS) is software products available to the public, with its source code to study, change, and improves its design. Open Source Software Development (OSSD) is the process by which open source software is developed within the confines of software engineering life-cycle methods. However when open source used for commercial purpose, then an open source license is required. Open source software is very often developed in a public and collaborative manner. The quality assurance principle under open source software development is an approach to improve software product quality against traditional methods and techniques. Despite the fact that the open source developments have seen remarkable successful in recent years, there are a number of product quality issues and challenges facing the open source development model. Many industries and business sectors are following or using OSSD, since they realize the benefits, but they do have some reservations concerning quality assurance in the form of program code quality, maintenance of the code and its quality, over the life-cycle of the product and third party usage. This paper reviews the literature of the process of the latest quality assurance, under open source software development methods and techniques. The result from this review is to show the process of quality assurance of open source software and that how it can affect the overall quality assurance principal.

Many previous studies have shown that open-source technologies help democratize information and foster collaborations to enable addressing global physical and societal challenges. The outbreak of the novel coronavirus has imposed unprecedented challenges to human society. It affects every aspect of livelihood, including health, environment, transportation, and economy. Open-source technologies provide a new ray of hope to collaboratively tackle the pandemic. The role of open source is not limited to sharing a source code. Rather open-source projects can be adopted as a software development approach to encourage collaboration among researchers. Open collaboration creates a positive impact in society and helps combat the pandemic effectively. Open-source technology integrated with geospatial information allows decision-makers to make strategic and informed decisions. It also assists them in determining the type of intervention needed based on geospatial information. The novelty of this paper is to standardize the open-source workflow for spatiotemporal research. The highlights of the open-source workflow include sharing data, analytical tools, spatiotemporal applications, and results and formalizing open-source software development. The workflow includes (i) developing open-source spatiotemporal applications, (ii) opening and sharing the spatiotemporal resources, and (iii) replicating the research in a plug and play fashion. Open data, open analytical tools and source code, and publicly accessible results form the foundation for this workflow. This paper also presents a case study with the open-source spatiotemporal application development for air quality analysis in California, USA. In addition to the application development, we shared the spatiotemporal data, source code, and research findings through the GitHub repository.

In stark contrast with the fully participative “bazaar” imagery of open source software (OSS) development, some recent empirical research has pointed out that much of the OSS development is carried out by a small percentage of developers. This raises serious concerns that concentration of development effort on a few will limit knowledge sharing and underutilize the available resources. Using the notion of strategic interaction, this paper argues that individual developers often interact strategically with other highly resourceful developers by forming a smaller but better organized structure to intensify the types of epistemic interactions that matter most to the OSS development. A general framework of strategic interaction including participation inequality, conversational interactivity, and cross-thread connectivity is proposed to examine its impact on knowledge sharing, and validated using 128 discussion threads from the K Desktop Environment (KDE) developer mailing list. The findings indicate that strategic interaction has expanded knowledge sharing but with the caveat that extreme concentration of development could have an opposite effect. For researchers, this study dovetails the incentive logic by proposing and validating the strategic aspects of OSS participation to better understand the collective dynamics underpinning OSS development. Practitioners can use this approach to evaluate and better support existing knowledge-sharing initiatives.

Open Source Software (OSS) projects rely on the efforts of thousands of software developers. The sustainability and diversity of these communities are two important factors for the longterm viability of OSS communities. This paper reviews the research on OSS sustainability and diversity. Drawing on the findings of measures on sustainability and diversity, we applied a number of the established metrics to the Android Open Source Project and found that over a third of all contributions originate from Google. Surprisingly, in 2015 we saw a decrease in the total number of contributors within the Android project. Findings from our analysis highlight the importance of sustainability and diversity for the development of OSS.

Social Coding Sites (SCSs) are social media services for sharing software development projects on the Web, many open source projects are currently being developed on SCSs. Assessing the quality is a crucial element for better selection of a specific project serving people requirements or needs. In this paper, we reviewed existing traditional models which evolved prior the evolution of open source software as well as open source quality models. We evaluated the selected models according to their reflection with respect to social coding project success factors: sociality, popularity, activity and supportability. Eight models were included in our research as we only selected models that introduces explicit metrics well defined for measuring, neither a process nor a generic methodology. Based on our selection criteria, a summary of the findings we obtained is that existing models doesn’t fully consider or cover social factors for open source software evaluation hence there is a need for a model to measure the maturity / quality of open source projects from social factors perspective. We have also evaluated the existing models against a selected open source project hosted on social coding GitHub to assess each model applicability. Some of the measurements from the existing models were not applicable for evaluation.

The problem of multicriteria optimization of tech stack selection in a non-linear software development environment is formalized. Approaches to solving the problem based on the formation of a compromise area of local quality criteria, additive convolution of vector criteria and their scalarization are considered. An aggregate quality criterion of the software development platform is proposed. It allows taking into account the nonlinearities of the external environment in the framework of solving the problem of extremal control. The coordinates of the vector criteria are piecewise continuous functions A comparative analysis of various approaches to changing the software development tech stack in the face of significant disturbances in the development tools market has been carried out. The possibilities of boxed solutions, custom development and Open Source software development in ensuring information security of the software development environment are shown. The information stability of a software development project using Less Code tools is established and the advantages of technological solutions are shown. The analysis of the adequacy of the obtained solutions was carried out using the Open Source Less Code of the Jmix platform. The data of a comparative analysis of the budgets of the Less Code platform and custom software from vendors are given, which showed the benefits of using Open Source software development tools for long-term operation of the development platform.

3-D printing technologies have become widely adopted and have spurred innovation and efficiency across many markets. A large contributor to the success of 3-D printing are open source, low cost electronics. On-site circuit manufacturing, however, has not become as widely utilized as 3-D printing. This project attempts to address this problem by proposing and demonstrating an open source circuit board milling machine which is inexpensive, easily manufactured, and accurate. In three interdependent sub-projects, this thesis defines a standard method for designing open source hardware, the design of the bespoke circuit mill, and explores an application of the mill for novel circuit manufacturing. The first sub-project develops a standardized process for designing, prototyping, and distributing open source hardware. Following these steps can help ensure success for each individual part of the project. In order to validate the procedure, a case study is explored of designing low cost parametric glass slide driers. The second sub-project details the design and construction of a circuit prototyping machine. The open source design procedure is implemented to assure maximum effectiveness. A software interface is also designed to control and carry out processing steps on the milling machine. The mill minimizes lead time and production costs of experimental circuitry. The mill also stands as a strong open source tool that can help foster growth in distributed manufacturing of electronics for a wide array of applications. The third and final sub-project explores a flexible and scalable power monitoring system. The electronics are designed according to the open source design procedure and are manufacturable with the circuit milling machine. The power meter can be used to monitor and log power consumption of a wide range of loads, including both AC and DC.