Open Source Software Governance: A Case Study Evaluation of Supply Chain Management Best Practices

Corporate open source governance aims to manage the increasing use of free/libre and open source software (FLOSS) in companies. To avoid the risks of the ungoverned use, companies need to establish processes addressing license compliance, component approval, and supply chain management (SCM). We proposed a set of industry-inspired best practices for supply chain management organized into a handbook. To evaluate the handbook, we ran a one-year case study at a large enterprise software company, where we performed semi-structured interviews, workshops, and direct observations. We assessed the initial situation of open source governance, the implementation of the proposed SCM best practices, and the resulting impact. We report the results of this study by demonstrating and discussing the artifacts created while the case study company implemented the SCM-focused governance process. The evaluation case study enabled the real-life application and the improvement of the proposed best practices

Getting Started with Corporate Open Source Governance: A Case Study Evaluation of Industry Best Practices

Ope​n source software usage in companies is on the rise, often resulting in lower development costs, higher quality, and quick availability of code. However, using open source software in products comes with legal, business, and technical risks. Experienced companies prevent and address these risks through corporate open source governance. In our previous work, we studied how top-tier companies got started with corporate open source governance. We proposed a set of industry best practices on the topic, using the practical format of interconnected context-problem-solution patterns. In this study, we put the proposed state-of-the-art practices to the test by evaluating their real-life application in a case study at a Germany-based multibillion-dollar corporation with products in four distinct industries and more than 17000 employees worldwide. In the course of two and a half years, we conducted 35 semi-structured employee interviews and workshops in five divisions of the company to assess the initial situation of open source governance, the process of getting started with governance following our recommendations, and the outcomes. In this paper, we report the results of this longitudinal case study by presenting the artifacts created while getting started with open source governance, as well as the transferability evaluation of the proposed best practices, both individually and collectively

User Experience Design in Software Product Lines

User experience design is an important part of software product development, and yet software product line engineering has largely ignored this topic. This paper presents a set of industry best practices for user experience design in software product lines. We conducted multiple-case case study research using two different product lines within the multinational company Siemens AG: in a healthcare software division and in an industrial automation software division. We performed a preliminary exploratory study that will serve as a baseline for future research in the design, implementation, and management of user experience design in the context of software product lines. Practitioners can use our findings and the resulting best practices to improve their user experience design, particularly within healthcare and industrial automation software product lines

Industry Best Practices for Corporate Open Sourcing

Companies usually don’t share the source code for the software they develop. While this approach is justified in software that constitutes differentiating intellectual property, proprietary development can lead to redundant development and other opportunity costs. In response, companies are increasingly open sourcing some if not all of their non-differentiating software. Given the limited academic research on this emerging topic, we bridge the gap between industry and academia by taking a practice-based approach. We investigate why and how companies engage in corporate open sourcing. We take an exploratory case study approach. Our cases are four companies with multibillion-dollar revenues each: A major e-commerce company based in Germany; a leading social networking service company based in the USA; a cloud computing software company based in the USA; and a manufacturing and media software company based in the USA. We present the resulting theory in an actionable format of state-of-the-art best practice patterns

A Solution for Automated Grading of QDA Homework

Teaching research methods is important in any curriculum that prepares students for an academic career. While theoretical frameworks for qualitative theory building can be adequately conveyed through lecturing, the practices of qualitative data analysis (QDA) cannot. However, using experiential learning techniques for teaching QDA methods to large numbers of students presents a challenge to the instructor due to the effort required for the grading of homework. Any homework involving the coding of qualitative data will result in a myriad of different interpretations of the same data with varying quality. Grading such assignments requires significant effort. We approached this problem by using methods of inter-rater agreement and a model solution as a proxy for the quality of the submission. The automated agreement data serves as the foundation for a semi-automated grading process. Within this paper, we demonstrate that this proxy has a high correlation with the manual grading of submissions

Trajetória educacional individual do aluno: estágios e requisitos para a construção

The article discusses the individual educational trajectory, the stages of building individual educational trajectory, the requirements for building individual educational trajectory, and the individualization of the educational process. An individual educational trajectory can be defined as a personal way of realizing the student’s personal potential in the educational process. The building and implementation of individual educational trajectories are possible as long as students implement a logically justified chain of choices in the course of their educational activities that lead to the necessary result. A special role in the building and implementation of individual educational trajectories (routes) is played by the nature of the interaction between the teacher and the student. The most successful is considered to be psychological and pedagogical support, i.e., a system of individual support in personal and professional development, as well as counseling in the formation of individual professional experience and mastering professional skills.El artículo analiza la trayectoria educativa individual, las etapas de construcción de la trayectoria educativa individual, los requisitos para la construcción de la trayectoria educativa individual y la individualización del proceso educativo. Una trayectoria educativa individual se puede definir como una forma personal de realizar el potencial personal del estudiante en el proceso educativo. La construcción e implementación de trayectorias educativas individuales es posible siempre que los estudiantes implementen una cadena de elecciones lógicamente justificada en el curso de sus actividades educativas que conduzcan al resultado necesario. La naturaleza de la interacción entre profesor y alumno desempeña un papel especial en la construcción e implementación de trayectorias educativas individuales. Se considera que el más exitoso es el apoyo psicológico y pedagógico, un sistema de apoyo individual en el desarrollo personal y profesional, así como el asesoramiento en la formación de la experiencia profesional individual y el dominio de habilidades profesionales.O artigo discute a trajetória educacional individual, as etapas de construção da trajetória educacional individual, os requisitos para a construção da trajetória educacional individual e a individualização do processo educacional. Uma trajetória educacional individual pode ser definida como uma forma pessoal de perceber o potencial pessoal do aluno no processo educacional. A construção e implementação de trajetórias educacionais individuais são possíveis desde que os alunos implementem uma cadeia de escolhas logicamente justificada no curso de suas atividades educacionais que conduzam ao resultado necessário. Um papel especial na construção e implementação de trajetórias educacionais individuais (rotas) é desempenhado pela natureza da interação entre o professor e o aluno. O mais bem sucedido é considerado o apoio psicológico e pedagógico, ou seja, um sistema de apoio individual no desenvolvimento pessoal e profissional, bem como o aconselhamento na formação da experiência profissional individual e no domínio das competências profissionais

The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

A global experiment on motivating social distancing during the COVID-19 pandemic

Finding communication strategies that effectively motivate social distancing continues to be a global public health priority during the COVID-19 pandemic. This cross-country, preregistered experiment (n = 25,718 from 89 countries) tested hypotheses concerning generalizable positive and negative outcomes of social distancing messages that promoted personal agency and reflective choices (i.e., an autonomy-supportive message) or were restrictive and shaming (i.e., a controlling message) compared with no message at all. Results partially supported experimental hypotheses in that the controlling message increased controlled motivation (a poorly internalized form of motivation relying on shame, guilt, and fear of social consequences) relative to no message. On the other hand, the autonomy-supportive message lowered feelings of defiance compared with the controlling message, but the controlling message did not differ from receiving no message at all. Unexpectedly, messages did not influence autonomous motivation (a highly internalized form of motivation relying on one’s core values) or behavioral intentions. Results supported hypothesized associations between people’s existing autonomous and controlled motivations and self-reported behavioral intentions to engage in social distancing. Controlled motivation was associated with more defiance and less long-term behavioral intention to engage in social distancing, whereas autonomous motivation was associated with less defiance and more short- and long-term intentions to social distance. Overall, this work highlights the potential harm of using shaming and pressuring language in public health communication, with implications for the current and future global health challenges

The Psychological Science Accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data