Using data analytics for collaboration patterns in distributed software team simulations: the role of dashboards in visualizing global software development patterns

This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of various types of information in relation to Global Software Development (GSD). Due to the nature of this work, and the need for continuous pilot studies, simulations of distributed software teams have been created with the participation of learners from a number of institutions. This paper discusses two pilot studies with the participation of six institutions from two different countries

Using data analytics for collaboration patterns in distributed software team simulations: the role of dashboards in visualizing global software development patterns

This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of various types of information in relation to Global Software Development (GSD). Due to the nature of this work, and the need for continuous pilot studies, simulations of distributed software teams have been created with the participation of learners from a number of institutions. This paper discusses two pilot studies with the participation of six institutions from two different countries

Developing and Harnessing Software Technology in the South: The Roles of China, India, Brazil, and South Africa

Software technology is gaining prominence in national information technology (IT) strategies due to its huge potential for socioeconomic development, particularly through the support it provides in the productive sectors of the economy, delivery of public services and engagement of citizens. In growing numbers of developing countries, software technology is also being leveraged for income generation from digital services and products. For instance, in recent years, India, Chile, the Philippines, Brazil, China, and Indonesia have emerged as important global players in the offshore software services industry, with India and China standing out as leaders. Cooperation between developing countries (south-south) in the area of software technology has also been growing; particularly in the application of software technology to agriculture, public administration and governance (e-governance), transportation and the society (knowledge society). The paper presents the current state of software technology in the south and specifically, the maturity of the software industries in China, India, Brazil, and South Africa (CIBS). It establishes profiles of different regions based on the level of education, quality of research and availability of e-infrastructure and e-applications for determining the potential of these regions in terms of growth and competitiveness in the global software industry. Further complementary analysis of country profiles produced country clusters, helping to identify potential collaboration scenarios for advancing software capacity in the south. Finally, the paper discusses how CIBS can pivot regional or inter-regional cooperation in software technology in the south.software technology, software industry, south-south cooperation, China, Brazil, India, South Africa

The Use of Kanban to Alleviate Collaboration and Communication Challenges of Global Software Development

Aim/Purpose: This paper aims to describe how various Kanban elements can help alleviate two prominent types of challenges, communication and collaboration in Global Software Development (GSD). Background: Iterative and Lean development methodologies like Kanban have gained significance in the software development industry, both in the co-located and globally distributed contexts. However, little is known on how such methodologies can help mitigate various challenges in that occur in a globally distributed software development context. Methodology: The study was conducted using a single-case study based on a general inductive approach to analysis and theory development. Through the literature review, collaboration and communication challenges that GSD teams face were identified. Data collected through semi-structured interviews was then inductively analyzed to describe how the case-study teams employed various Kanban elements to mitigate communication and collaboration challenges they face during GSD. Findings: The study found that some Kanban elements, when properly employed, can help alleviate collaboration and communication challenges that occur within GSD teams. These relate to Inclusion Criteria, Reverse Items, Kanban Board, Policies, Avatars, and Backlog. Contribution: The paper contributes to knowledge by proposing two simple concept maps that detail the specific types of communication and collaboration challenges which can be alleviated by the aforementioned Kanban elements in GSD. Recommendations for Practitioners: This paper is relevant to GSD teams who are seeking ways to enhance their team collaboration and communication as these are the most important elements that contribute to GSD project success. It is recommended that relevant Kanban elements be used to that effect, depending on the challenges that they aim to alleviate. Future Research: Future research can investigate the same research questions (or similar ones) using a quantitative approach

Social network analysis

Social network analysis comprises a powerful set of techniques for quantifying, differentiating, and interpreting social interactions or relational data in general. This provides a means of interrogating assumptions of independent yet homogeneous actions and pay-offs in economic processes, a particular interest of heterodox approaches to economics. Contemporary applications include modelling opinion leadership among consumers, search and matching in labour markets, collaboration in research and development, patterns of innovation diffusion among firms, and global commodity chains. This chapter introduces the central concepts and methods of social network analysis, including data collection and interpretation considerations and a brief discussion of specialized software in the field. Each is illustrated with an economic application, either a heterodox example or with a discussion of its heterodox implications

Towards classifying sociocultural aspects in global software development

The geographical, temporal distances and socio-cultural differences are the biggest challenges for Global Software Development (GSD). In GSD, it is necessary to deal with behaviors, values and skills of the team members, conflicts, rework, delays, etc. can influence a software production process. The objective of this paper is to identify the sociocultural aspects and propose a classification structure under different analytical perspectives in order to offer adequate support to the management of GSD teams. A systematic mapping and proposal an approach that classifies aspects in three perspectives: collaboration, people and external. The analysis allows the project manager to make decisions about the performance of human resources and mitigate problems arising from communication, cooperation and coordination, generating better results in indicators of productivity, quality and efficiency of GSD teams

COMPUTER BASED LEARNING FOR ISLAMIC EDUCATION IN JUNIOR HIGH SCHOOL OF MUHAMMADIYAH 1 PURWOKERTO

The 21st century, is the era of globalization and information. Information become one of critical resources that determine global competences. The development of science and technology in paticular the advancement of information and communication technology (ICT) has created new tradition and culture in civilization. The development of ICT gives the influence to various of life, especially in education sector. One of innovation to increase the quality of learning. is Computer Based Learning (CBL)in learning process. This research is obtained to empowering for explaining, understanding, knowing, and describing the Computer base Learning in Islamic Education of Muhammadiyah 1 Purwokerto. The implementation of Junior High School of Muhammadiyah 1 Purwokerto for data collection the research has conducted interview, observation and documentation. The interview to teacher and academic staff. The data analysis technique is Reduction data, Data display, verification and conclusion. Base on analysis of it can be explain that implementation of CBL was focus on software utilization, strategy and model. There are 3 main software for supporting Islamic Religious Course i.e: Al-Qur’an online, Al-Qur’an In word and Quipper School. Collaboration base learning and Simulation base Learning are the main strategies in learning process. Meanwhile, drill and tutorial become the model of learning process

Open innovation in South Africa : case studies in nanotechnology, biotechnology, and open source software development

Published ArticleIn the era of open innovation, the capability to conduct collaborative research and development has become a key indicator of absorptive capacity and innovation competitiveness. However, the literature addressing open innovation has a focus on developed economies. New evidence from the South African National R&D Survey, together with supplementary data, make it possible to gain a greater understanding of the structure of open innovation in nanotechnology, biotechnology and open source software in the South African context. Findings from a comparative analysis include: the identification of collaboration-intensive R&D networks whose structures are influenced by the characteristics of each technological platform; linkages between localized innovation networks and global innovation networks; and distinct patterns of expenditure, sectoral distribution and geographical location characterizing each of these technologies. The paper concludes with some suggestions for policy applications for these findings as well as directions for further research

Dynamics of collaborative work in global software development environment.

This study aims to explore the dynamics of collaborative work in global software development projects. The study explored the nature of collaboration, the patterns of collaborative behaviors in different tasks in computer science, and the impact of the tasks to the collaboration among students. Four different collaborative software development tasks were assigned to the globally distributes teams. The study used data from 230 students from five universities, namely Atilim University (Turkey), Middle East Technical University (Turkey), Universidad Tecnológica de Panamá (Panama), University of North Texas (US), and Middlesex University (UK). The findings involve the recommendations for building effective collaborative working environments and guidelines for building collaborative virtual communities

Risk of postoperative pulmonary complications in adult surgical patients with metabolic syndrome: a systematic review and meta-analysis protocol

Background: Metabolic syndrome (MetS) is defined as an accumulation of risk factors that include chronic hypertension, dyslipidaemia, insulin resistance and obesity and leads to an increased risk for diabetes, cardiovascular disease and stroke. MetS is widespread and estimated to affect up to a quarter of the global population. Patients with MetS who undergo surgery are associated with an increased risk of postoperative complications when compared with patients with a non-MetS profile. An emerging body of literature points to MetS being associated with a greater risk of postoperative pulmonary complications (PPC) in the surgical patient. PPC are associated with increased postoperative morbidity and mortality, Intensive care unit (ICU) admission, length of stay (ICU and hospital), health care costs, resource usage, unplanned re-intubation and prolonged ventilatory time. Methods/design: We will search for relevant studies in the following electronic bibliographic databases: EMBASE, MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Scopus as well as scan the reference lists of included studies for potential additional literature. Two authors will independently screen titles and abstracts to identify potentially relevant studies for inclusion based on predefined inclusion and exclusion criteria. The Cochrane Collaboration Review Manager (Review Manager 5) statistical software will be used to conduct this systematic review and meta-analysis and generate forest plots to demonstrate comparison of findings across studies included for meta analysis. Subgroup and sensitivity analysis will be performed to assess the heterogeneity of included studies. A descriptive synthesis of the statistical data will be provided to summarise the results and findings of the systematic review and meta-analysis. Discussion: This review will be the first to report and summarise the risk for and incidence of PPC in adult patients with MetS undergoing surgery across a range of surgical specialities. The results have the potential to inform the development of evidenced-based interventions to improve the management of PPC in the surgical patient with MetS. Findings from this systematic review and meta-analysis will inform a subsequent Delphi study on priorities and responses to PPC in patients with MetS. We will also disseminate our results through publication in scientific peerreviewed journals, conference presentations and promotion throughout our network of surgical safety champions in clinical settings