Search results for "Analytics"
showing 10 items of 256 documents
Explaining Change Paths of Systems and Software Development Practices
2010
This chapter discusses how systems development practices are shaped. Based on interviews conducted in ten development organizations and previous literature, we identify eight types of change paths in systems development practices: emergence, adoption, idealization, formalization, abandonment, informalization, entropy, and disobedience. We argue that the eight change path types provide an integrated theoretical framework on the study of how systems development practices change in organizations, projects, and among individual developers in a given context. We discuss how this framework complements existing theories and concepts of the contemporary literature on systems development.
Visibilidad, impacto y transferencia del conocimiento en revistas científicas de educación : la experiencia de Aula Magna 2.0
2020
Título, resumen y palabras clave en español e inglés Resumen basado en el de la publicación Disponible la versión en inglés Monográfico con el título: "Edición científica: 25 años de Relieve" El valor de la ciencia para la sociedad es indiscutible, pero para generar un impacto social y educativo, es indispensable saber transferir el conocimiento científico. Se analiza la relevancia y el impacto de la difusión de un artículo científico en el proceso de construcción de la ciencia y su transferencia a la sociedad. Se valora la irrupción de nuevos canales de difusión para el aumento de la visibilidad y la transferencia de los avances científicos, y se exploran las analíticas del blog académico …
Group Decision-Making Processes in Industrial Software Evolution
2007
Software evolution decision-making is important. Decisions can be made by an individual or a group. Currently it is not known how decision-making is organized in software industry. However, that knowledge is needed to improve the decision-making processes. Therefore, we have studied 29 decision making experts, who were involved in software evolution decision-making. The study was performed with qualitative methods, which enabled the gathering of versatile information concerning the views of the decision-makers. The study revealed group decisions are widely used both in private and public organizations and attitudes towards them are generally positive or neutral. The study provided informati…
Scenarios on Adoption of Open Source Software in the Communications Software Industry
2011
We examine the trends and developments affecting the adoption of open source software in the communications software industry. Based on expert interviews and scenario analysis, four alternative and possibly co-existing scenarios are derived. The analysis suggests that communication service providers will mostly deploy open source software in infrastructure software. Alternative developments include use of open source software in launching new services and in cloud computing. The present study is relevant particularly for technology managers considering open source strategies.
Diffusion of software technology innovations in the global context
2003
This study examines how software businesses are acquiring new software technology innovations (STIs) in rapidly changing globalized business environment characterized by rapidly shortening software technology life cycles, changing customer demands, and intense competition. It was executed through both theoretical and empirical investigations and analyses. It describes one case company as an example of the diffusion of STI and develops a framework for the diffusion of software technology innovation. The research findings are useful for both further research and industrial settings.
Fusing storage and computing for the domain of business intelligence and analytics: research opportunities
2015
With the growing importance of external and shared data, the set of requirements for Business Intelligence and Analytics (BIA) is shifting. Current solutions still come with shortcomings, esp. In multi-stakeholder environments where sensitive content is exchanged. We argue that a new level in the evolution of BIA can be unlocked by tearing down the barriers between storage and computing based on upcoming storage technologies. In particular, we propose a revitalization of ideas from object-oriented databases. We present results from a joint project that aimed at delineating design options for BIA solutions built upon this idea. The paper outlines the interplay of various architectural layers…
Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories
2004
This paper presents a comparison among several well-known machine learning techniques when they are used to carry out a one-session ahead prediction of page categories. We use records belonging to 18 different categories accessed by users on the citizen web portal Infoville XXI. Our first approach is focused on predicting the frequency of accesses (normalized to the unity) corresponding to the user’s next session. We have utilized Associative Memories (AMs), Classification and Regression Trees (CARTs), Multilayer Perceptrons (MLPs), and Support Vector Machines (SVMs). The Success Ratio (SR) averaged over all services is higher than 80% using any of these techniques. Nevertheless, given the …
Framing automatic grading techniques for open-ended questionnaires responses. A short survey
2021
The assessment of students' performances is one of the essential components of teaching activities, and it poses different challenges to teachers and instructors, especially when considering the grading of responses to open-ended questions (i.e., short-answers or essays). Open-ended tasks allow a more in-depth assessment of students' learning levels, but their evaluation and grading are time-consuming and prone to subjective bias. For these reasons, automatic grading techniques have been studied for a long time, focusing mainly on short-answers rather than long essays. Given the growing popularity of Massive Online Open Courses and the shifting from physical to virtual classrooms environmen…
Creation of a food taste database using an in-home "taste" profile method
2014
International audience; The purpose of this study was to create a food 'taste' database using an innovative in-home profile method. The five basic tastes and fat sensation were studied. The proposed method consisted in an intensive training in laboratory (55 h, 5 months) immediately followed by an in-home measurements phase (8 months) during which 12 trained panelists had to evaluate the five tastes and fat sensation of the foods they typically consumed. The rating scales were inspired by scales used in the Spectrum (TM) method. During the in-home measurement phase, ratings were reported thanks to a web-based tool and each month the panelists returned to the laboratory for a 2-h retraining …
The Training and Development of Elite Sprint Performance: an Integration of Scientific and Best Practice Literature.
2019
Despite a voluminous body of research devoted to sprint training, our understanding of the training process leading to a world-class sprint performance is limited. The objective of this review is to integrate scientific and best practice literature regarding the training and development of elite sprint performance. Sprint performance is heavily dependent upon genetic traits, and the annual within-athlete performance differences are lower than the typical variation, the smallest worthwhile change, and the influence of external conditions such as wind, monitoring methodologies, etc. Still, key underlying determinants (e.g., power, technique, and sprint-specific endurance) are trainable. In th…