The distributed computer system

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University

Development of a framework to understand the factors that influence software productivity in agile teams

Productivity improvement in the software industry is one of the major challenges facing many software development companies in this century. Most companies have adopted agile methodologies in order to profit from the benefits claimed for them. Agile methodologies are characterised by frequent software delivery, short feedback loops, quicker response to change, and problem identification earlier in the development process. The agile approach has been recognised as paving a way for companies to acquire higher software productivity, delivering good-quality and cost-effective software, enabling software development companies to respond to business challenges with their demands for high quality, high performance and high development speed in delivering the final product. For companies that adopt agile methodologies, understanding the factors that influence their teams’ software development productivity is a challenging task for management and practitioners today. In this research, an analysis is presented that identifies productivity factors that affect agile teams. It is a study of agile methods to identify common agile practices and/or values that have impact on productivity, and describes suitable metrics that could be used to measure agile team productivity. A qualitative research approach was used, and the case study was chosen as the research strategy. Two South African companies that are located in two different provinces and that adopted agile methodologies in their software development, were selected for the case studies. Qualitative content analysis was used in the research to permit subjective interpretation of factors that influence agile team productivity, and to analyse to what extent these factors affected productivity. This research has shown that an understanding of the factors that influence an agile team’s productivity gives significant insight into the way agile teams work, motivates team members to work together, and leads to uniform metrics in tracking each team’s progress. The study indicates that tracking an agile team’s work and providing adequate tools needed to execute their tasks results in improving agile team productivity. It should be recognised that using metrics to measure performance in agile teams is helpful in creating a team’s culture and trust. In this study, it was found that the factors identified in both literature and case studies affected productivity in the two companies under study, both positively and negatively. The study also found that applying the correct metrics in assessing, analysing and reviewing an agile team’s performance is important when monitoring productivity. Successful software delivery is only possible if individuals are committed to their work, are provided with the necessary tools and have access to a stable working environment. In addition, individual factors such as knowledge, skills, abilities, personalities and experience should be considered when forming agile teams. Consideration of these factors will result in grouping people that are able to work together and achieve a common goal, which is important in improving productivity. A conceptual framework for agile team productivity was proposed. The discussion of the findings is presented in more detail in this research.School of ComputingM.Sc. (Computing

Summary of research in applied mathematics, numerical analysis, and computer sciences

The major categories of current ICASE research programs addressed include: numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; control and parameter identification problems, with emphasis on effective numerical methods; computational problems in engineering and physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and computer systems and software, especially vector and parallel computers

Editor-in-Chief's Picks From 2014: Part One

As I spent countless hours pouring over hundreds of manuscripts to select those that rose to the top over the past year, I became incredibly excited about being part of a Journal that produces such wonderfully rich and diverse content each year. I have personally selected the papers (both original investigations and review articles) from 13 distinct specialties for your review. There are approximately 150 articles selected across this 2-part series, which represents less than 3% of the papers submitted to JACC in 2014. In order to present the full breadth of this important research in a consumable fashion, we will present these manuscripts over the course of 2 issues of JACC.Part One includes the sections: Congenital Heart Disease, Coronary Disease & Interventions, Genetics, Omics, & Tissue Regeneration, CV Prevention & Health Promotion, Cardiac Failure, and Cardiomyopathies (1–70). Part Two includes the sections: Hypertension, Imaging, Metabolic Disorders & Lipids, Neurovascular & Neurodegenerative Disorders, Rhythm Disorders, Valvular Heart Disease, and Vascular Medicine