12 research outputs found
Clustering Questions in Healthcare Social Question Answering Based on Design Science Theory
Assessing personality traits in a large scale software development company: exploratory industrial case study
Software development methodologies become increasingly more people
and team-oriented. However, many software projects fail due to conflicts of team
members. Formation of an effective software development team may be particularly
challenging given the differences inherent across an individual’s personality. This
paper explores personality traits of agile software development teams by using a
context-specific interactive assessment. Concerning the assessment, we have
conducted a questionnaire with 110 participants from a large-scale software
development company. We have visualized personality traits with team radar charts
showing the personality traits of 18 project teams and analyzed the results by
validation interviews. Our preliminary results indicate that higher introversion is
observed most commonly in isolated teams that has less contact with customers.
Moreover, high levels of agreeableness and conscientiousness personality traits are
observed in most of the agile software development teams
A case study lens on process mining in practice
Process mining has a history of over two decades of published research papers and case studies started to appear a bit over a decade ago. In this paper we review these published process mining case studies to assess the maturity of the field from a practice point of view by considering (i) diffusion of tools and techniques into practice, and (ii) the thoroughness of the application of process mining methodologies. Diffusion is assessed by analysing the breadth of domains to which process mining has been applied and the variety of tools and techniques employed. We define measures of thoroughness for each of the various phases of a generalised process mining methodology and examine case studies identified from a literature search against these measures. We conclude that, despite maturing in terms of diffusion, application of process mining in practice has not seen an increased maturity over time in terms of thoroughness. One way to redress this situation is to pay more attention to the development of and adherence to methodological guidance