This paper employs the analysis of an interpretive case study within a Regional Train Operating Company (RTOC) to arrive at theoretical understandings of Information Systems (IS)....
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
—Architecture-based software reliability analysis methods shall help software architects to identify critical software components and to quantify their influence on the system r...
This is a case study about the early adoption and use of micro-blogging in a Fortune 500 company. The study used several independent data sources: five months of empirical micro-b...
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...