Abstract: Metrics associated with computer code files within a codebase may be analyzed to identify bug-prone files. Functions of the method or system may determine metrics corresponding to each file of a plurality of codebase files within an application codebase. The functions may also store the metrics corresponding to each codebase file in a record of a database table, rank order the plurality of codebase files according to at least one metric, and flag each codebase file having a ranking over a threshold value of the metric. The codebase file metrics may describe fault-inducing characteristics of the plurality of codebase files and include both a total number of previous faults and a total number of changes that are associated with each codebase file.

Abstract: A method of collecting and analyzing data over a network is disclosed which for embedding in webpages and which collects feedback from a plurality of users, and processes the feedback to detect sentiment, which may be presented in a chart. Processing may comprise parsing the feedback, breaking it down into parts, labelling the parts and assigning a numerical value depending on sentiment. The chart may form part of an intuitive and simple to use dashboard display.

Abstract: Metrics associated with computer code files within a codebase may be analyzed to identify bug-prone files. Functions of the method or system may determine metrics corresponding to each file of a plurality of codebase files within an application codebase. The functions may also store the metrics corresponding to each codebase file in a record of a database table, rank order the plurality of codebase files according to at least one metric, and flag each codebase file having a ranking over a threshold value of the metric. The codebase file metrics may describe fault-inducing characteristics of the plurality of codebase files and include both a total number of previous faults and a total number of changes that are associated with each codebase file.