Data Mining based Software Development Communication Pattern Discovery

Text Data Mining with Optimized Pattern Discovery

This paper describes an application of the optimized pattern discovery framework to text and Web mining. In particular, we introduce a class of simple combinatorial patterns over phrases, called proximity phrase association patterns, and consider the problem of nding the patterns that optimizes a given statistical measure in a large collection of unstructured texts. For this class of patterns, ...

Pattern Discovery from Graph-Structured Data - A Data Mining Perspective

A simple probability based term weighting scheme for automated text classification p. 33 Text classification for healthcare information support p. 44 Nurse scheduling using fuzzy multiple objective programming p. 54 Fuzzy adaptive threshold determining in the key inheritance based sensor networks p. 64 A new approach for evaluating students' answerscripts based on interval-valued fuzzy sets p. ...

Data Mining for Software Process Discovery in Open Source Software Development Communities

Software process discovery has historically been an intensive task, either done through exhaustive empirical studies or in an automated fashion using techniques such as logging and analysis of command shell operations. While empirical studies have been fruitful, data collection has proven to be tedious and time consuming. Existing automated approaches have expedited collection of fine-grained d...

Pattern-based semistructural data mining

Software Development Based on Software Pattern Evolution

This paper discusses a technique to model software patterns for supporting pattern based software development. Software development can be considered as the evolution of the artifacts to be produced. Software patterns are general structures that frequently appear in the artifacts and the patterns are also being evolved as the artifacts are being done. By specifying how to evolve software patter...