Abstract

In this paper, we show how data mining can be used to discover library reuse patterns in existing applications. Specifically, we consider the problem of discovering library classes and member functions that are typically reused in combination by application classes. This paper improves upon our earlier research using "association rules" [8] by taking into account the inheritance hierarchy using "generalized association rules". This turns out to be a non-trivial but worthwhile endeavor.

Citations

2159	Fast algorithms for mining association rules - Agrawal, Srikant - 1994
467	Dynamically discovering likely program invariants to support program evolution - Ernst, Cockrell, et al. - 2001
399	Agrawal R: Mining generalized association rules - Srikant - 1995
314	Data Mining : An Overview from a Database Perspective - Chen, Han, et al.
141	Knowledge Discovery in Databases - Piatetsky, Frawley - 1991
103	Tip: Reengineering Class Hierarchies Using Concept Analysis - Snelting, F - 1999
24	Confessions of a Used Program Salesman: Institutionalizing Software Reuse - Tracz - 1995
16	Identification of Data Cohesive Subsystems Using Data Mining Techniques - Oca, C, et al. - 1998
12	Data mining library reuse patterns in user-selected applications - Michail - 1999
9	Inductive specification recovery: Understanding software by learning from example behaviors - Cohen - 1995
6	Design by framework completion - Gangopadhyay, Mitra - 1996
2	Discovering predictive assocation rules - Megiddo, Srikant - 1998