Understanding and Aiding Code Evolution by Inferring Change Patterns

Evolution continues to play an ever-increasing role in software engineering. Although changing a program is the core of software evolution, program change patterns have not been considered as a first class entity in most classic studies of software evolution. Past empirical studies of software evolu...

Full description

Saved in:
Bibliographic Details
Main Author: Kim, Miryung
Format: Conference Proceeding
Language:English
Subjects:
Cloning
Computer languages
Computer science
Control systems
Pattern analysis
Programming profession
Social and professional topics > Professional topics > Management of computing and information systems > Software management
Social and professional topics > Professional topics > Management of computing and information systems > Software management > Software maintenance
Software and its engineering > Software creation and management
Software and its engineering > Software creation and management > Software post-development issues
Software engineering
Software quality
Software tools
Statistical analysis
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Evolution continues to play an ever-increasing role in software engineering. Although changing a program is the core of software evolution, program change patterns have not been considered as a first class entity in most classic studies of software evolution. Past empirical studies of software evolution primarily relied on quantitative and statistical analyses of a programover time [1], but did not focus on semantic and qualitative change patterns of a program. We hypothesize that by treating change patterns as first class entities we can better understand software evolution and also aid programmers in changing software.
DOI:10.1109/ICSECOMPANION.2007.81