Graph-based analysis and prediction for software evolution

  title={Graph-based analysis and prediction for software evolution},
  author={Pamela Bhattacharya and Marios Iliofotou and Iulian Neamtiu and Michalis Faloutsos},
  journal={2012 34th International Conference on Software Engineering (ICSE)},
We exploit recent advances in analysis of graph topology to better understand software evolution, and to construct predictors that facilitate software development and maintenance. Managing an evolving, collaborative software system is a complex and expensive process, which still cannot ensure software reliability. Emerging techniques in graph mining have revolutionized the modeling of many complex systems and processes. We show how we can use a graph-based characterization of a software system… CONTINUE READING
Highly Cited
This paper has 189 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 92 extracted citations

Multi-granular Conflict and Dependency Analysis in Software Engineering Based on Graph Transformation

2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) • 2018
View 1 Excerpt
Highly Influenced

Forecasting Java Software Evolution Trends Employing Network Models

IEEE Transactions on Software Engineering • 2015
View 5 Excerpts
Highly Influenced

Defect Prediction Based on the Characteristics of Multilayer Structure of Software Network

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) • 2018

Graph-based ERP Software Evolution under Internet

2018 10th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) • 2018
View 1 Excerpt

190 Citations

Citations per Year
Semantic Scholar estimates that this publication has 190 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

The Anatomy of a Large-Scale Hypertextual Web Search Engine

Computer Networks • 1998
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…