The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Challenges in Software Evolution
IWPSE '05 Proceedings of the Eighth International Workshop on Principles of Software Evolution
Proceedings of the 28th international conference on Software engineering
Mining metrics to predict component failures
Proceedings of the 28th international conference on Software engineering
Predicting defects using network analysis on dependency graphs
Proceedings of the 30th international conference on Software engineering
Can developer-module networks predict failures?
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging
ICSM '10 Proceedings of the 2010 IEEE International Conference on Software Maintenance
Assessing programming language impact on development and maintenance: a study on c and c++
Proceedings of the 33rd International Conference on Software Engineering
The impact of tangled code changes
Proceedings of the 10th Working Conference on Mining Software Repositories
| Hi-index | 0.00 |
Much research in software engineering have been focused on improving software quality and automating the maintenance process to reduce software costs and mitigating complications associated with the evolution process. Despite all these efforts, there are still high cost and effort associated with software bugs and software maintenance, software still continues to be unreliable, and software bugs can wreak havoc on software producers and consumers alike. My dissertation aims to advance the state-of-art in software evolution research by designing tools that can measure and predict software quality and to create integrated frameworks that helps in improving software maintenance and research that involves mining software repositories.