MUDABlue: an automatic categorization system for open source repositories
Journal of Systems and Software - Special issue: Selected papers from the 11th Asia Pacific software engineering conference (APSEC 2004)
Semantic clustering: Identifying topics in source code
Information and Software Technology
Determining Implementation Expertise from Bug Reports
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
ACM Transactions on Software Engineering and Methodology (TOSEM)
An approach to detecting duplicate bug reports using natural language and execution information
Proceedings of the 30th international conference on Software engineering
Using information retrieval based coupling measures for impact analysis
Empirical Software Engineering
A discriminative model approach for accurate duplicate bug report retrieval
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Reducing the effort of bug report triage: Recommenders for development-oriented decisions
ACM Transactions on Software Engineering and Methodology (TOSEM)
Fuzzy set and cache-based approach for bug triaging
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Automatic categorization of bug reports using latent Dirichlet allocation
Proceedings of the 5th India Software Engineering Conference
An adaptive approach to impact analysis from change requests to source code
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Mining whining in support forums with frictionary
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Automated, highly-accurate, bug assignment using machine learning and tossing graphs
Journal of Systems and Software
Integrated impact analysis for managing software changes
Proceedings of the 34th International Conference on Software Engineering
SmartDispatch: enabling efficient ticket dispatch in an IT service environment
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining textual requirements to assist architectural software design: a state of the art review
Artificial Intelligence Review
Towards understanding software change request assignment: a survey with practitioners
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
Categorizing bugs with social networks: a case study on four open source software communities
Proceedings of the 2013 International Conference on Software Engineering
| Hi-index | 0.00 |
When a software system critical for an organization exhibitsa problem during its operation, it is relevant to fix it ina short period of time, to avoid serious economical losses.The problem is therefore noticed to the organization havingin charge the maintenance, and it should be correctly andquickly dispatched to the right maintenance team.We propose to automatically classify incoming maintenancerequests (also said tickets), routing them to specializedmaintenance teams. The final goal is to develop arouter, working around the clock, that, without human intervention,dispatches incoming tickets with the lowest misclassificationerror, measured with respect to a given routingpolicy.6000 maintenance tickets from a large, multi-site, softwaresystem, spanning about two years of system in-fieldoperation, were used to compare and assess the accuracyof different classification approaches (i.e., Vector Spacemodel, Bayesian model, support vectors, classification treesand k-nearest neighbor classification). The application andthe tickets were divided into eight areas and pre-classifiedby human experts. Preliminary results were encouraging,up to 84% of the incoming tickets were correctly classified.