Publication Type
Magazine Article
Version
acceptedVersion
Publication Date
1-2015
Abstract
The second International Workshop on Software Mining (Soft-mine) was held on the 11th of November 2013. The workshop was held in conjunction with the 28th IEEE/ACM International Conference on Automated Software Engineering (ASE) in Silicon Valley, California, USA. The workshop has facilitated researchers who are interested in mining various types of software-related data and in applying data mining techniques to support software engineering tasks. During the workshop, seven papers on software mining and behavior models, execution trace mining, and bug localization and fixing were presented. One of the papers received the best paper award. Furthermore, there were two invited talk sessions presented by two active researchers from software engineering and data mining community.
Keywords
Software quality, developer productivity, data mining, workshop report
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
ACM SIGSOFT Software Engineering Notes
Volume
40
Issue
1
First Page
1
Last Page
2
Identifier
10.1145/2693208.2693219
Publisher
ACM
Citation
LI, Ming; ZHANG, Hongyu; David LO; and Lucia, Lucia.
Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013]. (2015). ACM SIGSOFT Software Engineering Notes. 40, (1), 1-2.
Available at: https://ink.library.smu.edu.sg/sis_research/3101
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2693208.2693219