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Selected Works of David LO
Article
Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013]
ACM SIGSOFT Software Engineering Notes
  • Ming LI, Nanjing University
  • Hongyu ZHANG, Tsinghua University
  • David LO, Singapore Management University
  • Lucia Lucia, Singapore Management University
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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
Identifier
10.1145/2693208.2693219
Publisher
ACM
Copyright Owner and License
Publisher
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Additional URL
https://doi.org/10.1145/2693208.2693219
Citation Information
Ming LI, Hongyu ZHANG, David LO and Lucia Lucia. "Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013]" ACM SIGSOFT Software Engineering Notes Vol. 40 Iss. 1 (2015) p. 1 - 2
Available at: http://works.bepress.com/david_lo/275/