Improving Software Quality and Productivity Leveraging Mining Techniques: [Summary of the Second Workshop on Software Mining, at ASE 2013]

• Main Authors: LI, Ming, ZHANG, Hongyu, David LO, Lucia, Lucia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Software quality; developer productivity; data mining; workshop report; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3101; https://ink.library.smu.edu.sg/context/sis_research/article/4101/viewcontent/ImprovingSoftwareQuality_2013_p44a_li.pdf
• Institution: Singapore Management University

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.