面向软件仓库挖掘的数据驱动特征提取方法

doi:10.11896/j.issn.1002-137X.2015.09.031

Abstract

Abstract: In mining software repositories(MSR),software tasks are usually transformed into data mining problems for solving.Domain-specific features heavily impact the solving of software tasks.However,no systematic investigation has been conducted on the issue of extracting features for specific software tasks.In this study,data driven feature extraction(DDFE) is a new feature extraction approach.For a software task,DDFE extracts a set of software data(e.g.,source code,bug reports) and employs some volunteers to manually accomplish this software task.During the process,these volunteers are requested to submit their reasons under consideration.From these submitted reasons,DDFE can extract domain-specific features for software tasks.The experimental results on the task of bug report summarization demonstrate that DDFE may find effective features and achieve better predictive results against the state-of-the-art algorithm in the literatures.

Key words: Mining software repositories,Data driven approach,Feature extraction,Bug report summarization

LI Xiao-chen, JIANG He and REN Zhi-lei. Data Driven Feature Extraction for Mining Software Repositories[J].Computer Science, 2015, 42(9): 159-164.

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