让下一篇重要论文，不再错过。

原文摘要

Modern issue tracking systems are used to log an issue and track it from its inception to closure. Issue reports with diverse discussions from stakeholders can be large and verbose, making them challenging to analyze quickly. Our developer interviews revealed that they struggled with the diverse information in issue reports and demanded automated techniques to classify and summarize information. We designed a tool, iSum (issue summarizer), that helps with the automatic classification and summarization of information types discussed in issue reports. The summarizer offers two views: 1. Developer View takes an issue report as input and outputs visualized summaries of information in the report. 2. Manager View takes a suite of all issue reports under a given software project as inputs and shows the prevalence and trends of different information types across the reports. We evaluated iSum through three studies. 1. In an empirical study over two benchmarks, iSum offers, on average, 11-13% higher F1-scores than state-of-the-art baselines to detect information types. 2. We conducted a user study in task-based setup with 30 developers to determine iSum's effectiveness in issue exploration scenarios. Results showed increased productivity and accuracy with iSum compared to manual inspection. 3. We assessed iSum's feasibility for development and management tasks. It proved useful to both developers and project managers for issue comprehension and trend monitoring.