来自异构和时间窗口软件开发工件的人性化摘要
Human-Like Summaries from Heterogeneous and Time-Windowed Software Development Artefacts
摘要：
自动文本摘要在软件工程领域引起了极大的兴趣。总结与软件项目相关的活动是具有挑战性的，（1）因为所涉及的软件工件的数量和异质性，以及（2）因为不清楚开发人员在这样的多文档摘要中寻求什么信息。我们提出了第一个框架，用于总结在给定的时间范围内包含异构数据的多文档软件工件。为了生成类似人类的摘要，我们采用了一系列迭代算法来最小化文本和高维特征向量之间的余弦相似性。第一项研究表明，用户发现自动生成的摘要是最有用的，当它们是使用单词相似性和基于八个最相关的软件人工制品生成的。
英文摘要：
Automatic text summarisation has drawn considerable interest in the area of software engineering. It is challenging to summarise the activities related to a software project, (1) because of the volume and heterogeneity of involved software artefacts, and (2) because it is unclear what information a developer seeks in such a multi-document summary. We present the first framework for summarising multi-document software artefacts containing heterogeneous data within a given time frame. To produce human-like summaries, we employ a range of iterative heuristics to minimise the cosine-similarity between texts and high-dimensional feature vectors. A first study shows that users find the automatically generated summaries the most useful when they are generated using word similarity and based on the eight most relevant software artefacts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
