中文摘要：

随着时间的推移，软件不断地更新和演化，软件仓库中累积了海量的数据，如何有效地收集、组织、利用软件工程中涌现的软件大数据是一个至关重要的问题.软件仓库挖掘（miningsoftwarerepositories，MSR)通过挖掘软件仓库中繁杂多变的数据中3■含的知识来提高软件的质量和生产效率.虽然一些研究工作详细阐述了MSR的背景、历史和前景，但现有的研究工作并未系统地呈现MSR领域中最有影响力的作者、机构、国家以及最受欢迎的研究主题和主题变迁等领域知识.因此，结合已有的经典的文献分析框架和算法来分析MSR相关文献，并呈现一些MSR基本领域知识.为了实现MSR文献分析，建立了一个包含3个组件的MSR文献分析框架（MSRpublicationanalysisframework，MSR-PAF)，这3个组件分别被用来创建数据集、执行基础文献分析、实施合作模式分析.基础文献分析结果表明：最高产的作者、机构、国家/地区分别是AhmedE.Hassan，UniversityofVictoria和美国，最有影响力作者是AhmedE.Hassan，最频繁的关键词是softwaremaintenance.合作模式分析的结果显示AbramHindle是MSR领域最活跃的作者，opensourceproject和softwaremaintenance是最流行的研究主题.

英文摘要：

Software updates and evolves continuously over time,software repositories accumulatemassive data.H o w to effectively collect,organize,and m a k e use of these data has become a keyproblem in software engineering.Mining Software Repositories(M S R)aim to mine useful knowledgecontained in complex and diversified data to improve the quality and productivity of software.Although some studies have elaborately summarized the background,history,and prospects aboutM S R,existing studies do not present systematically the most influential author,institution,andcountry as well as the major research topics and their transitions over time.Therefore,this studycombines the existing classical publication analysis frameworks and algorithms to analyze therelationships a m o n g publications related to M S R,and presents some important domain knowledge forresearchers in detail.T o effectively tackle this task,w e construct a framework n a m e d M S RPublication Analysis F r a m e w o r k(M S R-P A F).M S R-P A F consists of three components which can beused to create a dataset for the study,conduct a bibliography analysis,and implement a collaborationpattern analysis?respectively.T h e results of the bibliography analysis s h o w that the most productiveauthor,institution,and country are A h m e d E.H a s s a n,University of Victoria,and U S A,respectively.T h e most frequent keyword is software maintenance and the most influential author isA b r a m Hindle.In addition,the results of the collaboration pattern analysis s h o w that A b r a m Hindleis the most active author,and open source project and software maintenance are the most popularresearch topics.