2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)最新文献_第3页

Raising MSR Researchers: An Experience Report on Teaching a Graduate Seminar Course in Mining Software Repositories (MSR) 培养MSR研究人员:《挖掘软件库》研究生研讨课教学经验报告

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901780

A. Hassan

引用次数: 6

An Empirical Study on the Practice of Maintaining Object-Relational Mapping Code in Java Systems Java系统中维护对象关系映射代码实践的实证研究

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901758

T. Chen, Weiyi Shang, Jinqiu Yang, A. Hassan, Michael W. Godfrey, Mohamed N. Nasser, P. Flora

{"title":"An Empirical Study on the Practice of Maintaining Object-Relational Mapping Code in Java Systems","authors":"T. Chen, Weiyi Shang, Jinqiu Yang, A. Hassan, Michael W. Godfrey, Mohamed N. Nasser, P. Flora","doi":"10.1145/2901739.2901758","DOIUrl":"https://doi.org/10.1145/2901739.2901758","url":null,"abstract":"Databases have become one of the most important components in modern software systems. For example, web services, cloud computing systems, and online transaction processing systems all rely heavily on databases. To abstract the complexity of accessing a database, developers make use of Object-Relational Mapping (ORM) frameworks. ORM frameworks provide an abstraction layer between the application logic and the underlying database. Such abstraction layer automatically maps objects in Object-Oriented Languages to database records, which significantly reduces the amount of boilerplate code that needs to be written. Despite the advantages of using ORM frameworks, we observe several difficulties in maintaining ORM code (i.e., code that makes use of ORM frameworks) when cooperating with our industrial partner. After conducting studies on other open source systems, we find that such difficulties are common in other Java systems. Our study finds that i) ORM cannot completely encapsulate database accesses in objects or abstract the underlying database technology, thus may cause ORM code changes more scattered; ii) ORM code changes are more frequent than regular code, but there is a lack of tools that help developers verify ORM code at compilation time; iii) we find that changes to ORM code are more commonly due to performance or security reasons; however, traditional static code analyzers need to be extended to capture the peculiarities of ORM code in order to detect such problems. Our study highlights the hidden maintenance costs of using ORM frameworks, and provides some initial insights about potential approaches to help maintain ORM code. Future studies should carefully examine ORM code, especially given the rising use of ORM in modern software systems.","PeriodicalId":6621,"journal":{"name":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","volume":"120 1","pages":"165-176"},"PeriodicalIF":0.0,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87813392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Grouping Android Tag Synonyms on Stack Overflow 在堆栈溢出上分组Android标签同义词

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901750

S. Beyer, M. Pinzger

引用次数: 23

On Mining Crowd-Based Speech Documentation 基于群体的语音文档挖掘

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901771

P. Moslehi, Bram Adams, J. Rilling

{"title":"On Mining Crowd-Based Speech Documentation","authors":"P. Moslehi, Bram Adams, J. Rilling","doi":"10.1145/2901739.2901771","DOIUrl":"https://doi.org/10.1145/2901739.2901771","url":null,"abstract":"Despite the globalization of software development, relevant documentation of a project, such as requirements and design documents, often still is missing, incomplete or outdated. However, parts of that documentation can be found outside the project, where it is fragmented across hundreds of textual web documents like blog posts, email messages and forum posts, as well as multimedia documents such as screencasts and podcasts. Since dissecting and filtering multimedia information based on its relevancy to a given project is an inherently difficult task, it is necessary to provide an automated approach for mining this crowd-based documentation. In this paper, we are interested in mining the speech part of YouTube screencasts, since this part typically contains the rationale and insights of a screencast. We introduce a methodology that transcribes and analyzes the transcribed text using various Information Extraction (IE) techniques, and present a case study to illustrate the applicability of our mining methodology. In this case study, we extract use case scenarios from WordPress tutorial videos and show how their content can supplement existing documentation. We then evaluate how well existing rankings of video content are able to pinpoint the most relevant videos for a given scenario.","PeriodicalId":6621,"journal":{"name":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","volume":"6 1","pages":"259-268"},"PeriodicalIF":0.0,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90093468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Cold-Start Software Analytics 冷启动软件分析

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901740

Jin Guo, Mona Rahimi, J. Cleland-Huang, A. Rasin, J. Hayes, Michael Vierhauser

{"title":"Cold-Start Software Analytics","authors":"Jin Guo, Mona Rahimi, J. Cleland-Huang, A. Rasin, J. Hayes, Michael Vierhauser","doi":"10.1145/2901739.2901740","DOIUrl":"https://doi.org/10.1145/2901739.2901740","url":null,"abstract":"Software project artifacts such as source code, requirements, and change logs represent a gold-mine of actionable information. As a result, software analytic solutions have been developed to mine repositories and answer questions such as \"who is the expert?,'' \"which classes are fault prone?,'' or even \"who are the domain experts for these fault-prone classes?'' Analytics often require training and configuring in order to maximize performance within the context of each project. A cold-start problem exists when a function is applied within a project context without first configuring the analytic functions on project-specific data. This scenario exists because of the non-trivial effort necessary to instrument a project environment with candidate tools and algorithms and to empirically evaluate alternate configurations. We address the cold-start problem by comparatively evaluating `best-of-breed' and `profile-driven' solutions, both of which reuse known configurations in new project contexts. We describe and evaluate our approach against 20 project datasets for the three analytic areas of artifact connectivity, fault-prediction, and finding the expert, and show that the best-of-breed approach outperformed the profile-driven approach in all three areas; however, while it delivered acceptable results for artifact connectivity and find the expert, both techniques underperformed for cold-start fault prediction.","PeriodicalId":6621,"journal":{"name":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","volume":"8 1","pages":"142-153"},"PeriodicalIF":0.0,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82877783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

Findings from GitHub: Methods, Datasets and Limitations 来自GitHub的发现:方法、数据集和局限性

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901776

Valerio Cosentino, Javier Luis Cánovas Izquierdo, Jordi Cabot

引用次数: 84

Got Technical Debt? Surfacing Elusive Technical Debt in Issue Trackers 有技术债?问题跟踪器中难以捉摸的技术债务浮出水面

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901754

S. Bellomo, R. Nord, I. Ozkaya, Mary Popeck

引用次数: 31

Examining Programmer Practices for Locally Handling Exceptions 检查程序员本地处理异常的做法

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2903497

Mary Beth Kery, Claire Le Goues, B. Myers

引用次数: 30

Externalization of Software Behavior by the Mining of Norms 通过规范挖掘实现软件行为的外部化

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901744

Daniel Avery, K. Dam, Bastin Tony Roy Savarimuthu, A. Ghose

引用次数: 10

Characterization of the Xen Project Code Review Process: an Experience Report Xen项目代码审查过程的特征描述:经验报告

2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) Pub Date : 2016-05-14 DOI: 10.1145/2901739.2901778

Daniel Izquierdo-Cortazar, Lars Kurth, Jesus M. Gonzalez-Barahona, Santiago Dueñas, Nelson Sekitoleko

{"title":"Characterization of the Xen Project Code Review Process: an Experience Report","authors":"Daniel Izquierdo-Cortazar, Lars Kurth, Jesus M. Gonzalez-Barahona, Santiago Dueñas, Nelson Sekitoleko","doi":"10.1145/2901739.2901778","DOIUrl":"https://doi.org/10.1145/2901739.2901778","url":null,"abstract":"Many software development projects have introduced manda-tory code review for every change to the code. This meansthat the project needs to devote a significant effort to re-view all proposed changes, and that their merging into thecode base may get considerably delayed. Therefore, all thoseprojects need to understand how code review is working, andthe delays it is causing in time to merge.This is the case in the Xen project, which performs peerreview using mailing lists. During the first half of 2015, somepeople in the project observed a large and sustained increasein the number of messages related to code review, which hadstarted some years before. This observation led to concernson whether the code review process was having some trouble,and too large an impact on the overall development process.Those concerns were addressed with a quantitative study,which is presented in this paper. Based on the informa-tion in code review messages, some metrics were defined toinfer delays imposed by code review. The study producedquantitative data suitable for informed discussion, which theproject is using to understand its code review process, andto take decisions to improve it.","PeriodicalId":6621,"journal":{"name":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","volume":"242 1","pages":"386-390"},"PeriodicalIF":0.0,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75100079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4