{"title":"Integrating source code search into git client for effective retrieving of change history","authors":"Miwa Sasaki, S. Matsumoto, S. Kusumoto","doi":"10.1109/MAINT.2018.8323089","DOIUrl":"https://doi.org/10.1109/MAINT.2018.8323089","url":null,"abstract":"In order to achieve effective development management, it is important to manipulate and understand the change histories of source code in a repository. Although general version control systems provide change history manipulation, these systems are restricted to line-based and textual operations such as grep and diff. As such, these systems cannot follow the syntax/semantics of the source code. While various studies have examined querying and searching source codes, these methods cannot follow historical changes. The key concept of this paper is the integration of a source code search technique into Git commands that manipulate historical data in a repository. This paper presents MJgit, a prototype tool for achieving the above goal. In order to evaluate the proposed tool, we conducted a performance experiment using actual software repositories.","PeriodicalId":206704,"journal":{"name":"2018 IEEE Workshop on Mining and Analyzing Interaction Histories (MAINT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121769854","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}
{"title":"Privacy preservation in interaction history on integrated development environments","authors":"Takayuki Omori","doi":"10.1109/MAINT.2018.8323088","DOIUrl":"https://doi.org/10.1109/MAINT.2018.8323088","url":null,"abstract":"The interaction history in a software development environment allows us to analyze how developers change source code and how they use tools on the integrated development environment. Sharing the interaction history with tool providers increases the chances that developers obtain better tools. However, the interaction history sometimes contains privacy-sensitive information, which is an obstacle in collecting and using the interaction history. As an attempt to tackle this issue, this paper proposes a technique to replace sensitive text in a recorded interaction history. This paper describes the proposed technique, its current implementation, the results of a preliminary survey on how potential privacy-sensitive information exists in recorded interaction histories, and how privacy issues in sharing interaction histories can be ameliorated.","PeriodicalId":206704,"journal":{"name":"2018 IEEE Workshop on Mining and Analyzing Interaction Histories (MAINT)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133085828","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}
{"title":"CodeCAM: capturing programmer's reaction during coding session","authors":"Yusuke Shinyama, Yoshitaka Arahori, K. Gondow","doi":"10.1109/MAINT.2018.8323087","DOIUrl":"https://doi.org/10.1109/MAINT.2018.8323087","url":null,"abstract":"Software development has been plagued with the lack of documentation. We focus on ways to augment existing code comments with various external data sources such as a developer’s monologue or facial expression, allowing its user to track the accompanying non-textual information from a final source code. We propose CodeCAM, a framework to capture a developer’s reaction as well as its complete screenshot during a coding session as a video stream. A novel method is introduced to associate these streams with the corresponding portion of a source code. Our method does not require modifying existing tools or IDEs. We then applied facial expression analysis in attempt to capture a developer’s sentiment toward the source code during its development. Our preliminary experiments revealed that a developer tends to make a certain type of face (e.g. puzzled) when dealing with a difficult part of a program.","PeriodicalId":206704,"journal":{"name":"2018 IEEE Workshop on Mining and Analyzing Interaction Histories (MAINT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114958013","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}