2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)最新文献

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500+ Times Faster than Deep Learning: (A Case Study Exploring Faster Methods for Text Mining StackOverflow) 比深度学习快500多倍:(一个探索更快文本挖掘方法的案例研究StackOverflow)

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) Pub Date : 2018-02-14 DOI: 10.1145/3196398.3196424

Suvodeep Majumder, N. Balaji, Katie Brey, Wei Fu, T. Menzies

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引用次数: 61

Data-Driven Search-Based Software Engineering 基于数据驱动搜索的软件工程

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) Pub Date : 2018-01-30 DOI: 10.1145/3196398.3196442

V. Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, T. Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu

{"title":"Data-Driven Search-Based Software Engineering","authors":"V. Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, T. Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu","doi":"10.1145/3196398.3196442","DOIUrl":"https://doi.org/10.1145/3196398.3196442","url":null,"abstract":"This paper introduces Data-Driven Search-based Software Engineering (DSE), which combines insights from Mining Software Repositories (MSR) and Search-based Software Engineering (SBSE). While MSR formulates software engineering problems as data mining problems, SBSE reformulates Software Engineering (SE) problems as optimization problems and use meta-heuristic algorithms to solve them. Both MSR and SBSE share the common goal of providing insights to improve software engineering. The algorithms used in these two areas also have intrinsic relationships. We, therefore, argue that combining these two fields is useful for situations (a)~which require learning from a large data source or (b)~when optimizers need to know the lay of the land to find better solutions, faster. This paper aims to answer the following three questions: (1) What are the various topics addressed by DSE?, (2) What types of data are used by the researchers in this area?, and (3) What research approaches do researchers use? The paper briefly sets out to act as a practical guide to develop new DSE techniques and also to serve as a teaching resource. This paper also presents a resource (tiny.cc/data-se) for exploring DSE. The resource contains 89 artifacts which are related to DSE, divided into 13 groups such as requirements engineering, software product lines, software processes. All the materials in this repository have been used in recent software engineering papers; i.e., for all this material, there exist baseline results against which researchers can comparatively assess their new ideas.","PeriodicalId":6639,"journal":{"name":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","volume":"22 1","pages":"341-352"},"PeriodicalIF":0.0,"publicationDate":"2018-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73037279","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

The Android Update Problem: An Empirical Study Android更新问题:一项实证研究

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) Pub Date : 2018-01-08 DOI: 10.1145/3196398.3196434

M. Mahmoudi, Sarah Nadi

{"title":"The Android Update Problem: An Empirical Study","authors":"M. Mahmoudi, Sarah Nadi","doi":"10.1145/3196398.3196434","DOIUrl":"https://doi.org/10.1145/3196398.3196434","url":null,"abstract":"Many phone vendors use Android as their underlying OS, but often extend it to add new functionality and to make it compatible with their specific phones. When a new version of Android is released, phone vendors need to merge or re-apply their customizations and changes to the new release. This is a difficult and time-consuming process, which often leads to late adoption of new versions. In this paper, we perform an empirical study to understand the nature of changes that phone vendors make, versus changes made in the original development of Android. By investigating the overlap of different changes, we also determine the possibility of having automated support for merging them. We develop a publicly available tool chain, based on a combination of existing tools, to study such changes and their overlap. As a proxy case study, we analyze the changes in the popular community-based variant of Android, LineageOS, and its corresponding Android versions. We investigate and report the common types of changes that occur in practice. Our findings show that 83% of subsystems modified by LineageOS are also modified in the next release of Android. By taking the nature of overlapping changes into account, we assess the feasibility of having automated tool support to help phone vendors with the Android update problem. Our results show that 56% of the changes in LineageOS have the potential to be safely automated.","PeriodicalId":6639,"journal":{"name":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","volume":"1 1","pages":"220-230"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87367957","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: 20

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