2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)最新文献_第2页

Studying Permission Related Issues in Android Wearable Apps 研究Android可穿戴应用的权限相关问题

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00043

Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab

{"title":"Studying Permission Related Issues in Android Wearable Apps","authors":"Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab","doi":"10.1109/ICSME.2018.00043","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00043","url":null,"abstract":"Wearable devices are becoming increasingly popular; these devices host software that is known as wearable apps. Wearable apps could be packaged alongside handheld apps, hence they must be installed on the accompanying device (e.g., smartphone). This device dependency causes both apps to be also tightly coupled. Most importantly, when a wearable app is distributed by embedded it in a handheld app, Android Wear platform requires to include the wearable permission also in the handheld app which is error-prone. In this paper, we defined two permission issues related to wearable apps-namely permission mismatches and superfluous features. To study the permission related issues, we propose a technique to detect permission issues in wearable apps. We implement our technique in a tool called Permlyzer, which automatically detects these permission issues from an app's APK. We run Permlyzer on a dataset of 2,724 apps that have embedded wearable version and 339 standalone wearable app. Our result shows that I) 6% of wearable apps that request permissions are suffering from the permission mismatching problem; II) out of the apps that requires underlying features, 523 (52.4%) of handheld apps and 66 (80.5%) of standalone wearable apps have at least one superfluous feature; III) all the studied apps missed a declaration of underlying features for one or more of their permissions, which shows that developers may not know the mapping between the permissions they request and the hardware features. Additionally, in a survey of wearable app developers, all of the developers that responded mention that having a tool like Permlyzer, that detect permission related issues would be useful to them. Our results contribute to the understanding of permissions related issues in wearable apps, in particular, proposing a technique to detect permission mismatch and superfluous features.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"10 1","pages":"345-356"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73156904","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: 8

Clone-Based Variability Management in the Android Ecosystem Android生态系统中基于克隆的可变性管理

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00072

John Businge, Moses Openja, Sarah Nadi, Engineer Bainomugisha, T. Berger

{"title":"Clone-Based Variability Management in the Android Ecosystem","authors":"John Businge, Moses Openja, Sarah Nadi, Engineer Bainomugisha, T. Berger","doi":"10.1109/ICSME.2018.00072","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00072","url":null,"abstract":"Mobile app developers often need to create variants to account for different customer segments, payment models or functionalities. A common strategy is to clone (or fork) an existing app and then adapt it to new requirements. This form of reuse has been enhanced with the advent of social-coding platforms such as Github, cultivating a more systematic reuse. Different facilities, such as forks, pull requests, and cross-project traceability support clone-based development. Unfortunately, even though, many apps are known to be maintained in many variants, little is known about how practitioners manage variants of mobile apps. We present a study that explores clone-based reuse practices for open-source Android apps. We identified and analyzed families of apps that are maintained together and that exist both on the official app store (Google Play) as well as on Github, allowing us to analyze reuse practices in depth. We mined both repositories to identify app families and to study their characteristics, including their variabilities as well as code-propagation practices and maintainer relationships. We found that, indeed, app families exist and that forked app variants fall into the following categories: (i) re-branding and simple customizations, (ii) feature extension, (iii) supporting of the mainline app, and (iv) implementation of different, but related features. Other notable characteristic of the app families we discovered include: (i) 72.7% of the app families did not perform any form of code propagation, and (ii) 74% of the app families we studied do not have common maintainers.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"269 1","pages":"625-634"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74363562","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: 39

Understanding, Debugging, and Optimizing Distributed Software Builds: A Design Study 理解、调试和优化分布式软件构建:设计研究

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00060

Carlene Lebeuf, Elena Voyloshnikova, Kim Herzig, M. Storey

{"title":"Understanding, Debugging, and Optimizing Distributed Software Builds: A Design Study","authors":"Carlene Lebeuf, Elena Voyloshnikova, Kim Herzig, M. Storey","doi":"10.1109/ICSME.2018.00060","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00060","url":null,"abstract":"Today's build systems distribute build tasks across thousands of machines, reusing cached build results whenever possible. But despite the sophisticated nature of modern build tools, the core software architecture of the system under build defines the lower bound for how fast the system can compile. Long, consecutive build chains or slow individual build targets can introduce expensive compilation bottlenecks. Further, the growing complexity of both build systems and software systems under build makes comprehending, debugging, and optimizing build performance a significant challenge faced by many software engineers. We present a design study to describe and help mitigate the cognitive challenges faced by software engineers that use modern, cached, and distributed build systems. We characterize the performance analysis process and identify the main stakeholders involved, key usage scenarios, and elicit important requirements for tool support. We propose an interactive BuildExplorer tool for understanding, optimizing, and debugging cached and distributed build sessions, justifying our design decisions among alternative solutions. Our novel solution is evaluated through usage scenario walkthroughs, iterative deployments of the tool in the field, and a user study.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"25 1","pages":"496-507"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82040765","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: 12

Detecting and Predicting Evolution in Spreadsheets - A Case Study in an Energy Network Company 检测和预测电子表格的演变-一个能源网络公司的案例研究

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00074

Bas Jansen, F. Hermans, E. Tazelaar

{"title":"Detecting and Predicting Evolution in Spreadsheets - A Case Study in an Energy Network Company","authors":"Bas Jansen, F. Hermans, E. Tazelaar","doi":"10.1109/ICSME.2018.00074","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00074","url":null,"abstract":"The use of spreadsheets in industry is widespread and the information that they provide is often used for decisions. Research has shown that spreadsheets are error-prone, leading to the risk that decisions are made on incorrect information. Software Evolution is a well-researched topic and the results have proven to support developers in creating better software. Could this also be applied to spreadsheets? Unfortunately, the research on spreadsheet evolution is still limited. Therefore, the aim of this paper is to obtain a better understanding of how spreadsheets evolve over time and if the results of such a study provide similar benefits for spreadsheets as it does for source code. In this study, we cooperated with Alliander, a large energy network company in the Netherlands. We conducted two case studies on two different set of spreadsheets that both were already maintained for a period of three years. To have a better understanding of the spreadsheets itself and the context in which they evolved, we also interviewed the creators of the spreadsheets. We focus on the changes that are made over time in the formulas. Changes in these formulas change the behavior of the spreadsheet and could possibly introduce errors. To effectively analyze these changes we developed an algorithm that is able to detect and visualize these changes. Results indicate that studying the evolution of a spreadsheet helps to identify areas in the spreadsheet that are error-prone, likely to change or that could benefit from refactoring. Furthermore, by analyzing the frequency in which formulas are changed from version to version, it is possible to predict which formulas need to be changed when a new version of the spreadsheet is created.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"123 1","pages":"645-654"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79669520","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: 1

Predicting Software Maintainability in Object-Oriented Systems Using Ensemble Techniques 使用集成技术预测面向对象系统中的软件可维护性

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00088

Hadeel Alsolai

{"title":"Predicting Software Maintainability in Object-Oriented Systems Using Ensemble Techniques","authors":"Hadeel Alsolai","doi":"10.1109/ICSME.2018.00088","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00088","url":null,"abstract":"Prediction of the maintainability of classes in object-oriented systems is a significant factor for software success, however it is a challenging task to achieve. To date, several machine learning models have been applied with variable results and no clear indication of which techniques are more appropriate. With the goal of achieving more consistent results, this paper presents the first set of results in an extensive empirical study designed to evaluate the capability of bagging models to increase accuracy prediction over individual models. The study compares two major machine learning based approaches for predicting software maintainability: individual models (regression tree, multilayer perceptron, k-nearest neighbors and m5rules), and an ensemble model (bagging) that are applied to the QUES data set. The results obtained from this study indicate that k-nearest neighbors model outperformed all other individual models. The bagging ensemble model improved accuracy prediction significantly over almost all individual models, and the bagging ensemble models with k-nearest neighbors as a base model achieved superior accurate prediction. This paper also provides a description of the planned programme of research which aims to investigate the performance over various datasets of advanced (ensemble-based) machine learning models.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"136 1","pages":"716-721"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86099260","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: 8

Improving API Caveats Accessibility by Mining API Caveats Knowledge Graph 通过挖掘API警告知识图提高API警告的可访问性

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00028

HongWei Li, Sirui Li, Jiamou Sun, Zhenchang Xing, Xin Peng, Mingwei Liu, Xuejiao Zhao

{"title":"Improving API Caveats Accessibility by Mining API Caveats Knowledge Graph","authors":"HongWei Li, Sirui Li, Jiamou Sun, Zhenchang Xing, Xin Peng, Mingwei Liu, Xuejiao Zhao","doi":"10.1109/ICSME.2018.00028","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00028","url":null,"abstract":"API documentation provides important knowledge about the functionality and usage of APIs. In this paper, we focus on API caveats that developers should be aware of in order to avoid unintended use of an API. Our formative study of Stack Overflow questions suggests that API caveats are often scattered in multiple API documents, and are buried in lengthy textual descriptions. These characteristics make the API caveats less discoverable. When developers fail to notice API caveats, it is very likely to cause some unexpected programming errors. In this paper, we propose natural language processing(NLP) techniques to extract ten subcategories of API caveat sentences from API documentation and link these sentences to API entities in an API caveats knowledge graph. The API caveats knowledge graph can support information retrieval based or entity-centric search of API caveats. As a proof-of-concept, we construct an API caveats knowledge graph for Android APIs from the API documentation on the Android Developers website. We study the abundance of different subcategories of API caveats and use a sampling method to manually evaluate the quality of the API caveats knowledge graph. We also conduct a user study to validate whether and how the API caveats knowledge graph may improve the accessibility of API caveats in API documentation.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"69 1","pages":"183-193"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91187619","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: 78

DiffViz: A Diff Algorithm Independent Visualization Tool for Edit Scripts DiffViz:一个独立于Diff算法的编辑脚本可视化工具

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00081

Veit Frick, Christoph Wedenig, M. Pinzger

引用次数: 4

A Large-Scale Empirical Study on Linguistic Antipatterns Affecting APIs 影响api的语言反模式的大规模实证研究

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00012

Emad Aghajani, Csaba Nagy, G. Bavota, Michele Lanza

{"title":"A Large-Scale Empirical Study on Linguistic Antipatterns Affecting APIs","authors":"Emad Aghajani, Csaba Nagy, G. Bavota, Michele Lanza","doi":"10.1109/ICSME.2018.00012","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00012","url":null,"abstract":"The concept of monolithic stand-alone software systems developed completely from scratch has become obsolete, as modern systems nowadays leverage the abundant presence of Application Programming Interfaces (APIs) developed by third parties, which leads on the one hand to accelerated development, but on the other hand introduces potentially fragile dependencies on external resources. In this context, the design of any API strongly influences how developers write code utilizing it. A wrong design decision like a poorly chosen method name can lead to a steeper learning curve, due to misunderstandings, misuse and eventually bug-prone code in the client projects using the API. It is not unfrequent to find APIs with poorly expressive or misleading names, possibly lacking appropriate documentation. Such issues can manifest in what have been defined in the literature as Linguistic Antipatterns (LAs), i.e., inconsistencies among the naming, documentation, and implementation of a code entity. While previous studies showed the relevance of LAs for software developers, their impact on (developers of) client projects using APIs affected by LAs has not been investigated. This paper fills this gap by presenting a large-scale study conducted on 1.6k releases of popular Maven libraries, 14k open-source Java projects using these libraries, and 4.4k questions related to the investigated APIs asked on Stack Overflow. In particular, we investigate whether developers of client projects have higher chances of introducing bugs when using APIs affected by LAs and if these trigger more questions on Stack Overflow as compared to non-affected APIs.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"95 1 1","pages":"25-35"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80289466","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: 14

A Reflexive and Automated Approach to Syntactic Pattern Matching in Code Transformations 代码转换中语法模式匹配的自反和自动化方法

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00052

J. Lecerf, J. Brant, T. Goubier, Stéphane Ducasse

{"title":"A Reflexive and Automated Approach to Syntactic Pattern Matching in Code Transformations","authors":"J. Lecerf, J. Brant, T. Goubier, Stéphane Ducasse","doi":"10.1109/ICSME.2018.00052","DOIUrl":"https://doi.org/10.1109/ICSME.2018.00052","url":null,"abstract":"Empowering software engineers often requires to let them write code transformations. However existing automated or tool-supported approaches force developers to have a detailed knowledge of the internal representation of the underlying tool. While this knowledge is time consuming to master, the syntax of the language, on the other hand, is already well known to developers and can serve as a strong foundation for pattern matching. Pattern languages with metavariables (that is variables holding abstract syntax subtrees once the pattern has been matched) have been used to help programmers define program transformations at the language syntax level. The question raised is then the engineering cost of metavariable support. Our contribution is to show that, with a GLR parser, such patterns with metavariables can be supported by using a form of runtime reflexivity on the parser internal structures. This approach allows one to directly implement such patterns on any parser generated by a parser generation framework, without asking the pattern writer to learn the AST structure and node types. As a use case for that approach we describe the implementation built on top of the SmaCC (Smalltalk Compiler Compiler) GLR parser generator framework. This approach has been used in production for source code transformations on a large scale. We will express perspectives to adapt this approach to other types of parsing technologies.","PeriodicalId":6572,"journal":{"name":"2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"12 1","pages":"426-436"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87843228","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: 3

GemChecker: Reporting on the Status of Gems in Ruby on Rails Projects GemChecker:报告Gems在Ruby on Rails项目中的状态

2018 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2018-09-01 DOI: 10.1109/ICSME.2018.00080

Jamie Cleare, Claudia Iacob

引用次数: 3