2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)最新文献

A Precise Framework for Source-Level Control-Flow Analysis 源级控制流分析的精确框架

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.26226/morressier.613b54401459512fce6a7cef

Idriss Riouak, Christoph Reichenbach, G. Hedin, Niklas Fors

引用次数: 3

Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction 语义度量的形式化定义与自动生成:Bug预测的实证研究

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.1109/SCAM52516.2021.00020

Ting Hu, Ran Mo, Pu Xiong, Zengyang Li, Qiong Feng

{"title":"Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction","authors":"Ting Hu, Ran Mo, Pu Xiong, Zengyang Li, Qiong Feng","doi":"10.1109/SCAM52516.2021.00020","DOIUrl":"https://doi.org/10.1109/SCAM52516.2021.00020","url":null,"abstract":"Bug prediction is helpful for facilitating bug fixes and improving the efficiency in software development and maintenance. In the past decades, researchers have proposed numerous studies on bug prediction by using code metrics. However, most of the existing studies use syntax-based metrics, there exists little work building bug prediction models with semantic metrics from source code. In this paper, we propose a new model, semantic dependency graph (SDG), to represent semantic relationships among source files. Based on the SDG, we formally define a suite of semantic metrics reflecting semantic characteristics of a project’s source files. Moreover, we create a tool to automate the generation of our proposed SDG-based metrics. Through our experimental studies, we have demonstrated that the SDG-based semantic metrics are effective for building bug prediction models, and the SDG-based metrics outperform traditional syntactic metrics on bug prediction. In addition, models using the SDG-based metrics could achieve a better prediction performance than two state-of-the-art models that learn semantic features automatically. Finally, we have also presented that our approach is applicable in practice in terms of execution time and space.","PeriodicalId":380117,"journal":{"name":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133226919","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: 0

PYREF: Refactoring Detection in Python Projects Python项目中的重构检测

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.26226/morressier.613b54401459512fce6a7cd8

H. Atwi, B. Lin, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, G. Bavota, Michele Lanza

{"title":"PYREF: Refactoring Detection in Python Projects","authors":"H. Atwi, B. Lin, Nikolaos Tsantalis, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi, G. Bavota, Michele Lanza","doi":"10.26226/morressier.613b54401459512fce6a7cd8","DOIUrl":"https://doi.org/10.26226/morressier.613b54401459512fce6a7cd8","url":null,"abstract":"Refactoring, the process of improving the internal code structure of a software system without altering its external behavior, is widely applied during software development. Understanding how developers refactor source code can help gain better understanding of the software development process and the relationship between various versions of a system. Refactoring detection tools have been developed for many popular programming languages, such as Java (e.g., REFACTORINGMINER and REF-FINDER) but, quite surprisingly, this is not the case for Python, a widely used programming language.Inspired by REFACTORING MINER, we present PYREF, a tool that automatically detects method-level refactoring operations in Python projects. We evaluated PYREF against a manually built oracle and compared it with a PYTHON-ADAPTED REFACTOR-INGMINER, which converts Python program to Java and detects refactoring operations with REFACTORING MINER. Our results indicate that PYREF can achieve satisfactory precision and detect more refactorings than the current state-of-the-art.","PeriodicalId":380117,"journal":{"name":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","volume":"8 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133812523","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

Removing Redundant Statements in Amplified Test Cases 在放大的测试用例中删除冗余语句

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.26226/morressier.613b54401459512fce6a7cd0

Wessel Oosterbroek, C. Brandt, A. Zaidman

引用次数: 5

How does Migrating to Kotlin Impact the Run-time Efficiency of Android Apps? 迁移到Kotlin如何影响Android应用程序的运行时效率?

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.1109/SCAM52516.2021.00014

Michael Peters, Gian Luca Scoccia, I. Malavolta

{"title":"How does Migrating to Kotlin Impact the Run-time Efficiency of Android Apps?","authors":"Michael Peters, Gian Luca Scoccia, I. Malavolta","doi":"10.1109/SCAM52516.2021.00014","DOIUrl":"https://doi.org/10.1109/SCAM52516.2021.00014","url":null,"abstract":"Context. Android developers that developed Android apps using Java 6 for a long time got introduced to Kotlin as a new programming language in 2017. Kotlin contains many features that make it a popular alternative to Java in Android development, and together with the full support of Google and its creator, Jetbrains, it is becoming an essential part of Android development. Goal. This study aims to empirically assess the impact of the migration from Java to Kotlin on the run-time efficiency of Android apps. Methodology. To achieve this goal, we mine 7,972 GitHub repositories of Android apps and identified 451 apps containing Kotlin code. Then, by applying a crosslanguage clone detection technique, we detect 62 commits that represent a full migration to Kotlin, while keeping the app functionally equivalent. We sample 10 apps that fully migrated to Kotlin and conducted a measurement-based experiment to compare their Java and Kotlin versions with respect to seven runtime efficiency metrics. Results. Our study shows that migrating to Kotlin has a statistically significant impact on CPU usage, memory usage, and render duration of frames (though with a negligible effect size), whereas it does not impact significantly the number of calls to the garbage collector, the number of delayed frames, app size, and energy consumption. Conclusions. This study provides evidence that developers can migrate their Android apps to Kotlin and expect comparable efficiency at runtime. As a side product, this study also confirms that most open-source Android apps either fully migrated to Kotlin (>90% Kotlin code) or contain low portions of Kotlin code (<10%).","PeriodicalId":380117,"journal":{"name":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134205469","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: 7

Jicer: Simplifying Cooperative Android App Analysis Tasks Jicer:简化协作式Android应用分析任务

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.26226/morressier.613b54401459512fce6a7d01

Felix Pauck, H. Wehrheim

{"title":"Jicer: Simplifying Cooperative Android App Analysis Tasks","authors":"Felix Pauck, H. Wehrheim","doi":"10.26226/morressier.613b54401459512fce6a7d01","DOIUrl":"https://doi.org/10.26226/morressier.613b54401459512fce6a7d01","url":null,"abstract":"Slicing is an established technique for program inspection employed in use cases such as debugging, analysis, understanding and restructuring. Slicing techniques compute program parts which affect (or are affected by) certain slicing criteria. Slicing tools are most often specialized to a language and an application use case.In this paper, we present the tool Jicer, the only functional and available static slicer for Android apps. Jicer is a multi-purpose app slicer, configurable to different use cases by its ability to generate debuggable as well as analyzable and executable output. In its core, Jicer is a slicer for Java bytecode, tailored towards Android app specifics like the lack of a main method, extensive use of callbacks and inter-component communication.Jicer in particular supports security (data leak) analysis of Android apps through an interface allowing Jicer to work as one tool in a cooperative analysis. The role of Jicer in cooperative analyses is twofold: Jicer acts as an aid for other tools (via the reduction of the app size) and Jicer benefits from other tools (via the usage of analysis information in Jicer’s app dependence graph). The evaluation shows that Jicer is able to slice real-world apps thereby reducing app size about most ~55 to And importantly in a cooperative ~96%. analysis Jicer can increase the overall precision by significantly reducing the large number of false positives.","PeriodicalId":380117,"journal":{"name":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827085","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

Copyright 版权

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.1109/scam52516.2021.00003

引用次数: 0

Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow 利用无监督学习来总结Stack Overflow中讨论的api

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.1109/SCAM52516.2021.00026

AmirHossein Naghshzan, Latifa Guerrouj, Olga Baysal

{"title":"Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow","authors":"AmirHossein Naghshzan, Latifa Guerrouj, Olga Baysal","doi":"10.1109/SCAM52516.2021.00026","DOIUrl":"https://doi.org/10.1109/SCAM52516.2021.00026","url":null,"abstract":"Automated source code summarization is a task that generates summarized information about the purpose, usage, and–or implementation of methods and classes to support understanding of these code entities. Multiple approaches and techniques have been proposed for supervised and unsupervised learning in code summarization, however, they were mostly focused on generating a summary for a piece of code. In addition, very few works have leveraged unofficial documentation.This paper proposes an automatic and novel approach for summarizing Android API methods discussed in Stack Overflow that we consider as unofficial documentation in this research. Our approach takes the API method’s name as an input and generates a natural language summary based on Stack Overflow discussions of that API method. We have conducted a survey that involves 16 Android developers to evaluate the quality of our automatically generated summaries and compare them with the official Android documentation.Our results demonstrate that while developers find the official documentation more useful in general, the generated summaries are also competitive, in particular for offering implementation details, and can be used as a complementary source for guiding developers in software development and maintenance tasks.","PeriodicalId":380117,"journal":{"name":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122365961","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

QSES: Quasi-Static Executable Slices QSES:准静态可执行切片

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.1109/SCAM52516.2021.00033

Quentin Stiévenart, D. Binkley, Coen De Roover

{"title":"QSES: Quasi-Static Executable Slices","authors":"Quentin Stiévenart, D. Binkley, Coen De Roover","doi":"10.1109/SCAM52516.2021.00033","DOIUrl":"https://doi.org/10.1109/SCAM52516.2021.00033","url":null,"abstract":"Program slicing aims to reduce a program to a minimal form that produces the same output for a given slicing criterion. Program slicing approaches divide into static and dynamic approaches: whereas static approaches generate an over-approximation of the slice that is valid for all possible program inputs, dynamic approaches rely on executing the program and thus generate an under-approximation of the slice that is valid for only a subset of the inputs. An important limitation of static approaches is that they often do not generate an executable program, but rather identify only those program components upon which the slicing criterion depends (referred to as a closure slice). In order to overcome this limitation, we propose a novel approach that combines static and dynamic slicing. We rely on observation-based slicing, a dynamic approach, but protect all statements that have been identified as part of the static slice by the static slicer CodeSurfer. As a result, we obtain slices that cover at least the behavior of the static slice, but that can be compiled and executed. We evaluated this new approach on a set of 57 C programs and report our preliminary findings.","PeriodicalId":380117,"journal":{"name":"2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM)","volume":"54 62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120991009","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

Title Page III 第三页

2021 IEEE 21st International Working Conference on Source Code Analysis and Manipulation (SCAM) Pub Date : 2021-09-01 DOI: 10.1109/scam52516.2021.00002

引用次数: 0