2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)最新文献_第2页

Software Architecture Challenges for ML Systems 机器学习系统的软件架构挑战

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.26226/morressier.613b5419842293c031b5b647

Grace A. Lewis, I. Ozkaya, Xiwei Xu

引用次数: 21

Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues 理解量子软件工程的挑战——对Stack Exchange论坛和GitHub问题的实证研究

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.26226/morressier.613b5418842293c031b5b5dd

Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja

{"title":"Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues","authors":"Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja","doi":"10.26226/morressier.613b5418842293c031b5b5dd","DOIUrl":"https://doi.org/10.26226/morressier.613b5418842293c031b5b5dd","url":null,"abstract":"With the advance of quantum computing, quantum software becomes critical for exploring the full potential of quantum computing systems. Recently, quantum software engineering (QSE) becomes an emerging area attracting more and more attention. However, it is not clear what are the challenges and opportunities of quantum computing facing the software engineering community. This work aims to understand the QSE-related challenges perceived by developers. We perform an empirical study on Stack Exchange forums where developers post-QSE-related questions & answers and Github issue reports where developers raise QSE-related issues in practical quantum computing projects. Based on an existing taxonomy of question types on Stack Overflow, we first perform a qualitative analysis of the types of QSE-related questions asked on Stack Exchange forums. We then use automated topic modeling to uncover the topics in QSE-related Stack Exchange posts and GitHub issue reports. Our study highlights some particularly challenging areas of QSE that are different from that of traditional software engineering, such as explaining the theory behind quantum computing code, interpreting quantum program outputs, and bridging the knowledge gap between quantum computing and classical computing, as well as their associated opportunities.","PeriodicalId":205629,"journal":{"name":"2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"44 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":"133474384","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

You Look so Different: Finding Structural Clones and Subclones in Java Source Code 你看起来如此不同:在Java源代码中寻找结构克隆和子克隆

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.1109/ICSME52107.2021.00013

W. Amme, Thomas S. Heinze, André Schäfer

引用次数: 7

Is reputation on Stack Overflow always a good indicator for users' expertise? No! 在Stack Overflow上的声誉是否总是用户专业知识的良好指标?不!

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.1109/ICSME52107.2021.00067

Shaowei Wang, D. Germán, T. Chen, Yuan Tian, Ahmed E. Hassan

{"title":"Is reputation on Stack Overflow always a good indicator for users' expertise? No!","authors":"Shaowei Wang, D. Germán, T. Chen, Yuan Tian, Ahmed E. Hassan","doi":"10.1109/ICSME52107.2021.00067","DOIUrl":"https://doi.org/10.1109/ICSME52107.2021.00067","url":null,"abstract":"Stack Overflow (SO) users are recognized by reputation points. The reputation points are often a great avenue for users to build their career profile and demonstrate their expertise in some domains. Prior studies used users' reputation as a proxy to estimate their experience and expertise. However, there are various ways for a user to earn reputation points that do not require much expertise, such as asking high-quality questions. Therefore, it is important to understand the meaning of a high-reputation point and if the reputation could be used as a good indicator for users' expertise and experience on Stack Overflow. In this study, we explore how users earn reputation points on Stack Overflow by mining their reputation-related activities (e.g., asking questions, answering questions, and editing posts). We study the reputation-related activities of 93,053 high-reputation users that have at least 1,000 reputation points. We find that 1) 13.8% of the studied users earn their majority reputation points through asking questions rather than answering questions. 2) In general, most of the posted answers received no or very few reputation points with users gaining their points from a very small proportion of highly-voted answers. 12% of users' entire reputation comes from one single answer. We suggest future research and Stack Overflow introduce a new metric (i.e., vindex) to evaluate the expertise of a user.","PeriodicalId":205629,"journal":{"name":"2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"76 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":"117221520","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: 2

SmartGift: Learning to Generate Practical Inputs for Testing Smart Contracts SmartGift:学习生成测试智能合约的实际输入

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.1109/ICSME52107.2021.00009

Teng Zhou, Kui Liu, Li Li, Zhe Liu, Jacques Klein, Tegawendé F. Bissyandé

{"title":"SmartGift: Learning to Generate Practical Inputs for Testing Smart Contracts","authors":"Teng Zhou, Kui Liu, Li Li, Zhe Liu, Jacques Klein, Tegawendé F. Bissyandé","doi":"10.1109/ICSME52107.2021.00009","DOIUrl":"https://doi.org/10.1109/ICSME52107.2021.00009","url":null,"abstract":"With the boom of Initial Coin Offerings (ICO) in the financial markets, smart contracts have gained rapid popularity among consumers. Smart contract vulnerabilities however made them a prime target to malicious attacks that are leading to huge losses. The research community is thus applying various software engineering technologies to smart contracts to address them. In general, to detect vulnerabilities in smart contracts, mutation and fuzz based testing approaches have been widely studied and indeed achieved promising performance on benchmark datasets. Generating test inputs with mutation approaches essentially relies on the available test cases in a smart contract program. In our preliminary study, however, we observed that 56.4% of 218 identified open-source smart contract project repositories do not provide any test case for validation. Fuzzing test inputs leads to random values and lacks practical usefulness. Our work addresses this problem: we propose an approach, Smartgift, which generates practical inputs for testing smart contracts by learning from the transaction records of real-world smart contracts. Leveraging a collected set of over 60 thousand transaction records, Smartgift is able to generate relevant test inputs for ~77% smart contract functions, largely outperforming the traditional fuzzing approach (successful for only 60% functions). We further demonstrate the practicality of the test inputs by using them to replace the test inputs of the ContractFuzzer state of the art smart contract vulnerability detector: with inputs by Smartgift, ContractFuzzer can now detect 131 of the 154 vulnerabilities in its benchmark.","PeriodicalId":205629,"journal":{"name":"2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"3 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":"126622505","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: 6

A First Look at Accessibility Issues in Popular GitHub Projects 首先看看流行的GitHub项目中的可访问性问题

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.1109/ICSME52107.2021.00041

Tingting Bi, Xin Xia, D. Lo, A. Aleti

{"title":"A First Look at Accessibility Issues in Popular GitHub Projects","authors":"Tingting Bi, Xin Xia, D. Lo, A. Aleti","doi":"10.1109/ICSME52107.2021.00041","DOIUrl":"https://doi.org/10.1109/ICSME52107.2021.00041","url":null,"abstract":"Accessibility design elements allow people to access software products and services independent of their different abilities. However, accessibility is challenging to handle and whether accessibility is widely considered in software projects is unclear. In this work, we aim to understand if accessibility is a prevalent consideration in practice, what accessibility issues are discussed in GitHub projects, what potential reasons cause accessibility issues, and what solutions (e.g., tools and standards) are applied for addressing accessibility issues. In this work, we collect 11,820 accessibility issues and their threads discussed by developers in popular GitHub projects. We manually analyzed and grouped the collected accessibility issues into seven categories. The results of our study uncover that accessibility is widely discussed in general projects, and the potential reasons that cause accessibility issues are because developers are not aware of the importance of accessibility and they lack knowledge about accessibility concerns, standards, and existing tools. Our results and findings can enhance and improve developers' knowledge and awareness when they conduct accessibility-relevant design or incorporate accessibility elements into their projects.","PeriodicalId":205629,"journal":{"name":"2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"4 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":"128091983","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

Improving Traceability Link Recovery Using Fine-grained Requirements-to-Code Relations 使用细粒度的需求-代码关系改进可跟踪性链接恢复

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.1109/ICSME52107.2021.00008

Tobias Hey, Fei Chen, Sebastian Weigelt, W. Tichy

{"title":"Improving Traceability Link Recovery Using Fine-grained Requirements-to-Code Relations","authors":"Tobias Hey, Fei Chen, Sebastian Weigelt, W. Tichy","doi":"10.1109/ICSME52107.2021.00008","DOIUrl":"https://doi.org/10.1109/ICSME52107.2021.00008","url":null,"abstract":"Traceability information is a fundamental prerequisite for many essential software maintenance and evolution tasks, such as change impact and software reusability analyses. However, manually generating traceability information is costly and error-prone. Therefore, researchers have developed automated approaches that utilize textual similarities between artifacts to establish trace links. These approaches tend to achieve low precision at reasonable recall levels, as they are not able to bridge the semantic gap between high-level natural language requirements and code. We propose to overcome this limitation by leveraging fine-grained, method and sentence level, similarities between the artifacts for traceability link recovery. Our approach uses word embeddings and a Word Mover's Distance-based similarity to bridge the semantic gap. The fine-grained similarities are aggregated according to the artifacts structure and participate in a majority vote to retrieve coarse-grained, requirement-to-class, trace links. In a comprehensive empirical evaluation, we show that our approach is able to outperform state-of-the-art unsupervised traceability link recovery approaches. Additionally, we illustrate the benefits of fine-grained structural analyses to word embedding-based trace link generation.","PeriodicalId":205629,"journal":{"name":"2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"29 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":"126366669","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

Disambiguating Mentions of API Methods in Stack Overflow via Type Scoping 通过类型作用域消除堆栈溢出中API方法的歧义

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.1109/ICSME52107.2021.00080

K. Luong, Ferdian Thung, D. Lo

引用次数: 2

The Impact of Continuous Code Quality Assessment on Defects 持续代码质量评估对缺陷的影响

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.1109/ICSME52107.2021.00069

R. Pfeiffer

引用次数: 1

Energy Efficient Guidelines for iOS Core Location Framework iOS核心位置框架的能效指南

2021 IEEE International Conference on Software Maintenance and Evolution (ICSME) Pub Date : 2021-09-01 DOI: 10.26226/morressier.613b5418842293c031b5b5f0

A. A. Bangash, Daniil Tiganov, Karim Ali, Abram Hindle

{"title":"Energy Efficient Guidelines for iOS Core Location Framework","authors":"A. A. Bangash, Daniil Tiganov, Karim Ali, Abram Hindle","doi":"10.26226/morressier.613b5418842293c031b5b5f0","DOIUrl":"https://doi.org/10.26226/morressier.613b5418842293c031b5b5f0","url":null,"abstract":"Several types of apps require accessing user location, including map navigation, food ordering, and fitness tracking apps. To access user location, app developers use frameworks that the underlying platform provides to them. For the iOS platform, the Core Location framework enables developers to configure various services to obtain user location information. But how does a particular configuration affect the energy consumption of an app? The available Core Location framework documentation is insufficient to help developers reason about the tradeoff between choosing a particular configuration and energy consumption. In this paper, we present a set of guidelines that will help developers make an energy-efficient design choice while configuring the Core Location framework for their app. To achieve that, we have created microbenchmark configurations of the various services that the Core Location framework provides. We have then run several test-scenarios on these configurations to extract their energy profiles. To extract energy-efficient guidelines for developers, we have carefully examined those energy profile results. The guidelines show several configurations that not only reduce energy consumption but also access locations more frequently than other configurations. To evaluate those guidelines, we analyzed three real-world apps and a location service sample app provided by Apple. Our results show that the guidelines help reduce energy: 0.42% for a property search app, 10.59% for a weather app, 26.91% for a location utility app, and 11.37% for Apple's sample app. Additionally, our empirical evaluation shows that choosing an energy-hungry configuration can increase the energy consumption by up to a maximum of 23.97%. Our guidelines are effective on 3 real-world apps, and our methodology may be used to extract energy-efficient guidelines for frameworks other than the Core Location framework.","PeriodicalId":205629,"journal":{"name":"2021 IEEE International Conference on Software Maintenance and Evolution (ICSME)","volume":"36 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":"132608150","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: 5