Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00110
Qinkun Bao, Zihao Wang, J. Larus, Dinghao Wu
Side-channel vulnerabilities can leak sensitive information unconsciously. In this paper, we introduce the usage of Abacus. Abacus is a tool that can analyze secret-dependent control-flow and secret-dependent data-access leakages in binary programs. Unlike previous tools that can only identify leakages, it can also estimate the amount of leaked information for each leakage site. Severe vulnerabilities usually leak more information, allowing developers to triage the patching effort for side-channel vulnerabilities. This paper is to help users make use of Abacus and reproduce our previousresults. Abacus is available at https://github.com/s3team/Abacus.
{"title":"Abacus: A Tool for Precise Side-Channel Analysis","authors":"Qinkun Bao, Zihao Wang, J. Larus, Dinghao Wu","doi":"10.1109/ICSE-Companion52605.2021.00110","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00110","url":null,"abstract":"Side-channel vulnerabilities can leak sensitive information unconsciously. In this paper, we introduce the usage of Abacus. Abacus is a tool that can analyze secret-dependent control-flow and secret-dependent data-access leakages in binary programs. Unlike previous tools that can only identify leakages, it can also estimate the amount of leaked information for each leakage site. Severe vulnerabilities usually leak more information, allowing developers to triage the patching effort for side-channel vulnerabilities. This paper is to help users make use of Abacus and reproduce our previousresults. Abacus is available at https://github.com/s3team/Abacus.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133535353","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00082
Saad Ezzini, Sallam Abualhaija, Chetan Arora, M. Sabetzadeh, L. Briand
MAANA (in Arabic: "meaning") is a tool for performingdomain-specific handling of ambiguity in requirements. Given a requirements document as input, MAANA detectsthe requirements that are potentially ambiguous. The focus ofMAANA is on coordination ambiguity and prepositional-phraseattachment ambiguity; these are two common ambiguity typesthat have been studied in the requirements engineering literature. To detect ambiguity, MAANA utilizes structural patterns anda set of heuristics derived from a domain-specific corpus. Thegenerated analysis file after running the tool can be reviewed byrequirements analysts. Through combining different knowledgesources, MAANA highlights also the requirements that mightcontain unacknowledged ambiguity. That is when the analystsunderstand different interpretations for the same requirement, without explicitly discussing it with the other analysts due to timeconstraints. This artifact paper presents the details of MAANA. MAANA is associated with the ICSE 2021 technical papertitled "Using Domain-specific Corpora for Improved Handlingof Ambiguity in Requirements". The tool is publicly available onGitHub and Zenodo.
{"title":"MAANA: An Automated Tool for DoMAin-Specific HANdling of Ambiguity","authors":"Saad Ezzini, Sallam Abualhaija, Chetan Arora, M. Sabetzadeh, L. Briand","doi":"10.1109/ICSE-Companion52605.2021.00082","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00082","url":null,"abstract":"MAANA (in Arabic: \"meaning\") is a tool for performingdomain-specific handling of ambiguity in requirements. Given a requirements document as input, MAANA detectsthe requirements that are potentially ambiguous. The focus ofMAANA is on coordination ambiguity and prepositional-phraseattachment ambiguity; these are two common ambiguity typesthat have been studied in the requirements engineering literature. To detect ambiguity, MAANA utilizes structural patterns anda set of heuristics derived from a domain-specific corpus. Thegenerated analysis file after running the tool can be reviewed byrequirements analysts. Through combining different knowledgesources, MAANA highlights also the requirements that mightcontain unacknowledged ambiguity. That is when the analystsunderstand different interpretations for the same requirement, without explicitly discussing it with the other analysts due to timeconstraints. This artifact paper presents the details of MAANA. MAANA is associated with the ICSE 2021 technical papertitled \"Using Domain-specific Corpora for Improved Handlingof Ambiguity in Requirements\". The tool is publicly available onGitHub and Zenodo.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121825330","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00141
Utkarsh Desai, G. Sridhara, Srikanth G. Tamilselvam
Several studies have suggested that comments describing source code can help mitigate the burden of program understanding. However, software systems usually lack adequate comments and even when present, the comments may be obsolete or unhelpful. Researchers have addressed this issue by automatically generating comments from source code, a task referred to as Code Summarization. In this technical presentation, we take a deeper look at some of the significant, recent works in the area of code summarization and how each of them attempts to take a new perspective of this task including methods leveraging RNNs, Transformers, Graph neural networks and Reinforcement learning.
{"title":"Advances in Code Summarization","authors":"Utkarsh Desai, G. Sridhara, Srikanth G. Tamilselvam","doi":"10.1109/ICSE-Companion52605.2021.00141","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00141","url":null,"abstract":"Several studies have suggested that comments describing source code can help mitigate the burden of program understanding. However, software systems usually lack adequate comments and even when present, the comments may be obsolete or unhelpful. Researchers have addressed this issue by automatically generating comments from source code, a task referred to as Code Summarization. In this technical presentation, we take a deeper look at some of the significant, recent works in the area of code summarization and how each of them attempts to take a new perspective of this task including methods leveraging RNNs, Transformers, Graph neural networks and Reinforcement learning.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126119213","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00033
Christoph Mayr-Dorn, Stefan Bichler, Felix Keplinger, Alexander Egyed
Research as early as the 90s identified rigid, active process enactment as detrimental to engineers' flexibility. While software engineering processes thus are rarely "executable", engineers would benefit from guidance in safety critical domains where standards, regulations, and processes are often complicated. In this paper, we present the Passive Process Engine Environment P2E2 that tracks process progress in the background and automatically evaluates quality assurance constraints even in the presence of process deviations. Our approach is engineering artifact agnostic and comes with two exemplary tool connectors to Jira and Jama. Video at: https://youtu.be/kXwU_baVWoQ
{"title":"Guiding Engineers with the Passive Process Engine Environment","authors":"Christoph Mayr-Dorn, Stefan Bichler, Felix Keplinger, Alexander Egyed","doi":"10.1109/ICSE-Companion52605.2021.00033","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00033","url":null,"abstract":"Research as early as the 90s identified rigid, active process enactment as detrimental to engineers' flexibility. While software engineering processes thus are rarely \"executable\", engineers would benefit from guidance in safety critical domains where standards, regulations, and processes are often complicated. In this paper, we present the Passive Process Engine Environment P2E2 that tracks process progress in the background and automatically evaluates quality assurance constraints even in the presence of process deviations. Our approach is engineering artifact agnostic and comes with two exemplary tool connectors to Jira and Jama. Video at: https://youtu.be/kXwU_baVWoQ","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123475042","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00099
Giovani Guizzo, J. Petke, Federica Sarro, M. Harman
We present in this document the basic information needed to download, unpack, and then interpret the instructions we provide as requested in the ICSE 2021 Artifact Submission Guidelines. The artifact contains all the subject programs, scripts, tools, results, and a series of guidelines on how to use them. We aim at obtaining the badges of Available and Reusable. In order to do so, we have added all the components needed for the full execution of the experiments and analyses as we originally did during the writing of our paper, making it readily available. Furthermore, we have included instructions to the INSTALL file on how to add new programs to the experiments and analyses, making it reusable for the next researchers that intend to replicate or extend our experiments.
{"title":"Artifact for Enhancing Genetic Improvement of Software with Regression Test Selection","authors":"Giovani Guizzo, J. Petke, Federica Sarro, M. Harman","doi":"10.1109/ICSE-Companion52605.2021.00099","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00099","url":null,"abstract":"We present in this document the basic information needed to download, unpack, and then interpret the instructions we provide as requested in the ICSE 2021 Artifact Submission Guidelines. The artifact contains all the subject programs, scripts, tools, results, and a series of guidelines on how to use them. We aim at obtaining the badges of Available and Reusable. In order to do so, we have added all the components needed for the full execution of the experiments and analyses as we originally did during the writing of our paper, making it readily available. Furthermore, we have included instructions to the INSTALL file on how to add new programs to the experiments and analyses, making it reusable for the next researchers that intend to replicate or extend our experiments.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234235","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00063
Miguel Angel Álvarez-García
Mutation testing is becoming increasingly widely used to evaluate the quality of test suites, especially to test programs coded in widely used programming languages in the industry. Mutation tools have arisen to automate the technique in different languages, including C++. With the increasing use of this technique, new mutation operators modeling possible faults often emerge to improve its abilities and adapt the tools to new advanced features. In this work, mutation operators for the new C++ standards, defined in previous work, are implemented and applied to generate and execute mutants in real programs. With this study, the MuCPP mutation tool is updated with the inclusion of these new operators. In addition, the improvements suggested in the definition of those operators can be finally tested, and conclusions about their utility in practice can be drawn. The implemented operators are checked on a set of four C++ programs that use these advanced features. The results show significant differences with the previous manual analysis: the number of invalid mutants was reduced by 64%, and we found fewer alive mutants (88%) and an increase in dead mutants (31%). In summary, both the number of mutants incorrectly classified in the previous manual analysis and the number of mutants generated (particularly equivalent mutants) have been reduced.
{"title":"Automation and Evaluation of Mutation Testing for the New C++ Standards","authors":"Miguel Angel Álvarez-García","doi":"10.1109/ICSE-Companion52605.2021.00063","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00063","url":null,"abstract":"Mutation testing is becoming increasingly widely used to evaluate the quality of test suites, especially to test programs coded in widely used programming languages in the industry. Mutation tools have arisen to automate the technique in different languages, including C++. With the increasing use of this technique, new mutation operators modeling possible faults often emerge to improve its abilities and adapt the tools to new advanced features. In this work, mutation operators for the new C++ standards, defined in previous work, are implemented and applied to generate and execute mutants in real programs. With this study, the MuCPP mutation tool is updated with the inclusion of these new operators. In addition, the improvements suggested in the definition of those operators can be finally tested, and conclusions about their utility in practice can be drawn. The implemented operators are checked on a set of four C++ programs that use these advanced features. The results show significant differences with the previous manual analysis: the number of invalid mutants was reduced by 64%, and we found fewer alive mutants (88%) and an increase in dead mutants (31%). In summary, both the number of mutants incorrectly classified in the previous manual analysis and the number of mutants generated (particularly equivalent mutants) have been reduced.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517193","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00095
Rashmi Mudduluru, Jason Waataja, Suzanne Millstein, Michael D. Ernst
When a program is nondeterministic, it is difficult to test and debug. Nondeterminism occurs even in sequential programs iterating over the elements of a hash table. We have created a type system that expresses determinism specifications in a program. The key ideas in the type system are type qualifiers for nondeterminism, order-nondeterminism, and determinism; type well-formedness rules to restrict collection types; and enhancements to polymorphism that improve precision when analyzing collection operations. We implemented our type system for Java. Our type checker, the Determinism Checker, warns if a program is nondeterministic or verifies that the program is deterministic. In this paper, we explain how to obtain our tool and reproduce the results described inhttps://homes.cs.washington.edu/ mernst/pubs/determinismicse2021.pdf. Additionally, our tool and subject programs are available at https://zenodo.org/record/4536285#.YEaCxZNKiWw.
{"title":"Verifying Determinism in Sequential Programs","authors":"Rashmi Mudduluru, Jason Waataja, Suzanne Millstein, Michael D. Ernst","doi":"10.1109/ICSE-Companion52605.2021.00095","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00095","url":null,"abstract":"When a program is nondeterministic, it is difficult to test and debug. Nondeterminism occurs even in sequential programs iterating over the elements of a hash table. We have created a type system that expresses determinism specifications in a program. The key ideas in the type system are type qualifiers for nondeterminism, order-nondeterminism, and determinism; type well-formedness rules to restrict collection types; and enhancements to polymorphism that improve precision when analyzing collection operations. We implemented our type system for Java. Our type checker, the Determinism Checker, warns if a program is nondeterministic or verifies that the program is deterministic. In this paper, we explain how to obtain our tool and reproduce the results described inhttps://homes.cs.washington.edu/ mernst/pubs/determinismicse2021.pdf. Additionally, our tool and subject programs are available at https://zenodo.org/record/4536285#.YEaCxZNKiWw.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126235208","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00138
Gwendal Daniel, Jordi Cabot
Chatbots are becoming complex software artifacts that require a high-level of expertise in a variety of technical domains. This technical briefing will cover the software engineering challenges of developing high-quality chatbots. Attendees will be able to create their own bots leveraging the open source chatbot development platform Xatkit.
{"title":"The Software Challenges of Building Smart Chatbots","authors":"Gwendal Daniel, Jordi Cabot","doi":"10.1109/ICSE-Companion52605.2021.00138","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00138","url":null,"abstract":"Chatbots are becoming complex software artifacts that require a high-level of expertise in a variety of technical domains. This technical briefing will cover the software engineering challenges of developing high-quality chatbots. Attendees will be able to create their own bots leveraging the open source chatbot development platform Xatkit.","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114741019","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00029
Stan Swanborn, I. Malavolta
Software is becoming the core aspect in robotics development and it is growing in terms of complexity and size. However, roboticists and researchers are struggling in ensuring and even measuring the quality of their software with respect to run-time properties such as energy efficiency and performance. This paper presents Robot Runner, a tool for streamlining the execution of measurement-based experiments involving robotics software. The tool is able to automatically setup, start, resume, and fully replicate user-defined experiments. Thanks to its plugin-based architecture, the tool is fully independent of the number, type, and complexity of the used robots (both real and simulated). GitHub repository – https://github.com/S2-group/robot-runner Youtube video – https://youtu.be/le-SAXI2k1E
{"title":"Robot Runner: A Tool for Automatically Executing Experiments on Robotics Software","authors":"Stan Swanborn, I. Malavolta","doi":"10.1109/ICSE-Companion52605.2021.00029","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00029","url":null,"abstract":"Software is becoming the core aspect in robotics development and it is growing in terms of complexity and size. However, roboticists and researchers are struggling in ensuring and even measuring the quality of their software with respect to run-time properties such as energy efficiency and performance. This paper presents Robot Runner, a tool for streamlining the execution of measurement-based experiments involving robotics software. The tool is able to automatically setup, start, resume, and fully replicate user-defined experiments. Thanks to its plugin-based architecture, the tool is fully independent of the number, type, and complexity of the used robots (both real and simulated). GitHub repository – https://github.com/S2-group/robot-runner Youtube video – https://youtu.be/le-SAXI2k1E","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121497561","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}
Pub Date : 2021-05-01DOI: 10.1109/ICSE-Companion52605.2021.00043
Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li
Similar to code smells in source code, UI design has visual design smells that indicate violations of good UI design guidelines. UI design guidelines constitute design systems for a vast variety of products, platforms, and services. Following a design system, developers can avoid common design issues and pitfalls. However, a design system is often complex, involving various design dimensions and numerous UI components. Lack of concerns on GUI visual effect results in little support for detecting UI design smells that violate the design guidelines in a complex design system. In this paper, we propose an automated UI design smell detector named UIS-Hunter (UI design Smell Hunter). The tool is able to (i) automatically process UI screenshots or prototype files to detect UI design smells and generate reports, (ii) highlight the violated UI regions and list the material design guidelines that the found design smells violate, and (iii) present conformance and violation UI design examples to assist understanding. This tool consists of a Material Design guidelines gallery website and a tool website. The gallery website is a back-end knowledge base that attaches conformance and violation examples to abstract design guidelines and allows developers and designers to explore the multi-dimensional space of a complex design system in a more structured way. As a front-end application, the tool website takes a UI design as input, returns a detailed UI design smell report, and marks the violation regions (if any). Moreover, the tool website presents conformance and violation examples based on the gallery website. Demo URL: https://uishunter.net.cn/https://uishuntergallery.net.cn/Demo Video: https://youtu.be/7UZ0jtD_1gM
{"title":"UIS-Hunter: Detecting UI Design Smells in Android Apps","authors":"Bo Yang, Zhenchang Xing, Xin Xia, Chunyang Chen, Deheng Ye, Shanping Li","doi":"10.1109/ICSE-Companion52605.2021.00043","DOIUrl":"https://doi.org/10.1109/ICSE-Companion52605.2021.00043","url":null,"abstract":"Similar to code smells in source code, UI design has visual design smells that indicate violations of good UI design guidelines. UI design guidelines constitute design systems for a vast variety of products, platforms, and services. Following a design system, developers can avoid common design issues and pitfalls. However, a design system is often complex, involving various design dimensions and numerous UI components. Lack of concerns on GUI visual effect results in little support for detecting UI design smells that violate the design guidelines in a complex design system. In this paper, we propose an automated UI design smell detector named UIS-Hunter (UI design Smell Hunter). The tool is able to (i) automatically process UI screenshots or prototype files to detect UI design smells and generate reports, (ii) highlight the violated UI regions and list the material design guidelines that the found design smells violate, and (iii) present conformance and violation UI design examples to assist understanding. This tool consists of a Material Design guidelines gallery website and a tool website. The gallery website is a back-end knowledge base that attaches conformance and violation examples to abstract design guidelines and allows developers and designers to explore the multi-dimensional space of a complex design system in a more structured way. As a front-end application, the tool website takes a UI design as input, returns a detailed UI design smell report, and marks the violation regions (if any). Moreover, the tool website presents conformance and violation examples based on the gallery website. Demo URL: https://uishunter.net.cn/https://uishuntergallery.net.cn/Demo Video: https://youtu.be/7UZ0jtD_1gM","PeriodicalId":136929,"journal":{"name":"2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123737758","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}
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