Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops最新文献_第10页

Improving Engagement Assessment in Gameplay Testing Sessions using IoT Sensors 使用物联网传感器改善游戏玩法测试环节的粘性评估

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392249

Cristiano Politowski, Fábio Petrillo, Yann-Gaël Guéhéneuc

{"title":"Improving Engagement Assessment in Gameplay Testing Sessions using IoT Sensors","authors":"Cristiano Politowski, Fábio Petrillo, Yann-Gaël Guéhéneuc","doi":"10.1145/3387940.3392249","DOIUrl":"https://doi.org/10.1145/3387940.3392249","url":null,"abstract":"The video game industry is a multimillionaire market, which makes solo indie developers millionaire in one day. However, success in the game industry is not a coincidence. Video game development is an unusual kind of software that mix multidisciplinary teams: software engineers, designers, and artists. Also, for a video game to become popular, it must be fun and polished: exhaustively well tested. Testing in video game development encompasses different types of tests at different moments of the development process. In particular, assessing the players' gameplay in a test session can drive the development drastically. The designers analyze the players' actions and behaviour in the game. They can then decide if a feature/level requires rework. They often spend many man/work hours reworking a feature just because it is not engaging. As the designers (usually) assess the gameplay session by hand, they cannot be sure that a specific feature is engaging enough. They would benefit from meaningful data that would help them better assess the gameplay and take the decision to keep, rework, or remove a feature. Consequently, we describe the need for an IoT framework to assess players' gameplay using IoT sensors together with game devices which will produce a rich output for the game designers.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130956227","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

Research Idea on How Language and Symbols (Semantics and Semiotics) Affect Emotions of Software Engineers 语言和符号(语义学和符号学)如何影响软件工程师情绪的研究思路

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392232

Mahesh Venkataraman, Kishore P. Durg

{"title":"Research Idea on How Language and Symbols (Semantics and Semiotics) Affect Emotions of Software Engineers","authors":"Mahesh Venkataraman, Kishore P. Durg","doi":"10.1145/3387940.3392232","DOIUrl":"https://doi.org/10.1145/3387940.3392232","url":null,"abstract":"This is essentially a 'call for research' and collaboration between industry and academia to improve the motivation and performance of software engineers through use of language, words and symbols. How languages and symbols shape the way people think, feel and behave has been a topic of wide research. Words have powerful association with perception and cognition and throughout history, language has been used as a medium for influencing minds and for mass propaganda. While this is widely understood in politics, psychology and sociology, very little research has been to study the implicit and explicit impact of words, phrases and language on the way software engineers think, feel, behave and perform. While software engineering could be seen as a science that lends itself to a formal process and methods, it can also be seen as a craft and art which needs imagination and creativity which in turn are influenced by emotions. We propose some hypotheses, research questions and ideas to trigger formal studies of deeper connections between language/ symbols and software engineers' performance. We also draw inspiration from a wide body of research already conducted in this area which have influenced the field of psychology, sociology and mass communication. This is essentially a 'call for research' and collaboration between industry and academia to improve the motivation and performance of software engineers through use of language, words and symbols.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125582265","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

Interactive Patch Generation and Suggestion 交互式补丁生成和建议

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392179

Xiang Gao, Abhik Roychoudhury

引用次数: 5

DockerKG

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392161

Jiahong Zhou, Wei Chen, Chang Liu, Jiaxin Zhu, Guoquan Wu, Jun Wei

引用次数: 0

Automating Continuous Planning in SAFe 在SAFe中自动化连续计划

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391536

Darius Foo, Jonah Dela Cruz, S. Sekar, Asankhaya Sharma

引用次数: 1

Mining Hypernyms Semantic Relations from Stack Overflow 从堆栈溢出挖掘中词语义关系

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392160

L. Tóth, Balázs Nagy, T. Gyimóthy, László Vidács

{"title":"Mining Hypernyms Semantic Relations from Stack Overflow","authors":"L. Tóth, Balázs Nagy, T. Gyimóthy, László Vidács","doi":"10.1145/3387940.3392160","DOIUrl":"https://doi.org/10.1145/3387940.3392160","url":null,"abstract":"Communication between a software development team and business partners is often a challenging task due to the different context of terms used in the information exchange. The various contexts in which the concepts are defined or used create slightly different semantic fields that can evolve into information and communication silos. Due to the silo effect, the necessary information is often inadequately forwarded to developers resulting in poorly specified software requirements or misinterpreted user feedback. Communication difficulties can be reduced by introducing a mapping between the semantic fields of the parties involved in the communication based on the commonly used terminologies. Our research aims to obtain a suitable semantic database in the form of a semantic network built from the Stack Overflow corpus, which can be considered to encompass the common tacit knowledge of the software development community. Terminologies used in the business world can be assigned to our semantic network, so software developers do not miss features that are not specific to their world but relevant to their clients. We present an initial experiment of mining semantic network from Stack Overflow and provide insights of the newly captured relations compared to WordNet.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122521792","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

OffSide 越位

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.5040/9781350040809.00000002

Jón Arnar Briem, Jordi Smit, Hendrig Sellik, Pavel Rapoport, Georgios Gousios, M. Aniche

引用次数: 16

On the Engineering of IoT-Intensive Digital Twin Software Systems 物联网密集型数字孪生软件系统工程研究

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392195

Luis F. Rivera, H. Müller, Norha M. Villegas, Gabriel Tamura, Miguel A. Jiménez

{"title":"On the Engineering of IoT-Intensive Digital Twin Software Systems","authors":"Luis F. Rivera, H. Müller, Norha M. Villegas, Gabriel Tamura, Miguel A. Jiménez","doi":"10.1145/3387940.3392195","DOIUrl":"https://doi.org/10.1145/3387940.3392195","url":null,"abstract":"Digital Twins (DT) are software systems representing different aspects of a physical or conceptual counterpart---the real twin, which is instrumented with several sensors or computing devices that generate, consume and transfer data to its DT with different purposes. In other words, DT systems are, to a large extent, IoT-intensive systems. Indeed, by exploiting and managing IoT data, artificial intelligence, and big data and simulation capabilities, DTs have emerged as a promising approach to manage the virtual manifestation of real-world entities throughout their entire lifecycle. Their proliferation will contribute to realizing the long-craved convergence of virtual and physical spaces to augment things and human capabilities. In this context, despite the proposal of noteworthy contributions, we argue that DTs have not been sufficiently investigated from a software engineering perspective. To address this, in this paper we propose GEMINIS, an architectural reference model that adopts self-adaptation, control, and model-driven engineering techniques to specify the structural and behavioural aspects of DTs and enable the evolution of their internal models. Moreover, we introduce an approach for engineering IoT-intensive Digital Twin Software Systems (DTSS) using GEMINIS' capabilities to deal with uncertain conditions that are inherent to the nature of mirrored physical environments and that might compromise the fidelity of a DT. With GEMINIS and the proposed approach, we aim to advance the engineering of DTSS as well as IoT and cyber-physical systems by providing practitioners with guidelines to model and specify inherent structural and behavioural characteristics of DTs, addressing common design concerns.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126801327","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

Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification 非故意犯罪者攻击向量识别仿真游戏平台

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391475

M. Macák, Agata Kruzikova, Lukas Daubner, Barbora Buhnova

{"title":"Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification","authors":"M. Macák, Agata Kruzikova, Lukas Daubner, Barbora Buhnova","doi":"10.1145/3387940.3391475","DOIUrl":"https://doi.org/10.1145/3387940.3391475","url":null,"abstract":"Cyber-security protection of critical systems is one of the major challenges of today. Although the attacks typically originate from attackers with malicious intent, a substantial portion of attack vectors is enabled by unintentional perpetrators, i.e., insiders who cause an incident by negligence, carelessness, or lack of training. Prevention of these situations is challenging because insiders have better access to the organization's resources and hence, are more likely to cause harm. Moreover, the insider-mediated actions of an attack vector often come unrecognized by security admins as well as the insiders themselves. In this paper, we focus on the identification of the attack vector of unintentional perpetrators. To this end, we propose to employ specialized games that simulate the working period, while the player faces multiple dangers that might cause harm in their company. From the analysis of their actions, we discover the attack vector, which could be addressed before an actual attack happens. To reflect a variety of insiders and company environments, we introduce a platform for designing variants of these games, together with its architecture, an example of a simple game that can be created using the platform, and the used analysis method.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115235801","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

Fitness Guided Vulnerability Detection with Greybox Fuzzing 适应度引导的灰盒模糊漏洞检测

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391457

Raveendra Kumar Medicherla, Raghavan Komondoor, Abhik Roychoudhury

{"title":"Fitness Guided Vulnerability Detection with Greybox Fuzzing","authors":"Raveendra Kumar Medicherla, Raghavan Komondoor, Abhik Roychoudhury","doi":"10.1145/3387940.3391457","DOIUrl":"https://doi.org/10.1145/3387940.3391457","url":null,"abstract":"Greybox fuzzing is an automated test-input generation technique that aims to uncover program errors by searching for bug-inducing inputs using a fitness-guided search process. Existing fuzzing approaches are primarily coverage-based. That is, they regard a test input that covers a new region of code as being fit to be retained. However, a vulnerability at a program location may not get exhibited in every execution that happens to visit to this program location; only certain program executions that lead to the location may expose the vulnerability. In this paper, we introduce a unified fitness metric called headroom, which can be used within greybox fuzzers, and which is explicitly oriented towards searching for test inputs that come closer to exposing vulnerabilities. We have implemented our approach by enhancing AFL, which is a production quality fuzzing tool. We have instantiated our approach to detecting buffer overrun as well as integer-overflow vulnerabilities. We have evaluated our approach on a suite of benchmark programs, and compared it with AFL, as well as a recent extension over AFL called AFLGo. Our approach could uncover more number of vulnerabilities in a given amount of fuzzing time and also uncover the vulnerabilities faster than these two tools.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124393077","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: 11