Pub Date : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00011
Emilia Cioroaica, T. Kuhn, Barbora Buhnova
In the context of Smart Ecosystems, systems engage in dynamic cooperation with other systems to achieve their goals. Expedient operation is only possible when all systems cooperate as expected. This requires a level of trust between the components of the ecosystem. New systems that join the ecosystem therefore first need to build up a level of trust. Humans derive trust from behavioral reputation in key situations. In Smart Ecosystems (SES), the reputation of a system or system component can also be based on observation of its behavior. In this paper, we introduce a method and a test platform that support virtual evaluation of decisions at runtime, thereby supporting trust building within SES. The key idea behind the platform is that it employs and evaluates Digital Twins, which are executable models of system components, to learn about component behavior in observed situations. The trust in the Digital Twin then builds up over time based on the behavioral compliance of the real system component with its Digital Twin. In this paper, we use the context of automotive ecosystems and examine the concepts for building up reputation on control algorithms of smart agents dynamically downloaded at runtime to individual autonomous vehicles within the ecosystem.
{"title":"(Do Not) Trust in Ecosystems","authors":"Emilia Cioroaica, T. Kuhn, Barbora Buhnova","doi":"10.1109/ICSE-NIER.2019.00011","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00011","url":null,"abstract":"In the context of Smart Ecosystems, systems engage in dynamic cooperation with other systems to achieve their goals. Expedient operation is only possible when all systems cooperate as expected. This requires a level of trust between the components of the ecosystem. New systems that join the ecosystem therefore first need to build up a level of trust. Humans derive trust from behavioral reputation in key situations. In Smart Ecosystems (SES), the reputation of a system or system component can also be based on observation of its behavior. In this paper, we introduce a method and a test platform that support virtual evaluation of decisions at runtime, thereby supporting trust building within SES. The key idea behind the platform is that it employs and evaluates Digital Twins, which are executable models of system components, to learn about component behavior in observed situations. The trust in the Digital Twin then builds up over time based on the behavioral compliance of the real system component with its Digital Twin. In this paper, we use the context of automotive ecosystems and examine the concepts for building up reputation on control algorithms of smart agents dynamically downloaded at runtime to individual autonomous vehicles within the ecosystem.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236283","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00017
Jooyong Yi, Vladimir Ivanov, G. Succi
Meta-analysis is highly advocated in many fields of empirical research such as medicine and psychology, due to its capability to synthesize quantitative evidence of effects from the literature, based on statistical analysis. However, the adoption of meta-analysis to software engineering is still suffering from inertia, despite the fact that many software engineering researchers have long been arguing the need for it. As an attempt to move beyond the lockstep, we in this paper explore a different use of meta-analysis. Our proposition is that meta-analysis is useful for mining hypotheses because their plausibility is backed by evidence accumulated in the literature, and thus researchers could focus their effort on the areas that are of particular need. We assess our proposition by conducting a lightweight case study on the literature of defect prediction. We found that three out of five hypotheses we extract from our meta-analysis were indeed investigated in separate papers, indicating the usefulness of our approach. We also recognize two uninvestigated hypotheses whose validity we plan to investigate in the future.
{"title":"Mining Plausible Hypotheses from the Literature Via Meta-Analysis","authors":"Jooyong Yi, Vladimir Ivanov, G. Succi","doi":"10.1109/ICSE-NIER.2019.00017","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00017","url":null,"abstract":"Meta-analysis is highly advocated in many fields of empirical research such as medicine and psychology, due to its capability to synthesize quantitative evidence of effects from the literature, based on statistical analysis. However, the adoption of meta-analysis to software engineering is still suffering from inertia, despite the fact that many software engineering researchers have long been arguing the need for it. As an attempt to move beyond the lockstep, we in this paper explore a different use of meta-analysis. Our proposition is that meta-analysis is useful for mining hypotheses because their plausibility is backed by evidence accumulated in the literature, and thus researchers could focus their effort on the areas that are of particular need. We assess our proposition by conducting a lightweight case study on the literature of defect prediction. We found that three out of five hypotheses we extract from our meta-analysis were indeed investigated in separate papers, indicating the usefulness of our approach. We also recognize two uninvestigated hypotheses whose validity we plan to investigate in the future.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126580773","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00033
R. Robbes, M. Lungu, Andrea Janes
Application Programming Interfaces (APIs) are critical to improve developer productivity: developers can reuse a significant amount of functionality instead of writing it themselves. The flip side of API popularity is that APIs are large and numerous: developers often spend significant time searching for the functionality they need. Worse, they may not even be aware that an API exists for a given task and thus waste time reinventing the wheel. We argue for API fluency: the ability for developers to internalize how an API is used. The more developers have internalized the APIs they need, the more productive they can become. We propose an approach to improve API fluency, relying on spaced repetition of recommended API elements.
{"title":"API Fluency","authors":"R. Robbes, M. Lungu, Andrea Janes","doi":"10.1109/ICSE-NIER.2019.00033","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00033","url":null,"abstract":"Application Programming Interfaces (APIs) are critical to improve developer productivity: developers can reuse a significant amount of functionality instead of writing it themselves. The flip side of API popularity is that APIs are large and numerous: developers often spend significant time searching for the functionality they need. Worse, they may not even be aware that an API exists for a given task and thus waste time reinventing the wheel. We argue for API fluency: the ability for developers to internalize how an API is used. The more developers have internalized the APIs they need, the more productive they can become. We propose an approach to improve API fluency, relying on spaced repetition of recommended API elements.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133675371","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00013
I. Malavolta, Francesco Nocera, P. Lago, M. Mongiello
Prefetching network requests has been advocated as a highly effective way of reducing network latency experienced by the user since it allows network responses to be generated immediately from a local cache. In this paper we discuss how user navigation patterns can be used for developing navigation-aware techniques for personalized prefetching of network requests of Android apps. The proposed idea opens for a new family of prefetching opportunities since it focusses at a higher level of abstraction with respect to state-of-the-art approaches for network requests prefetching. The proposed idea allows the development of approaches which adapt their prefetching behaviour according to the unique navigation patterns each user exhibits while interacting with a mobile app.
{"title":"Navigation-Aware and Personalized Prefetching of Network Requests in Android Apps","authors":"I. Malavolta, Francesco Nocera, P. Lago, M. Mongiello","doi":"10.1109/ICSE-NIER.2019.00013","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00013","url":null,"abstract":"Prefetching network requests has been advocated as a highly effective way of reducing network latency experienced by the user since it allows network responses to be generated immediately from a local cache. In this paper we discuss how user navigation patterns can be used for developing navigation-aware techniques for personalized prefetching of network requests of Android apps. The proposed idea opens for a new family of prefetching opportunities since it focusses at a higher level of abstraction with respect to state-of-the-art approaches for network requests prefetching. The proposed idea allows the development of approaches which adapt their prefetching behaviour according to the unique navigation patterns each user exhibits while interacting with a mobile app.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124667945","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00035
Paul Gazzillo, Shiyi Wei
Highly-configurable systems written in C form our most critical computing infrastructure. The preprocessor is integral to C, because conditional compilation enables such systems to produce efficient object code. However, the preprocessor makes code harder to reason about for both humans and tools. Previous approaches to this challenge developed new program analyses for unpreprocessed source code or developed new languages and constructs to replace the preprocessor. But having special-purpose analyses means maintaining a new toolchain, while new languages face adoption challenges and do not help with existing software. We propose the best of worlds: eliminate the preprocessor but preserve its benefits. Our design replaces preprocessor usage with C itself, augmented with syntax-preserving, backwards-compatible dependent types. We discuss automated conditional compilation to replicate preprocessor performance. Our approach opens new directions for research into new compiler optimizations, dependent types for configurable software, and automated translation away from preprocessor use.
{"title":"Conditional Compilation is Dead, Long Live Conditional Compilation!","authors":"Paul Gazzillo, Shiyi Wei","doi":"10.1109/ICSE-NIER.2019.00035","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00035","url":null,"abstract":"Highly-configurable systems written in C form our most critical computing infrastructure. The preprocessor is integral to C, because conditional compilation enables such systems to produce efficient object code. However, the preprocessor makes code harder to reason about for both humans and tools. Previous approaches to this challenge developed new program analyses for unpreprocessed source code or developed new languages and constructs to replace the preprocessor. But having special-purpose analyses means maintaining a new toolchain, while new languages face adoption challenges and do not help with existing software. We propose the best of worlds: eliminate the preprocessor but preserve its benefits. Our design replaces preprocessor usage with C itself, augmented with syntax-preserving, backwards-compatible dependent types. We discuss automated conditional compilation to replicate preprocessor performance. Our approach opens new directions for research into new compiler optimizations, dependent types for configurable software, and automated translation away from preprocessor use.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122105328","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00029
Ivan Postolski, V. Braberman, D. Garbervetsky, Sebastián Uchitel
We propose an approach for rapid detection of performance regressions using a simulator built from the original program by dynamic slicing and a certificate built using static analysis that generalizes its correctness. We discuss two case-studies that illustrate the potential benefits of the proposal.
{"title":"Simulator-Based Diff-Time Performance Testing","authors":"Ivan Postolski, V. Braberman, D. Garbervetsky, Sebastián Uchitel","doi":"10.1109/ICSE-NIER.2019.00029","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00029","url":null,"abstract":"We propose an approach for rapid detection of performance regressions using a simulator built from the original program by dynamic slicing and a certificate built using static analysis that generalizes its correctness. We discuss two case-studies that illustrate the potential benefits of the proposal.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122435226","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00022
M. Beller, J. Hejderup
Blockchain technology has found a great number of applications, from banking to the Internet of Things (IoT). However, it has not yet been envisioned whether and which problems in Software Engineering (SE) Blockchain technology could solve. In this paper, we coin this field "Blockchain-based Software Engineering" and exemplify how Blockchain technology could solve two core SE problems: Continuous Integration (CI) Services such as Travis CI and Package Managers such as apt-get. We believe that Blockchain technology could help (1) democratize and professionalize Software Engineering infrastructure that currently relies on free work done by few volunteers, (2) improve the quality of artifacts and services, and (3) increase trust in ubiquitously used systems like GitHub or Travis CI.
{"title":"Blockchain-Based Software Engineering","authors":"M. Beller, J. Hejderup","doi":"10.1109/ICSE-NIER.2019.00022","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00022","url":null,"abstract":"Blockchain technology has found a great number of applications, from banking to the Internet of Things (IoT). However, it has not yet been envisioned whether and which problems in Software Engineering (SE) Blockchain technology could solve. In this paper, we coin this field \"Blockchain-based Software Engineering\" and exemplify how Blockchain technology could solve two core SE problems: Continuous Integration (CI) Services such as Travis CI and Package Managers such as apt-get. We believe that Blockchain technology could help (1) democratize and professionalize Software Engineering infrastructure that currently relies on free work done by few volunteers, (2) improve the quality of artifacts and services, and (3) increase trust in ubiquitously used systems like GitHub or Travis CI.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123425533","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00024
E. Winter, S. Forshaw, Lucy Hunt, M. Ferrario
This paper reports on the development of ongoing research into the systematic study of human values in software engineering (SE). Firstly, we outline the rationale for this work, highlighting the significance of human values in SE and the need for both a more structured approach to their study and tools to support their articulation in the SE domain. We then explain our theoretical framework, which draws on social psychology research on values. Secondly, we introduce tools designed in line with this framework and the context of their use so far. Our tools adopt a variety of research methods, including structured mixed-method techniques, such as the 'Values Q-Sort' (V-QS), and more open design-based methods, such as the 'Values Probes'. Given the multi-faceted nature of the topic, we argue that a combination of qualitative, quantitative and design thinking techniques is a necessary step for the study of human values in SE; and that these methods should be both a) robust and replicable, and b) creative and provocative. Finally, we highlight the potential applications of our tools in SE industry and education.
{"title":"Towards a Systematic Study of Values in SE: Tools for Industry and Education","authors":"E. Winter, S. Forshaw, Lucy Hunt, M. Ferrario","doi":"10.1109/ICSE-NIER.2019.00024","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00024","url":null,"abstract":"This paper reports on the development of ongoing research into the systematic study of human values in software engineering (SE). Firstly, we outline the rationale for this work, highlighting the significance of human values in SE and the need for both a more structured approach to their study and tools to support their articulation in the SE domain. We then explain our theoretical framework, which draws on social psychology research on values. Secondly, we introduce tools designed in line with this framework and the context of their use so far. Our tools adopt a variety of research methods, including structured mixed-method techniques, such as the 'Values Q-Sort' (V-QS), and more open design-based methods, such as the 'Values Probes'. Given the multi-faceted nature of the topic, we argue that a combination of qualitative, quantitative and design thinking techniques is a necessary step for the study of human values in SE; and that these methods should be both a) robust and replicable, and b) creative and provocative. Finally, we highlight the potential applications of our tools in SE industry and education.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122839880","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00009
Haijun Wang, Yi Li, Shang-Wei Lin, Lei Ma, Yang Liu
Despite the high stakes involved, smart contracts are often developed in an undisciplined way thus far. The existence of vulnerabilities compromises the security and reliability of smart contracts, and endangers the trust of participants in their ongoing businesses. Existing vulnerability detection techniques are often designed case-by-case, making them difficult to generalize. In this paper, we design general principles for detecting vulnerable smart contracts. Our key insight is that almost all the existing transaction-related vulnerabilities are due to the mismatch between the actual transferred amount and the amount reflected on the contract's internal bookkeeping. Based on this, we propose a precise and generally applicable technique, VULTRON, which can detect irregular transactions due to various types of adversarial exploits. We also report preliminary results applying our technique to real-world case studies.
{"title":"VULTRON: Catching Vulnerable Smart Contracts Once and for All","authors":"Haijun Wang, Yi Li, Shang-Wei Lin, Lei Ma, Yang Liu","doi":"10.1109/ICSE-NIER.2019.00009","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00009","url":null,"abstract":"Despite the high stakes involved, smart contracts are often developed in an undisciplined way thus far. The existence of vulnerabilities compromises the security and reliability of smart contracts, and endangers the trust of participants in their ongoing businesses. Existing vulnerability detection techniques are often designed case-by-case, making them difficult to generalize. In this paper, we design general principles for detecting vulnerable smart contracts. Our key insight is that almost all the existing transaction-related vulnerabilities are due to the mismatch between the actual transferred amount and the amount reflected on the contract's internal bookkeeping. Based on this, we propose a precise and generally applicable technique, VULTRON, which can detect irregular transactions due to various types of adversarial exploits. We also report preliminary results applying our technique to real-world case studies.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128857398","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 : 2019-05-27DOI: 10.1109/ICSE-NIER.2019.00012
K. Garrett, G. Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner
With an increased level of automation provided by package managers, which sometimes allow updates to be installed automatically, malicious package updates are becoming a real threat in software ecosystems. To address this issue, we propose an approach based on anomaly detection, to identify suspicious updates based on security-relevant features that attackers could use in an attack. We evaluate our approach in the context of Node.js/npm ecosystem, to show its feasibility in terms of reduced review effort and the correct identification of a confirmed malicious update attack. Although we do not expect it to be a complete solution in isolation, we believe it is an important security building block for software ecosystems.
{"title":"Detecting Suspicious Package Updates","authors":"K. Garrett, G. Ferreira, Limin Jia, Joshua Sunshine, Christian Kästner","doi":"10.1109/ICSE-NIER.2019.00012","DOIUrl":"https://doi.org/10.1109/ICSE-NIER.2019.00012","url":null,"abstract":"With an increased level of automation provided by package managers, which sometimes allow updates to be installed automatically, malicious package updates are becoming a real threat in software ecosystems. To address this issue, we propose an approach based on anomaly detection, to identify suspicious updates based on security-relevant features that attackers could use in an attack. We evaluate our approach in the context of Node.js/npm ecosystem, to show its feasibility in terms of reduced review effort and the correct identification of a confirmed malicious update attack. Although we do not expect it to be a complete solution in isolation, we believe it is an important security building block for software ecosystems.","PeriodicalId":180082,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130438898","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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