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12th International Scientific Conference of Young Scientists on Sustainable, Modern and Safe Transport

作者： Duracik, Michal Krsak, Emil Hrkut, Patrik Univ Zilina Fac Management Sci & Informat Univ 8215-1 Zilina 01026 Slovakia

In this work, we analyze the state of the art in source code analysis area with a focus on plagiarism detection and provide a proposal for a future work in this area. Detection of plagiarism combines the detection of clones and methods for determining similarity. Nowadays, there are several approaches that can be divided into three levels. The first one is text based and uses plain text as an input. The second level is token based. The top level is model based and uses models to represent source code. These advanced algorithms (token and model based) can't work with large datasets. We believe the future belongs to the algorithms that will be able to handle large amount of source code. These algorithms should use one of model-based representations. They can be used for formation of large-scale anti-plagiarism systems. They can be used also in the area of source code optimization. (C) 2017 The Authors. Published by Elsevier Ltd.

关键词： source code analysis plagiarism current trends transport optimizations

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Semantic Web - The Missing Link in Global source code analysis?

Semantic Web - The Missing Link in Global Source Code Analys...

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36th Annual IEEE International Computer Software and Applications Conference (COMPSAC)

作者： Keivanloo, Iman Rilling, Juergen Charland, Philippe Concordia Univ Dept Comp Sci Montreal PQ H3G 1M8 Canada Def R&D Canada Syst Syst Sect Valcartier PQ Canada

ISBN: (纸本)9780769547367

There has been an ongoing trend towards open and shared source code that is published on the Internet in large software repositories to support collaborative development processes. While traditional source code analysis techniques perform well in single project contexts, new types of global source code analysis techniques are slowly introduced to address the analysis of global distributed and often incomplete source code. In this article, we discuss how the Semantic Web, an enabling technology for these emerging source code analysis domains, can support a standardized, formal, and semantic rich representation to model these corpora. We also illustrate how inference services can be used to provide support for emerging source code analysis approaches on this data, such as search, call graph construction, and clone detection.

关键词： semantic web source code analysis linked data

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Estimating the Optimal Number of Latent Concepts in source code analysis

Estimating the Optimal Number of Latent Concepts in Source C...

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10th IEEE Working Conference on source code analysis and Manipulation (SCAM)

作者： Grant, Scott Cordy, James R. Queens Univ Sch Comp Kingston ON Canada

ISBN: (纸本)9780769541785

The optimal number of latent topics required to model the most accurate latent substructure for a source code corpus is an open question in source code analysis. Most estimates about the number of latent topics that exist in a software corpus are based on the assumption that the data is similar to natural language, but there is little empirical evidence to support this. In order to help determine the appropriate number of topics needed to accurately represent the source code, we generate a series of Latent Dirichlet Allocation models with varying topic counts. We use a heuristic to evaluate the ability of the model to identify related source code blocks, and demonstrate the consequences of choosing too few or too many latent topics.

关键词： concept location latent Dirichlet allocation models latent concepts latent dirichlet allocation latent substructure latent topic model latent topics program diagnostics software corpus source code analysis source code analysis source code blocks source code corpus statistical analysis

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Knitting Music and Programming Reflections on the Frontiers of source code analysis

Knitting Music and Programming Reflections on the Frontiers ...

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11th IEEE International Working Conference on source code analysis and Manipulation/IEEE International Conference on Software Maintenance/IEEE International Symposium on Web Systems Evolution/VISSOFT/MESOCA

作者： Gold, Nicolas UCL Dept Comp Sci CREST London England

ISBN: (纸本)9780769543475

source code analysis and Manipulation (SCAM) underpins virtually every operational software system. Despite the impact and ubiquity of SCAM principles and techniques in software engineering, there are still frontiers to be explored. Looking "inward" to existing techniques, one finds frontiers of performance, efficiency, accuracy, and usability;looking "outward" one finds new languages, new problems, and thus new approaches. This paper presents a reflective framework for characterizing source languages and domains. It draws on current research projects in music program analysis, musical score processing, and machine knitting to identify new frontiers for SCAM. The paper also identifies opportunities for SCAM to inspire, and be inspired by, problems and techniques in other domains.

关键词： source code analysis music programming music analysis graphical programming

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Vulnerability Remediation in ICS Infrastructure based on source code analysis 19

Vulnerability Remediation in ICS Infrastructure based on Sou...

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19th RoEduNet Annual Conference on Networking in Education and Research (RoEduNet)

作者： Florin, Ilca Lucian Balan, Titus Transilvania Univ Brasov Fac Elect Engn & Comp Sci Brasov Romania

ISBN: (纸本)9780738112657

The Industrial Control Systems (ICS) and its sub-processes, hardware and software, make possible the management and operation of industrial critical infrastructure and services such as: energy, water, defense, transportation. Nowadays, the biggest vendors on the market started developing for the ICS marketplace new systems with more power, control, stability, but these complex systems are susceptible to different threats such as: insider attack, thirdparty, technical or physical failure, external attacks. Therefore, is critical to protect ICS assets. Paying attention to the ISA/IEC 62443 standard, this paper is proposing methods for source code analysis using open source tools that can be used in development or testing phase by ICS professionals in order to detect new vulnerabilities and bugs (e.g. weak encryption, code disclosure, clear text passwords) using a vulnerability remediation management tool in order to have a complete view of new and existing security breaches. The purpose of this research paper is providing valuable information to ICS developers to increase security level in the production area with very little effort for the Internet exposed Programmable Logic Controllers (PLC).

关键词： Operational technology SCADA PLC Firmware Industrial Control Systems Cybersecurity Vulnerability scanning source code analysis SAST tool

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Why source code analysis and Manipulation Will Always Be Important

Why Source Code Analysis and Manipulation Will Always Be Imp...

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10th IEEE Working Conference on source code analysis and Manipulation (SCAM)

作者： Harman, Mark UCL Dept Comp Sci CREST Ctr Malet Pl London WC1E 6BT England

ISBN: (纸本)9780769541785

This paper(1) makes a case for source code analysis and Manipulation. The paper argues that it will not only remain important, but that its importance will continue to grow. This argument is partly based on the 'law' of tendency to executability, which the paper introduces. The paper also makes a case for source code analysis purely for the sake of analysis. analysis for its own sake may not be merely indulgent introspection. The paper argues that it may ultimately prove to be hugely important as source code gradually gathers together all aspects of human socioeconomic and governmental processes and systems.

关键词： governmental processes human socioeconomic processes program diagnostics slicing source code analysis source code analysis source code manipulation source coding transformation

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Building a Developer's Reputation Model for Programming Contest Platforms based on source code analysis

Building a Developer's Reputation Model for Programming Cont...

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作者： Oscar Javier Garavito Mendez Universidad Nacional de Colombia

学位级别：硕士

Last years developers became interested in competitive programming, producing the burst of online platforms which design competitions, where a set of programming problems should be solved. People realize this format is also useful for recruiting and training purposes. As developers participate in contests they gain points and are classified in rankings, according to the performance they exhibit in each competition. Today, these ranks are analogous to reputation systems since they indicate the programmers' expertise. In this thesis dissertation, it is explored the relationship between this reputation and source code features, extracted via source code analysis, of the solutions sent by participants. The aim of this research is to find a set of features, classified into categories lexical, syntactic, quality and readability, which are shared by developers in the same level of knowledge. These features allow us to build a model to predict the programmers' expertise, considering two classes to divide the developers, who can be assigned to beginners or advanced. In that sense, an experiment was designed to create a classifier model to accomplish that task. Overall, the results look promising, achieving an approximate accuracy of 80 %, and having the lexical features as the most relevant for the model.

关键词： Reputation source code analysis Classifier Models Random Forest

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Software trustworthiness 2.0-A semantic web enabled global source code analysis approach

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JOURNAL OF SYSTEMS AND SOFTWARE 2014年第0期89卷 33-50页

作者： Keivanloo, Iman Rilling, Juergen Concordia Univ Dept Comp Sci Montreal PQ H3G 1M8 Canada

There has been an ongoing trend toward collaborative software development using open and shared source code published in large software repositories on the Internet. While traditional source code analysis techniques perform well in single project contexts, new types of source code analysis techniques are ermerging, which focus on global source code analysis challenges. In this article, we discuss how the Semantic Web, can become an enabling technology to provide a standardized, formal, and semantic rich representations for modeling and analyzing large global source code corpora. Furthermore, inference services and other services provided by Semantic Web technologies can be used to support a variety of core source code analysis techniques, such as semantic code search, call graph construction, and clone detection. In this paper, we introduce SeCold, the first publicly available online linked data source code dataset for software engineering researchers and practitioners. Along with its dataset, SeCold also provides some Semantic Web enabled core services to support the analysis of Internet-scale source code repositories. We illustrated through several examples how this linked data combined with Semantic Web technologies can be harvested for different source code analysis tasks to support software trustworthiness. For the case studies, we combine both our linked-data set and Semantic Web enabled source code analysis services with knowledge extracted from StackOverflow, a crowdsourcing website. These case studies, we demonstrate that our approach is not only capable of crawling, processing, and scaling to traditional types of structured data (e.g., source code), but also supports emerging non-structured data sources, such as crowdsourced information (e.g., ***) to support a global source code analysis context. (C) 2013 Elsevier Inc. All rights reserved.

关键词： Semantic Web source code analysis Linked data Global source code analysis

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Guest editorial for the special issue on source code analysis and manipulation, SCAM 2012

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JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS 2014年第6期26卷 531-532页

作者： Ceccato, Mariano Li, Zheng Cordy, James R. Fdn Bruno Kessler Trento Italy Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Queens Univ Sch Comp Kingston ON Canada

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Current Trends in source code analysis, Plagiarism Detection and Issues of analysis Big Datasets

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Procedia Engineering 2017年 192卷 136-141页

作者： Michal Ďuračík Emil Kršák Patrik Hrkút University of Zilina Faculty of Management Science and Informatics Univerzitná 8215/1 010 26 Zilina Slovakia

In this work, we analyze the state of the art in source code analysis area with a focus on plagiarism detection and provide a proposal for a future work in this area. Detection of plagiarism combines the detection of clones and methods for determining similarity. Nowadays, there are several approaches that can be divided into three levels. The first one is text based and uses plain text as an input. The second level is token based. The top level is model based and uses models to represent source code. These advanced algorithms (token and model based) can’t work with large datasets. We believe the future belongs to the algorithms that will be able to handle large amount of source code. These algorithms should use one of model-based representations. They can be used for formation of large-scale anti-plagiarism systems. They can be used also in the area of source code optimization.

关键词： source code analysis plagiarism current trends transport optimizations

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