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Enabling Go Program analysis in Rascal 23

Enabling Go Program Analysis in Rascal

引用

23rd ieee International working conference on source code analysis and manipulation, SCAM 2023

作者： Swearngan, Luke Hills, Mark Appalachian State University BooneNC United States

ISBN: (纸本)9798350305067

In this paper, we present early work on the foundation of a program analysis framework for the Go programming language. This framework, named Go AiR (analysis in Rascal), currently provides support for extracting abstract syntax trees from Go source code, working with multiple Go projects and multiple versions of a single Go project (based on Git version history), and code exploration through the use of Rascal features for working with representations of source code. We discuss the structure of the framework, describe the mapping from Go to Rascal and how this was tested, present sample code showing how the framework can be used to explore Go source code, and discuss future extensions to the framework to support program analysis and verification. © 2023 ieee.

关键词： Static analysis

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Automatic Identification of Important Clones for Refactoring and Tracking 14

Automatic Identification of Important Clones for Refactoring...

引用

14th ieee International working conference on source code analysis and manipulation (SCAM)

作者： Mondal, Manishankar Roy, Chanchal K. Schneider, Kevin A. Univ Saskatchewan Dept Comp Sci Saskatoon SK S7N 0W0 Canada

ISBN: (纸本)9780769553047

code cloning is a controversial software engineering practice due to contradictory claims regarding its impacts on software evolution and maintenance. While a number of studies identify some positive aspects of code clones, there is strong empirical evidence of some negative impacts of clones too. Focusing on the issues related to clones researchers suggest to manage code clones through detection, refactoring, and tracking. However, all clones in a software system are not suitable for refactoring or tracking. Thus, it is important to identify which clones we should consider for refactoring and which clones should be considered for tracking. In this research work we apply the concept of evolutionary coupling to identify clones that are important for refactoring or tracking. By mining software evolution history, we determine and analyze constrained association rules of clone fragments that evolved following a particular change pattern called Similarity Preserving Change Pattern and are important from the perspective of refactoring and tracking. According to our investigation with rigorous manual analysis on thousands of revisions of six diverse subject systems covering two programming languages, overall 13.20% of all clones in a software system are important candidates for refactoring, and overall 10.27% of all clones are important candidates for tracking. Our implemented system can automatically identify these important candidates and thus, can help us in better maintenance of code clones in terms of refactoring and tracking.

关键词： software maintenance automatic identification code cloning constrained association rules evolutionary coupling important clones programming languages refactoring similarity preserving change pattern software engineering software evolution software evolution history mining tracking Association rules Cloning Couplings Java Maintenance engineering Software systems Association Rule Clone Refactoring Clone Tracking code Clones Evolutionary Coupling Association rules Reconstructions Software maintenance Software systems Automatic identification tracking software evolution Clone Cells Maintenance engineering Computer Programming Languages Software engineering Couplings Java Java programming language Cloning

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Some Assembly Required - Program analysis of Embedded System code

Some Assembly Required - Program Analysis of Embedded System...

引用

8th ieee International working conference on source code analysis and manipulation

作者： Fehnker, Ansgar Huuck, Ralf Rauch, Felix Seefried, Sean Univ NSW Natl ICT Australia Sydney NSW 1466 Australia

ISBN: (纸本)9780769533537

Programming embedded system software typically involves more than one programming language. Normally, a high-level language such as C/C++ is used,for application oriented tasks and a low-level assembly language for direct interaction with the underlying hardware. In most cases those languages are closely interwoven and the assembly is embedded in the C/C++ code. Verification of such programs requires the integrated analysis of both languages at the same time. However, common algorithmic verification tools fail to address this issue. In this work we present a model-checking based static analysis approach which seamlessly integrates the analysis of embedded ARM assembly with C/C++ code analysis. In particular we show how to automatically check that the ARM code complies to its interface descriptions. Given interface compliance, we then provide an extended analysis framework for checking general properties of ARM code. We implemented this analysis in our source code analysis tool Goanna, and applied to the source code of an L4 micro kernel implementation.

关键词： Model checking

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Precise analysis of Java Programs using JOANA

Precise Analysis of Java Programs using JOANA

引用

8th ieee International working conference on source code analysis and manipulation

作者： Giffhorn, Dennis Hammer, Christian Univ Karlsruhe TH Karlsruhe Germany

ISBN: (纸本)9780769533537

The JOANA project (Java Object-sensitive analysis) is a program. analysis infrastructure for the Java language. It contains a wide range of analysis techniques such as dependence graph computation, slicing and chopping for sequential and concurrent programs, computation of path conditions and algorithms for software security. This demonstration presents the JOANA plugin for the Eclipse framework. hi the current version, a user can compute and navigate through dependence graphs for full Java bytecode, analyze Java programs with a broad range of slicing and chopping algorithms, and use precise algorithms for language-based security to check programs for information leaks.

关键词： Java programming language

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Lint-Based Warnings in Python code: Frequency, Awareness and Refactoring 22

Lint-Based Warnings in Python Code: Frequency, Awareness and...

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ieee 22nd International working conference on source code analysis and manipulation (SCAM)

作者： Oliveira, Naelson Ribeiro, Marcio Bonifacio, Rodrigo Gheyi, Rohit Wiese, Igor Fonseca, Baldoino Fed Univ Alagoas UFAL Ave Lourival Melo Mota S-N BR-57072900 Maceio Alagoas Brazil Brasilia Univ UnB Via L3 NorteS-NCampus Univ Darcy Ribeiro BR-70910900 Brasilia DF Brazil Fed Univ Campina Grande UFCG R Aprigio Veloso 882 BR-58428830 Campina Grande Paraiba Brazil Fed Univ Technol Parana UTFPR Ave Sete Setembro 3165 BR-8023090 Curitiba Parana Brazil

ISBN: (纸本)9781665496094

Python is a popular programming language characterized by its simple syntax and easy learning curve. Like many languages, Python has a set of best practices that should be followed to avoid bugs and improve other quality attributes (such as maintenance and readability). In this context, non-compliance to these practices can be detected by using linting tools. Previous work conducted studies to better understand the frequency of a class of problems that can be found using Python linters: warnings, here named as lint-based warnings. However, they either rely on small datasets or focus on few domains, such as machine learning or web-systems projects. In this paper, we provide a mixed-method study where we analyze the frequency of six lint-based warnings in 1,119 different open-source general-purpose Python projects. To go further, we also conduct a survey to check whether developers are aware of the lint-based warnings we study here. In particular, we intend to check whether they are able to identify the six lint-based warnings. To remove the lint-based warnings, we suggest the application of simple refactorings. Last but not least, we evaluate the suggestions by submitting pull requests to remove lint-based warnings from open-source projects. Our results show that 39% of the 1,119 projects have at least one lint-based warning. After analyzing the survey data, we also show that developers prefer Python code without lint-based warnings. Regarding the pull requests, we achieve a 71.8% of acceptance rate.

关键词： Python Linting Static analysis

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TBCppA: a Tracer Approach for Automatic Accurate analysis of C Preprocessor's Behaviors

TBCppA: a Tracer Approach for Automatic Accurate Analysis of...

引用

8th ieee International working conference on source code analysis and manipulation

作者： Gondow, Katsuhiko Kawashima, Hayato Imaizumi, Takashi Tokyo Inst Technol Tokyo Japan New Glass Forum Tokyo Japan Chiba Univ Chiba Japan

ISBN: (纸本)9780769533537

C preprocessor (CPP) is a major cause that makes it much difficult to accurately analyze C source code, which is indispensable to refactoring tools for C programs. To accurately analyze C source code, we need to generate CPP mapping information between unpreprocessed C source code and preprocessed one. Previous works generate CPP mapping information by extending the existing CPP which results in low portability and low maintainability, due to the strong dependency of CPP implementation. To solve this problem, this paper proposes a novel approach (called TBCppA) based on tracer, which generates CPP mapping information by instrumenting the unpreprocessed C source code using XML-like tags called "tracers". The advantage of TBCppA is high portability and high maintainability, which the previous methods do not have. We successfully implemented a first prototype of TBCppA and our preliminary evaluation of applying TBCppA to gcc-4.1.1 produced promising results.

关键词： Maintainability

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Plug and Analyze: Usable Dynamic Taint Tracker for Android Apps 22

Plug and Analyze: Usable Dynamic Taint Tracker for Android A...

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ieee 22nd International working conference on source code analysis and manipulation (SCAM)

作者： Inayoshi, Hiroki Kakei, Shohei Saito, Shoichi Nagoya Inst Technol Nagoya Aichi Japan

ISBN: (纸本)9781665496094

Taint analyses, especially static taint analyses, are utilized to uncover hidden and suspicious behaviors in Android apps. However, current static taint analyzers use imprecise Android models, producing unreliable results and increasing the result verification cost. On the other hand, current dynamic taint trackers accurately detect execution paths. However, they depend on specific Android versions and modified devices, reducing their usability. Also, the users may not be able to analyze prepared datasets comprehensively. The results of the current analyses would be biased and less trustworthy. This paper presents a new dynamic taint analyzer called T-Recs that tracks information flows by recording the app execution at the app's bytecode level on an Android device and reconstructing the execution on a server independently of specific Android versions and devices. The users can instantly start analyzing apps with TRecs after plugging an unmodified device into their computer. We implemented and evaluated T-Recs with 158 apps of DroidBench 3.0 in comparison with current taint analyzers: FlowDroid (w/ and w/o IC3), Amandroid, DroidSafe, and TaintDroid (w/ and w/o IntelliDroid), and only T-Recs achieved 100% accuracy. The result of privacy leak detection in 96 popular Google Play apps shows that T-Recs detected 43 true positives, the highest among compared tools. Also, T-Recs analyzed 39,480 apps from Google Play and Anzhi, showing that T-Recs can be applied to apps that vary in supported SDK versions. Further, the result of ID leak detection in 158 popular apps from Google Play in 2021 shows that T-Recs can detect leaks in recently-developed apps. T-Recs is one of the promising tools for future app analysis.

关键词： taint analysis information flow privacy leak detection Android security

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Automated Detection of code Vulnerabilities Based on Program analysis and Model Checking

Automated Detection of Code Vulnerabilities Based on Program...

引用

8th ieee International working conference on source code analysis and manipulation

作者： Wang, Lei Zhang, Qiang Zhao, PengChao Beijing Univ Aeronaut & Astronaut Comp Sch Beijing Peoples R China

ISBN: (纸本)9780769533537

Ensuring the correctness and reliability of software systems is one of the main problems in software development. Model checking, a static analysis method, is preponderant in improving the precision of vulnerabilities detection. However, when applied to buffer overflow and other bugs, it is hard to automatically construct the model for detecting the vulnerabilities. To address this problem we propose an approach that combines constraint based analysis and model checking together. We trace the memory size of buffer-related variables and instrument the code with corresponding constraint assertions before the potential vulnerable points by constraint based analysis. Then the problem of detecting vulnerabilities is converted into the problem of detecting vulnerabilities to verifying the reach ability of these assertions by model checking. In order to reduce the cost of model checking, program slicing is introduced to reduce the code size. codeAuditor is a prototype implementation of our approach. With codeAuditor, several yet unreported vulnerabilities are discovered in several open source software, and the performance is shown to be improved significantly with the help of program slicing.

关键词： Model checking

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COORDINSPECTOR: a tool for extracting coordination data from legacy code

COORDINSPECTOR: a tool for extracting coordination data from...

引用

8th ieee International working conference on source code analysis and manipulation

作者： Rodrigues, Nuno F. Barbosa, Luis S. Univ Minho DI CCTC P-4710 Braga Portugal

ISBN: (纸本)9780769533537

More and more current software systems rely on non trivial coordination logic for combining autonomous services typically running on different platforms and often owned by different organizations. Often, however, coordination data is deeply entangled in the code and, therefore, difficult to isolate and analyse separately. COORDINSPECTOR is a software tool which combines slicing and program analysis techniques to isolate all coordination elements from the source code of an existing application. Such a reverse engineering process provides a clear view of the actually invoked services as well as of the orchestration patterns which bind them together. The tool analyses Common Intermediate Language (CIL) code, the native language of Microsoft Net Framework. Therefore, the scope of application Of COORDINSPECTOR is quite large: potentially any piece of code developed in any of the programming languages which compiles to the Net Framework. The tool generates graphical representations of the coordination layer together and identifies the underlying business process orchestrations, rendering them as Ore specifications.

关键词： Application programs

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SUDS: An infrastructure for creating bug detection tools

SUDS: An infrastructure for creating bug detection tools

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7th ieee International working conference on source code analysis and manipulation

作者： Larson, Eric Seattle Univ Dept Comp Sci & Software Engn Seattle WA 98122 USA

ISBN: (纸本)9780769528809

SUDS is a powerful infrastructure for creating dynamic bug detection tools. It contains Phases for both static analysis and dynamic instrumentation allowing users to create tools that take advantage of both paradigms. The results of static analysis phases can be used to improve the quality of dynamic bug detection tools created with SUDS and could be expanded to find defects statically. The instrumentation engine is designed in a manner that allows users to create their own correctness models quickly but is flexible to support construction of a wide range of different tools. The effectiveness of SUDS is demonstrated by showing that it is capable of finding bugs and that performance is improved when static analysis is used to eliminated unnecessary instrumentation.

关键词： Static analysis

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