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Mitigating false positive static analysis warnings: Progress, challenges, and opportunities
Static analysis (SA) tools can generate useful static warnings to reveal the problematic code
snippets in a software system without dynamically executing the corresponding source code …
snippets in a software system without dynamically executing the corresponding source code …
Analysis of JavaScript programs: Challenges and research trends
K Sun, S Ryu - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
JavaScript has been a de facto standard language for client-side web programs, and now it
is expanding its territory to general purpose programs. In this article, we classify the client …
is expanding its territory to general purpose programs. In this article, we classify the client …
The adoption of javascript linters in practice: A case study on eslint
A linter is a static analysis tool that warns software developers about possible code errors or
violations to coding standards. By using such a tool, errors can be surfaced early in the …
violations to coding standards. By using such a tool, errors can be surfaced early in the …
Nodest: feedback-driven static analysis of Node. js applications
Node. js provides the ability to write JavaScript programs for the server-side and has
become a popular language for develo** web applications. Node. js allows direct access …
become a popular language for develo** web applications. Node. js allows direct access …
Risky Dynamic Ty**-related Practices in Python: An Empirical Study
Python's dynamic ty** nature provides developers with powerful programming
abstractions. However, many type-related bugs are accumulated in code bases of Python …
abstractions. However, many type-related bugs are accumulated in code bases of Python …
Systematic approaches for increasing soundness and precision of static analyzers
Building static analyzers for modern programming languages is difficult. Often soundness is
a requirement, perhaps with some well-defined exceptions, and precision must be adequate …
a requirement, perhaps with some well-defined exceptions, and precision must be adequate …
Leveraging practitioners' feedback to improve a security linter
Infrastructure-as-Code (IaC) is a technology that enables the management and distribution
of infrastructure through code instead of manual processes. In 2020, Palo Alto Network's …
of infrastructure through code instead of manual processes. In 2020, Palo Alto Network's …
Fuzzslice: Pruning false positives in static analysis warnings through function-level fuzzing
Manual confirmation of static analysis reports is a daunting task. This is due to both the large
number of warnings and the high density of false positives among them. Fuzzing techniques …
number of warnings and the high density of false positives among them. Fuzzing techniques …
Accelerating page loads via streamlining JavaScript engine for distributed learning
C Liang, G Wang, N Li, Z Wang, W Zeng, F **ao… - Information …, 2024 - Elsevier
Distributed learning based on JavaScript-based frontends is typically implemented at the
endpoint to maximize performance. Yet, JavaScript-based frontends often experience …
endpoint to maximize performance. Yet, JavaScript-based frontends often experience …
A survey of parametric static analysis
Understanding program behaviors is important to verify program properties or to optimize
programs. Static analysis is a widely used technique to approximate program behaviors via …
programs. Static analysis is a widely used technique to approximate program behaviors via …