Software Program Analysis Task

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A Software Program Analysis Task is a information system analysis task whose input is a software program.



References

2023

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    • Software code analysis refers to the process of examining and evaluating software source code to identify potential issues, vulnerabilities, and areas for improvement. This analysis can help developers enhance the quality, security, performance, and maintainability of their software. There are three primary types of software code analysis: static program analysis, dynamic program analysis, and behavioral program analysis.
      • Static program analysis is the process of examining software source code without executing the program. It involves analyzing the code's structure, syntax, and semantics to identify potential issues, such as coding errors, security vulnerabilities, and code smells (anti-patterns). Static analysis tools, also known as static code analyzers or linters, can automatically detect these problems and provide suggestions for fixing them. Static analysis can be performed at various stages of the software development life cycle, including during code reviews and continuous integration processes.
      • Dynamic program analysis, in contrast to static analysis, involves analyzing a software program while it is running. This type of analysis focuses on the runtime behavior of the software, including its performance, resource utilization, and interactions with external components, such as databases, APIs, or the file system. Dynamic analysis can help identify issues that may not be apparent through static analysis, such as memory leaks, race conditions, or security vulnerabilities that arise from specific input values or execution paths. Some common dynamic analysis techniques include debugging, profiling, and fuzz testing.
      • Behavioral program analysis is an approach that focuses on understanding the behavior and execution patterns of a software program, application, or script. It goes beyond traditional static and dynamic code analysis by examining the runtime behavior, interactions, and dependencies of the software components. This can help uncover hidden vulnerabilities, optimize performance, and gain a better understanding of the software's logic. Behavioral program analysis techniques include control flow analysis, data flow analysis, state analysis, input/output analysis, and resource utilization analysis.

2020

  1. Nielson, F., Nielson, H. R., & Hankin, C. (2015). Principles of program analysis. Springer.