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Debugging

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In software engineering, debugging is the process of detecting, analyzing and fixing bugs in software systems. This process is an integral part of the software development lifecycle and is critical to software reliability, performance and user satisfaction. Debugging is not only limited to fixing bugs, but also contributes to improving the overall quality of the software.

Debugging Process and Basic Principles

The debugging process usually involves the following steps:

  1. Bug Detection: In case the software behaves in an unexpected way or crashes, bug detection is performed. At this stage, sources such as error messages, log records and user feedback are used.
  2. Bug Isolation: It is determined from which component of the software the detected bug originates. In this process, debugging tools and techniques are used to narrow down the location of the bug.
  3. Bug Analysis: The causes of the bug are examined and the root cause is identified. This phase usually requires a detailed review and testing of the code.
  4. Bug Fixing: The identified bug is fixed in an appropriate way. In this process, code may need to be rewritten or existing code may need to be modified.
  5. Verification and Testing: To make sure that the bug has been fixed, the software is tested again. In this phase, it is checked both that the fix was successful and that the changes made did not lead to further errors.


This process can be repeated at each stage of the software development process and is applied continuously to improve the quality of the software.

Debugging Techniques

There are various techniques used in the debugging process. These techniques allow errors to be detected and corrected more quickly and effectively.

Traditional Techniques

  • Manual Tracing: This is where the developer goes through the code line by line and tries to find the error. This method can be effective in small projects but time consuming in large and complex projects.
  • Logging: It is the writing of certain information to log files during the operation of the software. These logs provide important information for error detection and analysis.
  • Breakpoint Usage: Stops execution at certain points in the code, allowing to examine the current variable values and the state of the program.

Automatic Techniques

  • Static Analysis: It is the analysis of the code before it is run to detect potential errors. This method is effective in finding structural errors in the code.
  • Dynamic Analysis: Monitoring and analyzing the behavior of the code during execution. This method is especially used for detecting runtime errors.
  • Program Slicing: It is the identification of code fragments that affect the value of a particular variable. This technique helps to find the cause of the error faster.
  • Delta Debugging: It is a technique used to find the smallest piece of code that causes the error to occur. This method facilitates the isolation of the error.

Debugging Tools and Applications

Various tools have been developed to support the debugging process. These tools help developers detect and fix bugs more quickly and effectively.

  • Advanced Debuggers: Modern integrated development environments (IDEs) offer advanced debugging features. These features include breakpoints, variable tracing, stack tracing, and step-by-step execution.
  • Profiling Tools: Analyze the performance of the software to detect performance-related errors. These tools monitor memory usage, processor utilization and other performance metrics.
  • Static Analysis Tools: Used to detect structural errors in the code. These tools are important for improving the quality of the code and identifying potential bugs in advance.
  • Automatic Testing Tools: Allows the software to be tested automatically according to specific scenarios. These tools are used in regression testing and continuous integration processes.

Bibliographies

Ghosh, Debolina, and Jagannath Singh."A systematic review on program debugging techniques." Smart Computing Paradigms: New Progresses and Challenges: Proceedings of ICACNI 2018, Volume 2 (2020): 193-199.Erişim Adresi.

Kang, Sungmin, Bei Chen, Shin Yoo, and Jian-Guang Lou."Explainable automated debugging via large language model-driven scientific debugging." Empirical Software Engineering 30, no. 2 (2025): 1-28.Erişim Adresi.

Lauesen, Søren."Debugging techniques." Software: Practice and Experience 9, no. 1 (1979): 51-63. Erişim Adresi.

Wang, Hogshu. "Automating Software Debugging: An Approach to Travel Back to The Root Cause of Your Bug". National University of Singapore. Erişim Adresi.

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Main AuthorOkan KanpolatMay 25, 2025 at 3:00 PM
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