Debugging Variable Value Discrepancies via Collection Points
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Solution Overview
Problem
Conventional debugging methods are inefficient and time-consuming, especially in object-oriented programming, due to the need to step through numerous irrelevant instructions and the lack of effective tools to compare variable values and execution order across multiple program runs.
Innovation Solution
An algorithm and method that establish collection points within a program to monitor and compare the values of expressions/variables during different executions, allowing for the identification of discrepancies and notification of changes, thereby streamlining the debugging process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional debuggers use step operations to execute instructions one at a time, then the programmer can see the results of each instruction, but the process becomes tedious and time-consuming when stepping through hundreds or thousands of lines of program instructions
Solution Approach 1:
The system performs preliminary actions by automatically collecting variable values and execution order data during program runs before the debugging analysis is needed. Collection points are established in advance to capture state information, so that when debugging occurs, the data is already ready for comparison without requiring manual step-through execution.
Solution Approach 2:
The system creates copies of program execution states by collecting variable values and execution order information during multiple runs. These copies are then compared to identify differences, allowing the programmer to analyze changes between executions without manually stepping through each instruction in every run.
2Measurement precision
If conventional debuggers use breakpoints to halt execution at specific instructions, then the program stops execution and displays results for analysis, but hundreds of unwanted stoppages occur before the desired stoppage in object-oriented programming
Solution Approach 1:
The system extracts and monitors only the specific variables and expressions relevant to the debugging task at designated collection points, rather than halting execution at every breakpoint. This allows the system to filter out irrelevant stoppages by focusing collection on only those variables that need monitoring, eliminating time spent on unwanted halts.
Solution Approach 2:
The collection point mechanism serves multiple functions: it collects variable values, tracks execution order, and enables comparison across runs without requiring separate breakpoint operations for each function. This multi-functional approach reduces the number of stoppages needed while maintaining comprehensive monitoring capability.
3Measurement precision
If conventional debuggers use conditional breakpoints to halt execution only when a variable is set to a predetermined value, then relevant stoppages are achieved, but the complexity of setting and managing multiple conditional breakpoints increases
Solution Approach 1:
The system segments the monitoring task by establishing separate collection points for different variables and expressions at specific locations in the program. Each collection point independently tracks its assigned variable's value and execution order, allowing complex monitoring to be broken down into simple, manageable segments without requiring complex conditional breakpoint configurations.
Solution Approach 2:
The collection point acts as an intermediary between the program execution and the debugging analysis. Instead of directly configuring complex conditional breakpoints, the collection point automatically captures variable values and execution order, serving as a mediator that simplifies the debugging configuration while maintaining precise monitoring capability.
4Measurement precision
If programmers manually compare variable values between multiple program runs to identify bugs, then differences can be detected, but the process is time-consuming and error-prone
Solution Approach 1:
The system provides feedback by automatically comparing variable values and execution order between multiple runs and highlighting differences. This automated feedback mechanism eliminates manual comparison, reducing time consumption while maintaining high accuracy through systematic data collection and comparison at collection points.
Solution Approach 2:
The system replaces the mechanical manual comparison process with automated computational comparison. By collecting data structurally at collection points and using programmatic comparison algorithms, the system substitutes human manual inspection with automated processing, significantly reducing time and effort while improving consistency and accuracy.
Data Source
AI summary
An automated way to detect differences in the values of program variables/expressions and the order of execution between one run and another. A collection mode saves the values of expressions/variables at collection points in the program. On a subsequent execution during the detection mode, these saved values of the same expressions/variables are recalled and compared with the current values. Advantageously, the user selects the collection points within the program at which variable information can be gathered and compared; and these collection points may include: breakpoints set by a debugging program or by the user; collection points set by the user, and entry and/or exit points and/or points within program structures, such as procedure calls, control blocks, etc. Setup of the collection mode includes the capability to modify the expressions/variables, the tolerance or the acceptable alternatives, and the position and number of collection points.