Executable Line Tester Module for Source Code Debugging
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Solution Overview
Problem
Debugging large software programs is challenging due to the difficulty in identifying and isolating errors in executable lines, as existing methods do not effectively distinguish between executable and non-executable code lines.
Innovation Solution
A system and method that includes a tester module to identify and test only executable lines of source code, excluding declarations, definitions, function prototypes, and empty lines, while generating test information such as coverage and consumption data to help users quickly identify and fix errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a tester module tests each executable line of source code to generate test information, then error identification speed improves, but system complexity increases
Solution Approach 1:
The source code is segmented into executable lines and non-executable lines. The tester module specifically identifies and tests only executable lines (those containing condition statements or action statements) while excluding non-executable lines (declarations, definitions, function prototypes, and empty lines). This segmentation allows the system to focus testing efforts where errors are most likely to occur, reducing overall testing complexity while improving error identification speed.
2Productivity
If the source code is modified with instructions to generate test information for each executable line, then debugging efficiency improves, but code modification complexity increases
Solution Approach 1:
The patent extracts only the executable lines from the source code for testing purposes. By using regular expressions to identify and extract lines containing condition statements (if, while, for loops) and action statements (function calls, variable assignments), the system isolates the critical testing portions from the entire codebase. This extraction approach improves debugging efficiency by focusing on executable code while avoiding the complexity of modifying or testing non-executable lines.
Data Source
AI summary
Systems and methods for generating test information from a source code are described. One of the methods includes accessing the source code. The method further includes receiving a modification of the source code to generate a modified source code. The modification includes one or more instructions that do not affect functions performed by executing the source code. The modification further includes one or more instructions for generating test information regarding each executable line of the source code.