Software Repository Synopses for Functional Package Search
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Solution Overview
Problem
Existing software repositories are difficult to navigate due to inadequate summaries of software packages, making it challenging for developers to find packages that serve specific functions, even with search engines.
Innovation Solution
A system utilizing a machine learning model to analyze software packages, generate synopses describing their functions, and refine these descriptions based on user feedback, enabling accurate searching and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If developers manually parse through lines of code to interpret software package intent, then they can understand the function of software packages, but the process becomes arduous and time-consuming
Solution Approach 1:
The system automatically generates synopses describing software package functions in advance, so that when developers search the repository, the functional descriptions are already prepared and available. This preliminary action eliminates the need for developers to manually parse code during the search process, directly resolving the time loss while maintaining accurate understanding of package functions.
2Loss of information
If software packages include detailed descriptions, then the intent of software packages becomes clear, but the repository becomes more complex and harder to navigate
Solution Approach 1:
The system extracts the essential functional information from software package code and separates it into standalone synopses. These extracted synopses are then stored separately from the original code, allowing developers to search and access functional descriptions without navigating through the complete, complex repository structure. This extraction maintains information completeness while reducing navigational complexity.
3Measurement precision
If traditional search engines are used to search for specific lines of code or terms, then exact matches can be found, but searching for overall package function remains ineffective
Solution Approach 1:
The system introduces synopses as an intermediary layer between the search interface and the actual software packages. When developers search for package functions, they query the synopses rather than directly searching through code. This intermediary enables effective functional searching while maintaining the precision of traditional search engines for exact term matches, as the synopses contain both natural language descriptions and key technical terms.
Data Source
AI summary
A system method of managing a software repository. The method including receiving a dataset comprising a set of computer instructions, retrieving feature-related data from the dataset, determining, by a machine learning model executing on the computing device, a function of the computer instructions based on the feature-related data, and generating a synopsis of the function of the computer instructions. The method can include transmitting the synopsis to a user interface and receiving feedback from a user indicative of whether the synopsis accurately describes the function of the computer instructions. If the feedback indicates that the synopsis accurately describes the function of the computer instructions, the method can include storing the synopsis in a memory of the computing device. If the feedback indicates that the synopsis inaccurately describes the function of the computer instructions, the method can include generating a revised synopsis of the function of the computer instructions.