Public contribution combination request repeatability detecting method based on hybrid similarity
A technology that mixes similarity and detection methods, applied in the field of software collaborative development, can solve problems that cannot be identified in time, achieve efficient organization, improve aggregation efficiency, and improve detection effects
Active Publication Date: 2018-06-19
NAT UNIV OF DEFENSE TECH
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Benefits of technology
In this patented technology, it suggests combining different types of documents into one composite document for easier analysis purposes compared to previous methods like comparing them manually or inspecting each other's modifications. By doing these techniques, we aimed towards increasing program reviews speed while reducing their effort required. Additionally, there are various ways to gather representative datasets related to shared resources such as files hosted within our website (GitHub). These dataset include references about how frequently new versions of applications were released over time, along with summary statistics describing what changed when they had been installed onto users’ devices. Overall, this innovation helps streamline programs revisit and enhance collaboration across multiple platforms.
Problems solved by technology
This patented technical solution described in the prior art discusses how crowdsourcing platforms have been used over generations with similar goals but without sharing data between different users. These challenges include redundancy issues due to duplicate requests being generated simultanously, increased resource consumption caused by unnecessary updates, and potential negative effects such as increasing maintenance expenses. To address these concerns, an automatic system called Crawlance Group Platform was developed where each user shares his own copy of its dataset instead of copying everything else. By analyzing shared datasets, the platform predicts who needs modification before sending new ones, reducing the amount of resources needed while maintaining high performance levels. Additionally, the framework uses checks against distributed copies of existing drawings to identify duplicate proposals quickly. Overall, the proposed technology helps improve efficient use of computerized environments like web services.
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[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0028] Such as figure 1 Shown is the schematic flow sheet of the inventive method; Concrete steps are as follows:
[0029] S1. Calculate the text similarity between the newly submitted public contribution merge request and the historical public contribution merge request, the text similarity includes title text similarity and description text similarity.
[0030] For text extracted from crowd-contributed merge request titles and descriptions, standard preproces
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The invention belongs to the field of software coordinative development, and discloses a public contribution combination request repeatability detecting method based on hybrid similarity. The method includes the steps of calculating the text similarity between a newly-submitted public contribution combination request and a historical public contribution combination request, calculating the variation similarity between the newly-submitted public contribution combination request and the historical public contribution, searching a public coordinative development platform for a historical repeatedcontribution data set, combining the text similarity and the variation similarity by means of a weight calculating method based on a greedy search strategy under the training of the data set to calculate the hybrid similarity of public contributions, and finally obtaining a list of historical public contribution combination requests the most probably repeated with a given public contribution combination request according to the value of the hybrid similarity. The public contribution repeatability can be detected in time, repeated artificial code inspection work is avoided, and the public contribution inspection efficiency is improved.
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