API recommendation result evaluation method based on functional similarity

A similarity and function technology, applied in the field of API recommendation result evaluation based on function similarity, to achieve the effect of improving evaluation accuracy

A similarity and function technology, applied in the field of API recommendation result evaluation based on function similarity, to achieve the effect of improving evaluation accuracy

CN110309040APending Publication Date: 2019-10-08SOUTHEAST UNIV
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  • API recommendation result evaluation method based on functional similarity
  • API recommendation result evaluation method based on functional similarity
  • API recommendation result evaluation method based on functional similarity

Examples

Experimental program
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Effect test

Embodiment 1

[0031] Embodiment 1: see figure 1 , figure 2 , the present invention proposes a method for evaluating the correctness of recommended results based on the similarity of API functions, aiming at the non-0 or 1 method in the traditional API recommendation result correctness evaluation method. The similarity between two APIs is calculated from three dimensions, so as to obtain a contribution (between 0 and 1) of a recommended API. And on this basis, a calculation method is given on the calculation of the correctness of the results of the entire recommendation API set.

[0032] Architecture: figure 1 The design architecture of the API recommendation result evaluation technology based on functional similarity is given, as follows

[0033] A detailed description of the two main parts is given below.

[0034] 1. Calculation of the functional similarity Sim of two APIs (API1, API2);

[0035] The function of this module is to calculate the functional similarity Sim of two APIs by ...

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Abstract

The invention discloses an API (Application Programming Interface) recommendation result evaluation method based on functional similarity. For the API recommendation result evaluation method, for cases where the recommendation result is a set of APIs, the function similarity between the recommended API and the correct API is measured through three dimensions of name similarity, API annotation relevance and API call graph similarity; and according to the similarity, the contribution value of the recommendation result set of the API recommendation system is evaluated, and the contribution valueis used for replacing 0 or 1 in a traditional evaluation method, and the correctness of the recommendation result is calculated, so that correctness evaluation is more accurate and is close to a manual evaluation result.

Description

technical field [0001] The invention relates to an evaluation method, in particular to an API recommendation result evaluation method based on functional similarity, and belongs to the technical field of API recommendation result evaluation. Background technique [0002] API (Application Programming Interface, application programming interface) recommendation is an important part of the code recommendation field. Its situation is to recommend the API that the developer wants based on a description or context. For a recommendation, the recommendation result of some systems is A collection of APIs. When evaluating recommendation results, correctness is often the performance that users care most about. The indicators for calculating correctness include precision, recall, etc., but in the calculation of these indicators, the traditional method is to compare the recommended results with the correct results. If they are exactly the same, it will be recorded as 1, otherwise it wil...

Claims

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Application Information

Patent Timeline
08 Oct 2019
Publication
CN110309040A
IPC
G06F11/34
CPC
G06F11/3452; Y02D10/00
Inventors
李必信; 韩伟娜