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The goal of APIMatchmaker is hence to recommend the best suited APIs and their usage patterns that will help app developers quickly expand those incomplete methods. Since the active app projects come with source code, the pre-processing of the first module (APM) is achieved by directly parsing the source code.
Jan 1, 2023 · We evaluate APIMatchmaker on a large number of real-world Android apps and observe that APIMatchmaker yields a high success rate in recommending ...
We evaluate APIMatchmaker on a large number of real-world Android apps and observe that APIMatchmaker yields a high success rate in recommending APIs for ...
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@article{zhao2022apimatchmaker, title={APIMatchmaker: Matching the Right APIs for Supporting the Development of Android Apps}, author={Zhao, Yanjie and Li, ...
This work proposes to the community a new tool, namely APIMatchmaker, to recommend API usages by learning directly from similar real-world Android apps, ...
APIMatchmaker: Matching the Right APIs for Supporting the Development of Android Apps. Android developers are often faced with the need to learn how to use ...
APIMatchmaker: Matching the Right APIs for Supporting the Development of Android Apps ... development and whether Android development can be well supported ...
Aug 18, 2023 · The solution to this problem is to update all active application packages released in production or testing. To see a list of all app bundles ...
The Android Neural Networks API (NNAPI) is an Android C API designed for running computationally intensive operations for machine learning on Android devices.
Missing: APIMatchmaker: Right
The suitability of FOCUS for Android programming is shown by evaluating it on a dataset of 2,600 mobile apps and results show that the approach outperforms ...
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