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AssigneeInternational Business Machines Corporation
InventorsYa Bin DANG, Qi Cheng LI, Shao Chun LI, Guang Tai LIANG, Xin ZHOU
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A system and method to build feature evolution models for existing applications (“apps”) in the market based on open app data repositories). A feature evolution model of an app depicts the app name, its historical versions (historical version labels, release timestamps of each version), rating values of each version, and structured features (e.g., umbrella features and low-level features) each version introduces, improves or deletes. There is further extracted from the app description and release logs the app name, historical version labels, release timestamps, use the rating info of the app to extract and assign rating values for each version of the app, and apply NLP techniques and source code analysis techniques to extract “structured features” of the app through analyzing the app description, the release logs, and corresponding source code revisions of the app. Upon the built feature evolution models, various feature insights may be easily extracted and generated.
A method for improving features of a product comprising:
A system for improving features of a product comprising:
A computer program product for improving features of a product, the computer program product comprising a computer-readable storage medium having a computer-readable program stored therein, wherein the computer-readable program, when executed on a computer system comprising at least one processor, causes the processor to perform:
Dependencies are inferred from the claim text.