Context-Based IDE Command Recommender System

Software developer's working process could benefit from the support of an active help system that is able to recommend applicable and useful integrated development environment (IDE) commands. While previous work focused on prediction methods that can identify what developers will eventually discover autonomously, and without taking into account the characteristics of their working tasks, we want to build a system that recommends only commands that lead to better work performance. Since we cannot expect that developers are willing to invest a significant effort to use our recommender system (RS), we are developing a context-aware multi-criteria RS based on implicit feedback. We already created and evaluated context and user models. We also acquired a data set with more than 100,000 command executions. Currently, we are developing RS algorithm for predicting the scores of performance and effort expectancy and developer's intention to use a specific command. We are also developing a user interface, that has to be persuasive, effective, and efficient. To date, a user interface for IDE command RS has not been developed.

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