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- W2491258112 abstract "Machine learning can be used for several different software data analytics tasks, providing useful insights into software processes and products. For example, it can reveal what software modules are most likely to contain bugs, what amount of effort is likely to be required to develop new software projects, what commits are most likely to induce crashes, how the productivity of a company changes over time, how to improve productivity, etc. The right machine learning algorithm depends on the data and the environment being modeled. Therefore, in order to create good data models, it is important to investigate the data analytics problem in hand before choosing the type of machine learning algorithm to be used. This chapter discusses questions that software engineers can ask about their data analytics problem in order to choose an appropriate machine learning algorithm." @default.
- W2491258112 created "2016-08-23" @default.
- W2491258112 creator A5064089961 @default.
- W2491258112 date "2016-01-01" @default.
- W2491258112 modified "2023-10-12" @default.
- W2491258112 title "Which machine learning method do you need?" @default.
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- W2491258112 doi "https://doi.org/10.1016/b978-0-12-804206-9.00030-1" @default.
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