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Machine Learning software documentation is different from most of thedocumentations that were studied in software engineering research. Often, theusers of these documentations are not software experts. The increasing interestin using data science and in particular, machine learning in different fieldsattracted scientists and engineers with various levels of knowledge aboutprogramming and software engineering. Our ultimate goal is automated generationand adaptation of machine learning software documents for users with differentlevels of expertise. We are interested in understanding the nature and triggersof the problems and the impact of the users' levels of expertise in the processof documentation evolution. We will investigate the Stack Overflow Q/As andclassify the documentation related Q/As within the machine learning domain tounderstand the types and triggers of the problems as well as the potentialchange requests to the documentation. We intend to use the results for buildingon top of the state of the art techniques for automatic documentationgeneration and extending on the adoption, summarization, and explanation ofsoftware functionalities.

Documentation of Machine Learning Software