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--- summerschool2018:lecture7 [2018/03/05 20:50]
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-**Title**: TBA
+**Title**: (Big) Text Analytics to Support Software Development Projects
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-**Abstract**: TBA
+**Abstract**: Software development is a very human-intensive activity, in which developers and other stakeholders collaborate by using several unstructured communication channels. While the content of such communication channels constitutes a previous source to support software development, processing it can be challenging.  The amount of available data is impressive, just to make an example Stack Overflow has received over 5 million posts per year during the last three years, and popular mobile apps have received a total of several million reviews. As it is not enough, the presence of technical terms and the interleave of source code and natural language make out-of-the-box natural language processing approaches unsuitable (or at least not ideal) to analyze such data.
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+This talk will outline achievements, challenges, and open problems in the analysis of unstructured software data. More specifically, the talk will overview applications related to mobile app review analytics, extraction of patterns from developers' communication, and the mining of opinion and emotions from software artifacts.  Upon discussing the different applications, we will discuss the (in)applicability of standard techniques, and the challenges for customizing them to the software engineering domain.
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+Last, but not least, the talk will overview the applicability of text mining approaches for the analysis of runtime data, for example in the area of concept location.
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