{"id":166184,"date":"2014-06-01T00:00:00","date_gmt":"2014-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/analyze-this-145-questions-for-data-scientists-in-software-engineering-2\/"},"modified":"2019-10-15T01:28:25","modified_gmt":"2019-10-15T08:28:25","slug":"analyze-this-145-questions-icse-2014","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/analyze-this-145-questions-icse-2014\/","title":{"rendered":"Analyze This! 145 Questions for Data Scientists in Software Engineering"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In this paper, we present the results from two surveys related to data science applied to software engineering. The first survey solicited questions that software engineers would like data scientists to investigate about software, about software processes and practices, and about software engineers. Our analyses resulted in a list of 145 questions grouped into 12 categories. The second survey asked a different pool of software engineers to rate these 145 questions and identify the most important ones to work on first. Respondents favored questions that focus on how customers typically use their applications. We also saw opposition to questions that assess the performance of individual employees or compare them with one another. Our categorization and catalog of 145 questions can help researchers, practitioners, and educators to more easily focus their efforts on topics that are important to the software industry.<\/p>\n<p>The data appendix for this paper is here: <\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"uy36hAylCJ\"><p><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/analyze-this-145-questions-icse-2014\/\">Analyze This! 145 Questions for Data Scientists in Software Engineering<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;Analyze This! 145 Questions for Data Scientists in Software Engineering&#8221; &#8212; Microsoft Research\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/analyze-this-145-questions-icse-2014\/embed\/#?secret=hhRnGHyGLu#?secret=uy36hAylCJ\" data-secret=\"uy36hAylCJ\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we present the results from two surveys related to data science applied to software engineering. The first survey solicited questions that software engineers would like data scientists to investigate about software, about software processes and practices, and about software engineers. Our analyses resulted in a list of 145 questions grouped into 12 [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Andrew Begel","user_id":"30790"},{"type":"user_nicename","value":"Tom Zimmermann","user_id":"34453"}],"msr_publishername":"ACM","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"Copyright \u00a9 2014 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and\/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM's Digital Library -- http:\/\/www.acm.org\/dl\/.","msr_conference_name":"Proceedings of the 36th International Conference on Software Engineering (ICSE 2014)","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Thomas 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