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Issue No.04 - July-Aug. (2013 vol.30)
pp: 53-56
Ahmed E. Hassan , Queen's University, Canada
Abram Hindle , University of Alberta
Per Runeson , Lund University
Martin Shepperd , Brunel University
Prem Devanbu , University of California, Davis
Sunghun Kim , Hong Kong University of Science and Technology
ABSTRACT
For this special issue, the guest editors asked a panel of six established experts in software analytics to highlight what they thought were the most important, or overlooked, aspect of this field. They all pleaded for a much broader view of analytics than seen in current practice: software analytics should go beyond developers (Ahmed Hassan) and numbers (Per Runeson). Analytics should also prove its relevance to practitioners (Abram Hindle, Martin Shepperd). There are now opportunities for "natural" software analytics based on statistical natural language processing (Prem Devanbu). Lastly, software analytics needs information analysts and field agents like Chloe O'Brian and Jack Bauer in the TV show 24 (Sung Kim).
INDEX TERMS
Software development, Data mining, Software engineering, Analytical models, Natural language processing, Analytical models, decision support, software/program verification, statistical methods, testing and debugging, metrics, management, information search and retrieval
CITATION
Ahmed E. Hassan, Abram Hindle, Per Runeson, Martin Shepperd, Prem Devanbu, Sunghun Kim, "Roundtable: What's Next in Software Analytics", IEEE Software, vol.30, no. 4, pp. 53-56, July-Aug. 2013, doi:10.1109/MS.2013.85
REFERENCES
1. E. Shihab et al., “An Industrial Study on the Risk of Software Changes,” Proc. ACM SIGSOFT Symp. Foundations of Software Eng. (FSE 12), ACM, 2012.
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