For intelligence demonstrated by machines through software, see artificial intelligence.
Software intelligence is insight into the inner workings and structural condition of software assets produced by software designed to analyze database structure, software framework and source code to better understand and control complex software systems in information technology environments.[1][2] Similarly to business intelligence (BI), software intelligence is produced by a set of software tools and techniques for the mining of data and the software's inner-structure. Results are automatically produced and feed a knowledge base containing technical documentation and blueprints of the innerworking of applications,[3] and make it available to all to be used by business and software stakeholders to make informed decisions,[4] measure the efficiency of software development organizations, communicate about the software health, prevent software catastrophes.[5]
^Dąbrowski R. (2012) On Architecture Warehouses and Software Intelligence. In: Kim T., Lee Y., Fang W. (eds) Future Generation Information Technology. FGIT 2012. Lecture Notes in Computer Science, vol 7709. Springer, Berlin, Heidelberg
^Hinchey, Mike; Jain, Amit; Kaushik, Manju; Misra, Sanjay (Jan 2023). "Guest Editorial: Intelligence for systems and software engineering". Innovations in Systems and Software Engineering. 19 (1). Springer: 1–4. doi:10.1007/s11334-023-00526-1. PMC 9886201. PMID 36744022.
^Bartoszuk, C., Dąbrowski, R., Stencel, K., & Timoszuk, G. "On quick comprehension and assessment of software.", In Proceedings of the 14th International Conference on Computer Systems and Technologies, June 2013, pp. 161-168 doi:10.1145/2516775.2516806
^Raymond PL Buse, and Thomas Zimmermann. "Information needs for software development analytics." 2012 34th International Conference on Software Engineering (ICSE). IEEE, June 2012, pp. 987-996 doi:10.1109/ICSE.2012.6227122
^Ahmed E. Hassan and Tao Xie. 2010. Software intelligence: the future of mining software engineering data. In Proceedings of the FSE/SDP workshop on Future of software engineering research (FoSER '10). ACM, New York, NY, USA, 161–166
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