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Software mining is a subfield of software engineering that focuses on extracting and analyzing information from software artifacts stored in repositories such as version control systems, issue trackers, and communication logs. It aims to uncover patterns and actionable insights about software systems and development processes using techniques such as…
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software mining data systems metadata knowledge discovery metamodel focuses omg evolution engineering artifacts repositories analysis tools levels ontology specification kdm
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Software mining | is a | subfield of software engineering that focuses on extracting and analyzing information from software artifacts stored in repositories such as version control systems | 0.90 | text |
| version control systems | instance of | Software mining is a subfield of software engineering that focuses on extracting and analyzing information from software artifacts stored in repositories | 0.80 | text |
| issue trackers | instance of | Software mining is a subfield of software engineering that focuses on extracting and analyzing information from software artifacts stored in repositories | 0.80 | text |
| and communication logs | instance of | Software mining is a subfield of software engineering that focuses on extracting and analyzing information from software artifacts stored in repositories | 0.80 | text |
| data mining | instance of | It aims to uncover patterns and actionable insights about software systems and development processes using techniques | 0.80 | text |
| statistical analysis | instance of | It aims to uncover patterns and actionable insights about software systems and development processes using techniques | 0.80 | text |
| and machine learning | instance of | It aims to uncover patterns and actionable insights about software systems and development processes using techniques | 0.80 | text |
| supporting activities like software maintenance | instance of | It aims to uncover patterns and actionable insights about software systems and development processes using techniques | 0.80 | text |
| evolution | instance of | It aims to uncover patterns and actionable insights about software systems and development processes using techniques | 0.80 | text |
| and quality assessment | instance of | It aims to uncover patterns and actionable insights about software systems and development processes using techniques | 0.80 | text |
| Software mining | related to Levels of software mining | Knowledge | 0.60 | section |
| Software mining | related to Levels of software mining | Software | 0.60 | section |
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