Detecting software design defects using relational association rule mining

Gabriela Czibula; Zsuzsanna Marian; István Gergely Czibula

doi:10.1007/s10115-013-0721-z

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Detecting software design defects using relational association rule mining

Gabriela Czibula Zsuzsanna Marian István Gergely Czibula

Year: 2014 Journal: Knowledge and Information Systems Vol: 42 (3)Pages: 545-577 Publisher: Springer Science+Business Media

DOI: 10.1007/s10115-013-0721-z

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Keywords:

Computer science Association rule learning Data mining Software Software construction Software development Software system Software metric Software sizing Software quality Software engineering Artificial intelligence Machine learning Programming language

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software System Performance and Reliability

Physical Sciences → Computer Science → Computer Networks and Communications

Detecting software design defects using relational association rule mining

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