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[HTML][HTML] How far are we from reproducible research on code smell detection? A systematic literature review
Context: Code smells are symptoms of wrong design decisions or coding shortcuts that may
increase defect rate and decrease maintainability. Research on code smells is accelerating …
increase defect rate and decrease maintainability. Research on code smells is accelerating …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Predictive analytics and software defect severity: A systematic review and future directions
Software testing identifies defects in software products with varying multiplying effects based
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
A survey on machine learning techniques for source code analysis
T Sharma, M Kechagia, S Georgiou, R Tiwari… - ar** study
While some areas of software engineering knowledge present great advances with respect
to the automation of processes, tools, and practices, areas such as software maintenance …
to the automation of processes, tools, and practices, areas such as software maintenance …
On the assessment of interactive detection of code smells in practice: A controlled experiment
Code smells are structures in a program that often indicate the presence of deeper
maintainability problems. Code smells should be detected as soon as they are introduced …
maintainability problems. Code smells should be detected as soon as they are introduced …