Some Code Smells Have a Significant but Small Effect on Faults
Tracy Hall; Min Zhang; David Bowes; Yi Sun · 2014 · ACM Transactions on Software Engineering and Methodology
WASTE classifies this as Failed Experiment Report · AI classification, approximate
An experimental approach did not work as intended — learn what to avoid before investing the same effort.
Abstract (excerpt)
We investigate the relationship between faults and five of Fowler et al.'s least-studied smells in code: Data Clumps, Switch Statements, Speculative Generality, Message Chains, and Middle Man. We developed a tool to detect these five…
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Metadata source: Crossref · DOI 10.1145/2629648