Content deleted Content added
Rescuing 1 sources and tagging 0 as dead. #IABot (v1.6.5) |
No edit summary |
||
(One intermediate revision by the same user not shown) | |||
Line 2:
Some examples of Software Defect Indicators:
* Disabled Code: Code has been written and the [[programmer]] has disabled it, or switched it off, without making it clear why it has been disabled, or when or whether it will be re-enabled.
* Routine Too Complex: A program (method, module, routine, subroutine, procedure, or any named block of code) contains more than 10 binary terms in conditional statements.<ref>William T. Ward: "Software Defect Prevention Using McCabe's Complexity Metric", ''Hewlett-Packard Journal'', April 1989, pp 64-69: Control-flow complexity has been correlated with low reliability and frequent errors.</ref>
* Unused Variables: Unreferenced variables are a strong indicator for other errors.<ref>David N. Card, Victor E. Church, and William W. Agresti: "An Empirical Study of Software Design Practices", ''IEEE Transactions on Software Engineering'', SE-12, no. 2, February 1986, pp 264-71: 46 percent of routines with no unused variables had no errors compared to only 17 to 29 percent for those with one or more unreferenced variables.</ref>
* Number of Distinct Committers: The amount of unique developers that have made contributions to a project's commit history. This is a process metric that is useful in indicating software defects. <ref>Madeyski, Lech, and Marian Jureczko. “Which Process Metrics Can Significantly Improve Defect Prediction Models? An Empirical Study.” Software Quality Journal 23.3 (2015): 393–422. Web.</ref>
==See also==
|