השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מדדי מורכבות הלסטד× | סיבוכיות ציקלומטית× | |
|---|---|---|
| תחום | שיטות נומריות | שיטות נומריות |
| משפחה | Machine learning | Machine learning |
| שנת המקור≠ | 1977 | 1976 |
| הוגה השיטה≠ | Maurice Halstead | Thomas McCabe |
| סוג≠ | Static code analysis metric | Control-flow complexity metric |
| מקור מכונן≠ | Halstead, M. H. (1977). Elements of Software Science. Elsevier. ISBN: 0444002057 | McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, SE-2(4), 308–320. DOI ↗ |
| כינויים | Halstead metrics, program length, volume metric | CC, cyclomatic number, McCabe complexity |
| קשורות | 1 | 1 |
| תקציר≠ | Halstead Complexity Metrics are a set of static code analysis measures developed by Maurice Halstead in 1977 that quantify software quality using operator and operand counts. Metrics like program volume, difficulty, and effort estimate code complexity, maintainability, and defect likelihood from source code structure alone. | Cyclomatic Complexity (CC), introduced by Thomas McCabe in 1976, is a quantitative metric measuring the number of linearly independent paths through a function's control-flow graph. A function with high cyclomatic complexity is harder to understand, test, and maintain; McCabe advocated a threshold of 10 as the complexity limit for maintainability. |
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