השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| סיבוכיות ציקלומטית× | מדדי מורכבות הלסטד× | |
|---|---|---|
| תחום | שיטות נומריות | שיטות נומריות |
| משפחה | Machine learning | Machine learning |
| שנת המקור≠ | 1976 | 1977 |
| הוגה השיטה≠ | Thomas McCabe | Maurice Halstead |
| סוג≠ | Control-flow complexity metric | Static code analysis metric |
| מקור מכונן≠ | McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, SE-2(4), 308–320. DOI ↗ | Halstead, M. H. (1977). Elements of Software Science. Elsevier. ISBN: 0444002057 |
| כינויים | CC, cyclomatic number, McCabe complexity | Halstead metrics, program length, volume metric |
| קשורות | 1 | 1 |
| תקציר≠ | 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. | 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. |
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