Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Μετρικές Πολυπλοκότητας Halstead× | Κυκλωματική Πολυπλοκότητα× | |
|---|---|---|
| Πεδίο | Αριθμητικές Μέθοδοι | Αριθμητικές Μέθοδοι |
| Οικογένεια | Machine learning | Machine learning |
| Έτος προέλευσης≠ | 1977 | 1976 |
| Δημιουργός≠ | Maurice Halstead | Thomas McCabe |
| Τύπος≠ | Static code analysis metric | Control-flow complexity metric |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | Halstead metrics, program length, volume metric | CC, cyclomatic number, McCabe complexity |
| Συναφείς | 1 | 1 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|