Table 1. Summarized view of studies using Halstead metric suite for SFP.

Article	Metrics	Dataset	Technique	Performance measure
Chiu (2011)	Halstead, McCabe, LOC, Branch Count	KC2	LR, SVM, ANN, Integrated decision network approach (IDN)	Acc, Pre, Recall, F-measure
Dejaeger, Verbraken & Baesens (2013)	Halstead, McCabe, LOC	JM1, KC1, MC1, PC1, PC2, PC3, PC4, PC5, EC12.0a, EC12.1a, EC13.0a	LR, RF, NB	AUC, H-Measure
Arar & Ayan (2015)	Halstead, McCabe	KC1, KC2, JM1, PC1, CM1	ANN, Artificial Bee Colony (ABC)	AUC, Acc
Dhanajayan & Pillai (2017)	Halstead, McCabe, LOC, Branch Count	CM1	NB, RF, ANN, Spiral life cycle model-based Bayesian classification (SLMBC)	False Negative Rate, False Positive Rate, Overall error rate
Bhandari & Gupta (2018)	Halstead, McCabe, LOC	JM1, PC1, KC1, jEdit	RF, DT, NB, SVM, ANN	Acc, F1-Score, precision, recall, AUC
Shippey, Bowes & Hall (2019)	Halstead, McCabe, LOC, Branch Count	T2, T1, EJDT, ArgoUML, AspectJ, JMOL, GenoViz, K Framework, SocialSDK, JMRI, JBoss Reddeer	NB, DT, RF.	Recall, Pre
Ahmed et al. (2020)	Halstead, McCabe, LOC, Branch_Count, Call_Pairs	PC1, PC2, PC3, PC4, PC5, JM1, KC1, MC1, Ecl2.0a, Ecl2.1a, Ecl3.0a,	DT, NB, SVM, RF, KNN, LR,	AUC
Cetiner & Sahingoz (2020)	Halstead, McCabe, LOC	PC1, JM1, KC1, CM1, KC2	DT, NB, KNN, SVM, RF, MLP, Extra Trees, Ada boost, Gradient Boosting, Bagging	Acc
Kumar, Kumar & Mohapatra (2021)	Halstead, McCabe, LOC	PC1, PC2, PC3, PC4, CM1, JM1, KC3 DT, CRV, BN, LS, LR	LR, NB, D,T MLP, SVM, RF, LSSVM	Acc, AUC, F1-Score