Quality Prediction of Web Services Based on a Covering Algorithm

Table 1

Comparison of MAE and RMSE on the WS-Dream dataset (λ = 0.6, k = 2).

Quality dimension	Method	MAE						RMSE
		Matrix density
		0.2	0.25	0.3	0.35	0.4	Avg	0.2	0.25	0.3	0.35	0.4	Avg
RT	UPCC	0.518	0.509	0.497	0.484	0.478	0.497	1.445	1.421	1.405	1.391	1.381	1.409
	IPCC	0.580	0.516	0.480	0.457	0.443	0.495	1.472	1.394	1.355	1.328	1.308	1.371
	UIPCC	0.495	0.469	0.452	0.438	0.429	0.457	1.347	1.306	1.286	1.272	1.253	1.293
	UCAPK	0.503	0.482	0.458	0436	0.419	0.459	1.368	1.263	1.192	1.161	1.134	1.223
	ICAPK	0.534	0.515	0498	0.471	0.446	0.492	1.471	1.378	1.321	1.252	1.186	1.321
	UICAPK	0.482	0.469	0.451	0.432	0.415	0.449	1.31	1.261	1.227	1.204	1.188	1.239
	TOSEM	0.489	0.472	0.456	0.439	0.429	0.456	1.353	1.323	1.293	1.261	1.249	1.296
	NIMF	0.454	0.437	0.421	0.412	0.402	0.425	1.151	1.123	1.104	1.087	1.077	1.108
	UQPCA	0.395	0.386	0.379	0.371	0.366	0.379	1.329	1.311	1.305	1.285	1.272	1.299
	IQPCA	0.404	0.396	0.389	0.381	0.373	0.388	1.236	1.227	1.225	1.205	1.179	1.214
	UIQPCA	0.368	0.358	0.354	0.345	0.341	0.353	1.221	1.205	1.201	1.181	1.161	1.193
TP	UPCC	20.646	19.057	18.531	17.768	17.156	18.632	63.459	60.902	60.486	59.159	58.103	60.422
	IPCC	30.322	28.150	26.825	25.427	24.246	26.994	72.673	69.847	68.307	65.870	64.148	68.169
	UIPCC	23.394	21.618	20.740	19.766	19.918	21.087	64.528	61.729	60.696	58.874	57.524	60.670
	UCAPK	18.123	17.735	16.494	16.325	16.069	16.949	60.530	59.474	58.823	58.243	58.118	59.037
	ICAPK	25.095	24.893	24.417	23.564	22.857	24.165	72.031	69.807	67.293	62.451	60.738	66.464
	UICAPK	17.065	16.785	15.706	14.729	14.401	15.737	56.593	56.168	55.895	55.545	55.203	55.881
	TOSEM	22.651	20.643	19.243	18.534	17.645	19.743	65.341	62.625	60.330	59.958	58.027	61.256
	NIMF	14.494	13.688	13.346	12.923	12.589	13.408	41.414	39.325	38.524	37.744	36.542	38.709
	UQPCA	14.483	13.809	13.467	13.065	12.732	13.511	48.519	46.779	46.178	45.201	44.308	46.197
	IQPCA	18.475	17.759	17.357	16.887	16.646	17.424	48.561	46.948	45.848	44.984	44.191	46.106
	UIQPCA	13.727	13.138	12.861	12.503	12.261	12.898	42.895	41.492	40.805	40.052	39.256	40.9