id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ldcd3yq7wverxmugytokxwwahe	Charitha Hettiarachchi	Risk-based test case prioritization using a fuzzy expert system	2016	33	.pdf	application/pdf	13737	1188	62	Conclusion: We proposed an enhanced risk-based test case prioritization approach that estimates requirements risks While the majority of test case prioritization approaches utilize source code information, some researchers have investigated using other software artifacts, such as risk-based test case prioritization approach by considering the direct relationship between requirements risks and the While our previous research was shown to be promising, the approach required human experts' involvement during the risk estimation process. The results of our study indicate that the systematic, risk-based test case prioritization approach has the capability to find faults earlier compared with other test case prioritization techniques, including our previous requirements riskbased approach. case prioritization techniques, mainly focusing on techniques that use requirements, risks, and fuzzy expert systems • Heuristic (Tfrrb): The proposed technique uses a fuzzy expert system to estimate requirements risks and prioritizes the test cases as described in Section 3.	./cache/work_ldcd3yq7wverxmugytokxwwahe.pdf	./txt/work_ldcd3yq7wverxmugytokxwwahe.txt