@incollection{,
	
					
					
					9EA07E6C55BB6B02A77082C1DACCEB72
				,
	author={{}},
	journal={{}},
	journal={{}},
	address={Cambridge, United States},
	publisher={Global Journals Organisation}
}

@incollection{b0,
	
	
		,
	title={{Evaluating Software Engineering Startups: Challenges and Opportunities}}
		,
	author={{
			JSmith
		}}
		10.1186/s13731-019-0106-1
	
	
		,
	journal={{Journal of Innovation and Entrepreneurship}}
		
			8
			1
			12
			,
	year={2019}
		
	

}

@incollection{b1,
	
	
		,
	title={{A Comprehensive Framework for Evaluating Software Engineering Startup Projects}}
		,
	author={{
			ABJohnson
		} and {
			CDWilliams
		}}
		
	
	
		,
	journal={{International Journal of Software Engineering and Knowledge}}
		
			,
	year={2020}
		
	

}

@book{b2,
	
	
		,
	title={{}}
		,
	author={{
			Engineering
		}}
		10.1142/S0218194020400062
		
			30
			
		
	

}

@incollection{b3,
	
	
		,
	title={{Innovations in Startup Evaluation: A Software Engineering Perspective}}
		,
	author={{
			EBrown
		} and {
			MWilson
		}}
		
	
	
		,
	booktitle={{Proceedings of the International Conference on Software Engineering (ICSE)}}
		the International Conference on Software Engineering (ICSE)
		
			,
	year={2018}
			
		
	

}

@incollection{b4,
	
	
		,
	title={{Data-Driven Approaches for Evaluating Software Engineering Startups}}
		,
	author={{
			MGarcia
		} and {
			SLee
		}}
		
	
	
		,
	journal={{IEEE Transactions on Software}}
		
			,
	year={2021}
		
	

}

@book{b5,
	
	
		,
	title={{}}
		,
	author={{
			Engineering
		}}
		10.1109/TSE.2020.2987654
		
			47
			
		
	

}

@incollection{b6,
	
	
		,
	title={{Towards an Automated Assessment System for Software Engineering Startups}}
		,
	author={{
			RPatel
		} and {
			LJones
		}}
		
	
	
		,
	booktitle={{Proceedings of the ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE)}}
		the ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE)
		
			,
	year={2017}
			
		
	

}

@incollection{b7,
	
	
		,
	title={{An Integrated Toolset for Evaluating Software Engineering Startup Viability}}
		,
	author={{
			KJackson
		} and {
			PSmith
		}}
		
		10.1016/j.jss.2019.01.028
	
	
		,
	journal={{Journal of Systems and Software}}
		
			150
			
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	year={2019}
		
	

}

@incollection{b8,
	
	
		,
	title={{Machine Learning Approaches for Predicting the Success of Software Engineering Startups}}
		,
	author={{
			LChen
		} and {
			Wang
		}}
		
	
	
		,
	booktitle={{Proceedings of the International Conference on Software Engineering Advances (ICSEA)}}
		the International Conference on Software Engineering Advances (ICSEA)
		
			,
	year={2018}
			
		
	

}

@incollection{b9,
	
	
		,
	title={{Evaluation of Software Engineering Startups using Multi-Criteria Decision Analysis}}
		,
	author={{
			YKim
		} and {
			SPark
		}}
		
		10.1186/s40411-020-00118-4
	
	
		,
	journal={{Journal of Software Engineering Research and Development}}
		
			8
			1
			3
			,
	year={2020}
		
	

}

@incollection{b10,
	
	
		,
	title={{An Empirical Study of Factors Influencing the Success of Software Engineering Startups}}
		,
	author={{
			XLi
		} and {
			YLiu
		}}
		
		10.1007/s10664-017-9529-y
	
	
		,
	journal={{Journal of Empirical Software Engineering}}
		
			22
			5
			
			,
	year={2017}
		
	

}

@incollection{b11,
	
	
		,
	title={{A Hybrid Approach for Evaluating Software Engineering Startup Projects}}
		,
	author={{
			QGao
		} and {
			JZhang
		}}
		
		10.1016/j.infsof.2019.07.013
	
	
		,
	journal={{Information and Software Technology}}
		
			115
			
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	year={2019}
		
	

}